Software brains for computers that do stuff. Everythin from fun and games to data mining to physical robotics. This is a great hobbiest area of AI with many areas of interest to pursue. I've broken it down loosely into 2 sections. AI for purely software based agents and that for embodied agents (even if only simulated).
Also known as intelligent software agents or just agents, this area of AI research deals with simple applications of small programs that aid the user in his/her work. They can be mobile (able to stop their execution on one machine and resume it on another) or static (live in one machine). They are usually specific to the task (and therefore fairly simple) and meant to help the user much as an assistant would.
2APL (pronounced as double-a-p-l) is an agent-oriented programming language that facilitates the implementation of multi-agent systems. At the multi-agent level, it provides programming constructs to specify a multi-agent system in terms of a set of individual agents, a set of environments in which they can perform actions, and the access relation between the individual agents and the environments. At the individual agent level, it provides programming constructs to implement cognitive agents based on the BDI architecture.
3APL is a programming language for implementing cognitive agents. It provides programming constructs for implementing agents' beliefs, goals, basic capabilities (such as belief updates, external actions, or communication actions) and a set of practical reasoning rules through which agents' goals can be updated or revised. The 3APL programs are executed on the 3APL platform. Each 3APL program is executed by means of an interpreter that deliberates on the cognitive attitudes of that agent.
The Agent is a prototype for an Information Agent system. It is both platform and language independent, as it stores contained information in simple packed strings. It can be packed and shipped across any network with any format, as it freezes itself in its current state.
agentTool is a Eclipse-based graphical development environment to help users analyze, design, and implement multiagent systems. It is designed to support the highly tailorable Organization-based Multiagent Systems Engineering (O-MaSE) methodology. agentTool currently supports all O-MaSE models including the Goal Model, Agent Model, Role Model, Organization Model, Protocol Model, Plan Model, Capability-Action Model, Domain Model, and Policy Model.
An aglet is a Java object that can move from one host on the Internet to another. That is, an aglet that executes on one host can suddenly halt execution, dispatch to a remote host, and resume execution there. When the aglet moves, it takes along its program code as well as its state (data). A built-in security mechanism makes it safe for a computer to host untrusted aglets. The Java Aglet API (J-AAPI) is a proposed public standard for interfacing aglets and their environment. J-AAPI contains methods for initializing an aglet, message handling, and dispatching, retracting, deactivating/activating, cloning, and disposing of the aglet. J-AAPI is simple, flexible, and stable. Application developers can write platform-independent aglets and expect them to run on any host that supports J-AAPI.
AJA (Adaptable Java Agents) consists of two programming languages. HADL (Higher Agent Definition Language) is a higher-level language used for the description of the main agent parts. Java+ is the lower-level language used for the programming of the agent parts defined in HADL. It is actually Java enriched with the constructs for accessing higher-level agent parts defined in HADL.
The ALICE software implements AIML (Artificial Intelligence Markup Language), a non-standard evolving markup language for creating chat robots. The primary design feature of AIML is minimalism. Compared with other chat robot languages, AIML is perhaps the simplest. The pattern matching language is very simple, for example permitting only one wild-card ('*') match character per pattern. AIML is an XML language, implying that it obeys certain grammatical meta-rules. The choice of XML syntax permits integration with other tools such as XML editors. Another motivation for XML is its familiar look and feel, especially to people with HTML experience.
APRIL is a symbolic programming language that is designed for writing mobile, distributed and agent-based systems especially in an Internet environment. It has advanced features such as a macro sub-language, asynchronous message sending and receiving, code mobility, pattern matching, higher-order functions and strong typing. The language is compiled to byte-code which is then interpreted by the APRIL runtime-engine. APRIL now requires the InterAgent Communications Model (ICM) to be installed before it can be installed. [Ed. ICM can be found at the same web site]
Ara is a platform for the portable and secure execution of mobile agents in heterogeneous networks. Mobile agents in this sense are programs with the ability to change their host machine during execution while preserving their internal state. This enables them to handle interactions locally which otherwise had to be performed remotely. Ara's specific aim in comparison to similar platforms is to provide full mobile agent functionality while retaining as much as possible of established programming models and languages.
Bee-gent is a new type of development framework in that it is a 100% pure agent system. As opposed to other systems which make only some use of agents, Bee-gent completely "Agentifies" the communication that takes place between software applications. The applications become agents, and all messages are carried by agents. Thus, Bee-gent allows developers to build flexible open distributed systems that make optimal use of existing applications.
Bond is a Java based distributed object system and agent framework. It implements a message based middleware and associated services like directory, persistence, monitoring and security. Bond allows to easily build multi agent, distributed applications. Another application of Bond will be a Virtual Laboratory supporting data annotation and metacomputing.
Cougaar is java-based architecture for the construction of large-scale distributed agent-based applications. It is the product of a multi-year DARPA research project into large scale agent systems and includes not only the core architecture but also a variety of demonstration, visualization and management components to simplify the development of complex, distributed applications. [Yet another java based agent system -- ed.]
A transportable agent is a program that can migrate from machine to machine in a heterogeneous network. The program chooses when and where to migrate. It can suspend its execution at an arbitrary point, transport to another machine and resume execution on the new machine. For example, an agent carrying a mail message migrates first to a router and then to the recipient's mailbox. The agent can perform arbitrarily complex processing at each machine in order to ensure that the message reaches the intended recipient.
Delbot is an attempt to build a assistant-bot like Apple Siri or Ask Google. It has a voice interface and uses natural lanauge processing to searches news and knowledge sources, and summarizes and reads out content to you. It is written in Python and uses spaCy (also free software) for NLP.
DIET Agents is a lightweight, scalable and robust multi-agent platform in Java. It is especially suitable for rapidly developing P2P prototype applications and/or adaptive, distributed applications that use bottom-up, nature-inspired techniques.
FM - The FishMarket project conducted at the Artificial Intelligence Research Institute (IIIA-CSIC) attempts to contribute in that direction by developing FM, an agent-mediated electronic auction house which has been evolved into a test-bed for electronic auction markets. The framework, conceived and implemented as an extension of FM96.5 (a Java-based version of the Fishmarket auction house), allows to define trading scenarios based on fish market auctions (Dutch auctions). FM provides the framework wherein agent designers can perform controlled experimentation in such a way that a multitude of experimental market scenarios--that we regard as tournament scenarios due to the competitive nature of the domain-- of varying degrees of realism and complexity can be specified, activated, and recorded; and trading (buyer and seller) heterogeneous (human and software) agents compared, tuned and evaluated.
Another Java agent system. Full featured and actively developed. Commercial, but free. Historically targeted at embedded systems.
Hive is a Java software platform for creating distributed applications. Using Hive, programmers can easily create systems that connect and use data from all over the Internet. At its heart, Hive is an environment for distributed agents to live, communicating and moving to fulfill applications. We are trying to make the Internet alive.
The Inter-Agent Communication Model (ICM) is a communication mechanism that can be used for sending messages between agents in an asynchronous fashion. Its intended application area is as a transportation mechanism for agent communication languages (ACLs), such as KQML and FIPA's ACL.
Jacomma is an agent development platform/framework for developing distributed, mobile, and reactive information agents with heterogeneous communication capabilities, in Java and JPython.
Jacomma provides a development framework and an execution environment, which sits on top of the Inter-Agent Communication Model infrastructure. The ICM defines a communication protocol, a store and forward messaging architecture, and low level communication infrastructure for message exchange. Communication is truly asynchronous, based on TCP sockets.
ICM has an entry in this howto, or you can find it via a link off the site.
JADE (Java Agent DEvelopment Framework) is a software framework fully implemented in Java language. It simplifies the implementation of multi-agent systems through a middle-ware that claims to comply with the FIPA specifications and through a set of tools that supports the debugging and deployment phase. The agent platform can be distributed across machines (which not even need to share the same OS) and the configuration can be controlled via a remote GUI. The configuration can be even changed at run-time by moving agents from one machine to another one, as and when required.
JAM supports both top-down, goal-based reasoning and bottom-up data-driven reasoning. JAM selects goals and plans based on maximal priority if metalevel reasoning is not used, or user-developed metalevel reasoning plans if they exist. JAM's conceptualization of goals and goal achievement is more classically defined (UMPRS is more behavioral performance-based than truly goal-based) and makes the distinction between plans to achieve goals and plans that simply encode behaviors. Goal-types implemented include achievement (attain a specified world state), maintenance (re-attain a specified world state), and performance. Execution of multiple simultaneous goals are supported, with suspension and resumption capabilities for each goal (i.e., intention) thread. JAM plans have explicit precondition and runtime attributes that restrict their applicability, a postcondition attribute, and a plan attributes section for specifying plan/domain-specific plan features. Available plan constructs include: sequencing, iteration, subgoaling, atomic (i.e., non-interruptable) plan segments, n-branch deterministic and non-deterministic conditional execution, parallel execution of multiple plan segments, goal-based or world state-based synchronization, an explicit failure-handling section, and Java primitive function definition through building it into JAM as well as the invocation of predefined (i.e., legacy) class members via Java's reflection capabilities without having to build it into JAM.
JASA is a high performance auction simulator suitable for conducting experiments in agent-based computational economics. It implements various auction mechanisms, trading strategies and experiments described in the computational economics literature, and as the software matures we hope that it will become a repository for reference implementations of commonly used mechanisms, strategies and learning algorithms.
A Java-based interpreter for an extended version of AgentSpeak. Unlike other BDI (Beliefs-Desires-Intentions) agent tools, Jason implements the operational semantics of AgentSpeak, a BDI logic programming language extensively discussed in the literature. It is available as Open Source under GNU LGPL.
JATLite is providing a set of java packages which makes easy to build multi-agent systems using Java. JATLite provides only light-weight, small set of packages so that the developers can handle all the packages with little efforts. For flexibility JATLite provides four different layers from abstract to Router implementation. A user can access any layer we are providing. Each layer has a different set of assumptions. The user can choose an appropriate layer according to the assumptions on the layer and user's application. The introduction page contains JATLite features and the set of assumptions for each layer.
The JAT provides a fully functional template, written entirely in the Java language, for constructing software agents which communicate peer-to-peer with a community of other agents distributed over the Internet. Although portions of the code which define each agent are portable, JAT agents are not migratory but rather have a static existence on a single host. This behavior is in contrast to many other "agent" technologies. (However, using the Java RMI, JAT agents could dynamically migrate to a foreign host via an agent resident on that host). Currently, all agent messages use KQML as a top-level protocol or message wrapper. The JAT includes functionality for dynamically exchanging "Resources", which can include Java classes (e.g. new languages and interpreters, remote services, etc.), data files and information inlined into the KQML messages.
Lyntin is an extensible Mud client and framework for the creation of autonomous agents, or bots, as well as mudding in general. Lyntin is centered around Python, a dynamic, object-oriented, and fun programming language and based on TinTin++ a lovely mud client.
Mole is an agent system supporting mobile agents programmed in Java. Mole's agents consist of a cluster of objects, which have no references to the outside, and as a whole work on tasks given by the user or another agent. They have the ability to roam a network of "locations" autonomously. These "locations" are an abstraction of real, existing nodes in the underlying network. They can use location-specific resources by communicating with dedicated agents representing these services. Agents are able to use services provided by other agents and to provide services as well.
Narval is the acronym of "Network Assistant Reasoning with a Validating Agent Language". It is a personal network assistant based on artificial intelligence and agent technologies. It executes recipes (sequences of actions) to perform tasks. It is easy to specify a new action using XML and to implement it using Python. Recipes can be built and debugged using a graphical interface.
NeL is actually a game development library (for massive multi-player games), but I'm including it here as it (will) include a fairly sizable AI library. Here's a blurb from the whitepaper:
The purpose of the AI library is to provide a pragmatic approach to creating a distributed agents platform. Its focus is agents; individual entities that communicate regardless of location, using an action-reaction model.
The Open Agent Architecture is a framework in which a community of software agents running on distributed machines can work together on tasks assigned by human or non-human participants in the community. Distributed cooperation and high-level communication are two ideas central to the foundation of the OAA.
It defines an interagent communication language and supports multiple platforms and programming languages.
The Open Cognition Framework (OpenCog) is software for the collaborative development of safe and beneficial Artificial General Intelligence.
OpenCog provides research scientists and software developers with a common platform to build and share artificial intelligence programs. The framework includes:
OpenSteer is a C++ library to help build steering behaviors for autonomous characters in games and animation. OpenSteer provides an app which displays predefined demos of steering behaviors. You can prototype, visualize and debug your own as a plug-in.
ORTS is a programming environment for studying real-time AI problems such as pathfinding, dealing with imperfect information, scheduling, and planning in the domain of RTS games. These games are fast-paced and very popular. Furthermore, the current state of RTS game AI is bleak which is mainly caused by the lack of planning and learning - areas in which humans are currently much better than machines. Therefore, RTS games make an ideal test-bed for real-time AI research. Unfortunately, commercial RTS games are closed software which prevents researchers from connecting remote AI modules to them. Furthermore, commercial RTS games are based on peer-to-peer technology - which in a nutshell runs the entire simulation on all player machines and just hides part of the game state from the players. By tampering with the client software it is possible to reveal the entire game state and thereby gain an unfair advantage. We feel that this is unacceptable for playing games on the internet. We therefore started the ORTS project to create a free software system that lets people and machines play fair RTS games. The communication protocol is public and all source code and artwork is freely available. Users can connect whatever client software they like. This is made possible by a server/client architecture in which only the currently visible parts of the game state are sent to the players. This openness leads to new and interesting possibilities ranging from on-line tournaments of autonomous AI players to gauge their playing strength to hybrid systems in which human players use sophisticated GUIs which allow them to delegate tasks to AI helper modules of increasing performance.
Penguin is a Perl 5 module. It provides you with a set of functions which allow you to:
Ps-i is an environment for running agent-based simulations. It is cross-platform, with binaries available for Win32. Features include:
Pyro is a library, environment, graphical user interface, and low-level drivers to explore AI and robotics using the Python language. It works with many real robotics platforms and simulators. Extensive algorithms including behavior-based, vision (motion tracking, blobs, etc.), learning (back-propagation, self-organizing maps, etc.), evolutionary, and more.
Quackle is a world-class crossword game artificial intelligence and analysis tool. It includes a move generator, simulator, and Qt-based user interface and can be used with any board layout, alphabet, lexicon, and tile distribution.
Recast is state of the art navigation mesh construction toolset for games.
The Library is free for commercial use and open source under the ZLib License.
Recast is accompanied with Detour, path-finding and spatial reasoning toolkit. You can use any navigation mesh with Detour, but of course the data generated with Recast fits perfectly.
Detour offers simple static navigation mesh which is suitable for many simple cases, as well as tiled navigation mesh which allows you to plug in and out pieces of the mesh. The tiled mesh allows to create systems where you stream new navigation data in and out as the player progresses the level, or you may regenerate tiles as the world changes.
Remembrance Agents are a set of applications that watch over a user's shoulder and suggest information relevant to the current situation. While query-based memory aids help with direct recall, remembrance agents are an augmented associative memory. For example, the word-processor version of the RA continuously updates a list of documents relevant to what's being typed or read in an emacs buffer. These suggested documents can be any text files that might be relevant to what you are currently writing or reading. They might be old emails related to the mail you are currently reading, or abstracts from papers and newspaper articles that discuss the topic of your writing.
The SimAgent toolkit provides a range of resources for research and teaching related to the development of interacting agents in environments of various degrees and kinds of complexity. It can be run as a pure simulation tool, or installed in a robot with a sufficiently powerful on-board computer, e.g. running linux. It was originally developed to support exploratory research on human-like intelligent agents, but has also been used for student projects developing a variety of interactive games and simulations.
spyse is a development framework and platform for building multi-agent systems using the Python programming language. A multi-agent system (MAS) combines concepts from distributed computing and artificial intelligence. Agents are autonomously reasoning software entities that can collaborate (or compete) in order to achieve a (common) goal. By cooperating they create emergent behaviour in the system (distributed artificial intelligence). The architecture of a MAS is specified in the FIPA standard.
Spyse provides multiple means for reasoning (BDI logics, CLIPS expert shell, etc.) and communicating locally and remotely.
Each agent has its own thread of control. Agents within and among instances of the platform communicate by exchanging messages based on ontologies. Spyse makes use of the Web Ontology Language (OWL) defined for the Semantic Web.
TKQML is a KQML application/addition to Tcl/Tk, which allows Tcl based systems to communicate easily with a powerful agent communication language.
An agent is a process that may migrate through a computer network in order to satisfy requests made by clients. Agents are an attractive way to describe network-wide computations.
The TACOMA project focuses on operating system support for agents and how agents can be used to solve problems traditionally addressed by operating systems. We have implemented a series of prototype systems to support agents.
TACOMA Version 1.2 is based on UNIX and TCP. The system supports agents written in C, Tcl/Tk, Perl, Python, and Scheme (Elk). It is implemented in C. This TACOMA version has been in public domain since April 1996.
We are currently focusing on heterogeneity, fault-tolerance, security and management issues. Also, several TACOMA applications are under construction. We implemented StormCast 4.0, a wide-area network weather monitoring system accessible over the internet, using TACOMA and Java. We are now in the process of evaluating this application, and plan to build a new StormCast version to be completed by June 1997.
UMPRS supports top-down, goal-based reasoning and selects goals and plans based on maximal priority. Execution of multiple simultaneous goals are supported, with suspension and resumption capabilities for each goal (i.e., intention) thread. UMPRS plans have an integrated precondition/runtime attribute that constrain their applicability. Available plan constructs include: sequencing, iteration, subgoaling, atomic (i.e., non-interruptable) blocks, n-branch deterministic conditional execution, explicit failure-handling section, and C++ primitive function definition.
Universe is a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications. This is the universe open-source library, which provides a simple interface to each Universe environment.
Universe allows an AI agent to use a computer like a human does: by looking at screen pixels and operating a virtual keyboard and mouse. We must train AI systems on the full range of tasks we expect them to solve, and Universe lets us train a single agent on any task a human can complete with a computer.
WebMate is a personal agent for World-Wide Web browsing and searching. It accompanies you when you travel on the internet and provides you what you want.
From fun battling robot games to full robot control systems. The idea is physical agents in the real world, or at least their control programming.
ARIA is an object oriented toolkit for controlling MobileRobots/ActivMedia mobile robots and their accessories, and for creating robot control applications. It is a C++ library with Python and Java bindings. It also provides many cross-platform and high-level tools for multimedia, networking, and other useful tasks.
AI programming game where you design the bot by selecting hardware and programming its CPU, then competing with other bots. Competitions can have teams and special rules for a game.
The hardware for use in your bot includes weapons, engine, scanners, CPU, etc. The programming lauguage is dependent on the CPU type and is similar to an assembly language.
Cadaver is a simulated world of cyborgs and nature in realtime. The battlefield consists of forests, grain, water, grass, carcass (of course) and lots of other things. The game server manages the game and the rules. You start a server and connect some clients. The clients communicate with the server using a very primitive protocol. They can order cyborgs to harvest grain, attack enemies or cut forest. The game is not intended to be played by humans! There is too much to control. Only for die-hards: Just telnet to the server and you can enter commands by hand. Instead the idea is that you write artificial intelligence clients to beat the other artificial intelligences. You can choose a language (and operating system) of your choice to do that task. It is enough to write a program that communicates on standard input and standard output channels. Then you can use programs like "socket" to connect your clients to the server. It is NOT needed to write TCP/IP code, although i did so :) The battle shall not be boring, and so there is the so called spyboss client that displays the action graphically on screen.
CARMEN, the Carnegie Mellon Robot Navigation Toolkit. CARMEN is an open-source collection of software for mobile robot control. CARMEN is modular software designed to provide basic navigation primatives including: base and sensor control, logging, obstacle avoidance, localization, path planning, and mapping.
CLARAty is an integrated framework for reusable robotic software. It defines interfaces for common robotic functionality and integrates multiple implementations of any given functionality. Examples of such capabilities include pose estimation, navigation, locomotion and planning. In addition to supporting multiple algorithms, it provides adaptations to multiple robotic platforms.
This is a public release of the some of the code used in the Mars rover projects at NASA. It is under a free for non-commercial use licence and consists of large number of modules and algorithms along with extensive documentation.
GNU Robots is a game/diversion where you construct a program for a little robot, then watch him explore a world. The world is filled with baddies that can hurt you, objects that you can bump into, and food that you can eat. The goal of the game is to collect as many prizes as possible before are killed by a baddie or you run out of energy. Robots can be written in Guile scheme or using a GUI.
Infon Battle Arena is a networked multiplayer real-time programming game featuring little creatures fighting for food. You upload your Creature Code (written in Lua) to a game server using a telnet Interface. The game server then runs your code. The graphical client can be used to watch running games or replay recorded games.
Khepera Simulator is a public domain software package written by Olivier MICHEL during the preparation of his Ph.D. thesis, at the Laboratoire I3S, URA 1376 of CNRS and University of Nice-Sophia Antipolis, France. It allows to write your own controller for the mobile robot Khepera using C or C++ languages, to test them in a simulated environment and features a nice colorful X11 graphical interface. Moreover, if you own a Khepera robot, it can drive the real robot using the same control algorithm. It is mainly oriented toward to researchers studying autonomous agents.
MORSE is an generic simulator for academic robotics. It focuses on realistic 3D simulation of small to large environments, indoor or outdoor, with one to tenths of autonomous robots.
MORSE can be entirely controlled from the command-line. Simulation scenes are generated from simple Python scripts.
MORSE comes with a set of standard sensors (cameras, laser scanner, GPS, odometry,...), actuators (speed controllers, high-level waypoints controllers, generic joint controllers) and robotic bases (quadrotors, ATRV, Pioneer3DX, generic 4 wheel vehicle, PR2,...). New ones can easily be added.
MORSE rendering is based on the Blender Game Engine. The OpenGL-based Game Engine supports shaders, provides advanced lightning options, supports multi-texturing, and use the state-of-the-art Bullet library for physics simulation.
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform, and open source C++ library aimed to help robotics researchers to design and implement algorithms in the fields of Simultaneous Localization and Mapping (SLAM), computer vision, and motion planning (obstacle avoidance).
Neuro-Evolving Robotic Operatives, or NERO for short, is a unique computer game that lets you play with adapting intelligent agents hands-on. Evolve your own robot army by tuning their artificial brains for challenging tasks, then pit them against your friends' teams in online competitions!
The goals of the project are (1) to demonstrate the power of state-of-the-art machine learning technology, (2) to create an engaging game based on it, and (3) to provide a robust and challenging development and benchmarking domain for AI researchers.
Closed source but free to download. They are working on OpenNERO which will be open source and more intended as a research platform.
Orca is an open-source framework for developing component-based robotic systems. It provides the means for defining and developing the building-blocks which can be pieced together to form arbitrarily complex robotic systems, from single vehicles to distributed sensor networks.
Player is a device server that provides a powerful, flexible interface to a variety of sensors and actuators (e.g., robots). Because Player uses a TCP socket-based client/server model, robot control programs can be written in any programming language and can execute on any computer with network connectivity to the robot. In addition, Player supports multiple concurrent client connections to devices, creating new possibilities for distributed and collaborative sensing and control.
RealTimeBattle is a programming game, in which robots controlled by programs are fighting each other. The goal is to destroy the enemies, using the radar to examine the environment and the cannon to shoot.
A java based robot combat programming game. It provides a simple API and class framework. It is designed as a means of learning Java and is easy to start using while not constraining the programmer from more advanced techniques. It has a built in security manager for running other peoples robots in a safe way.
Robodeb is a complete robotics simulation environment for teaching concurrency and parallelism. It provides a unique environment for exploring concurrency and robotics. It provides a complete IDE for the occam-pi programming language, and leverages the Transterpreter, our portable and flexible runtime for the language. This combination is critical, as it provides a principled interface to the Player/Stage API, a set of widely used libraries for controlling the Pioneer3 robotics platform.
RobotFlow is a mobile robotics tookit based on the FlowDesigner project. FlowDesigner is a data-flow oriented architecture, similar to Simulink (Matlab) or Labview that is free (LGPL) and versatile. The visual programming interface provided in the FlowDesigner project will help people to better visualize & understand what is really happening in the robot's control loops, sensors, actuators, by using graphical probes and debugging in real-time.
RoboTournament is a RoboRally inspired game where players program their robots to vanquish their opponents. RoboTournament features: Multiple Game Types: Death Match, Rally, and Capture The Flag. Multi-Player through TCP/IP, Six weapons including BFG, Map Editor, and a wide variety of board elements.
ROS is an operating system for your robot. It provides the services you would expect from an operating system, including hardware abstraction, low-level device control, implementation of commonly-used functionality, message-passing between processes, and package management. It also provides tools and libraries for obtaining, building, writing, and running code across multiple computers.
Simbad is a Java 3d robot simulator for scientific and educationnal purposes. It is mainly dedicated to researchers/programmers who want a simple basis for studying Situated Artificial Intelligence, Machine Learning, and more generally AI algorithms, in the context of Autonomous Robotics and Autonomous Agents. It is not intented to provide a real world simulation and is kept voluntarily readable and simple.
Simbad enables programmers to write their own robot controller, modify the environment and use the available sensors. Don't think of it as a finite product but merely as an opened framework to test your own ideas.
SimRobot is a program for simulation of sensor based robots in a 3D environment. It is written in C++, runs under UNIX and X11 and needs the graphics toolkit XView.
TclRobots is a programming game, similar to 'Core War'. To play TclRobots, you must write a Tcl program that controls a robot. The robot's mission is to survive a battle with other robots. Two, three, or four robots compete during a battle, each running different programs (or possibly the same program in different robots.) Each robot is equipped with a scanner, cannon, drive mechanism. A single match continues until one robot is left running. Robots may compete individually, or combine in a team oriented battle. A tournament can be run with any number of robot programs, each robot playing every other in a round-robin fashion, one-on-one. A battle simulator is available to help debug robot programs.
The TclRobots program provides a physical environment, imposing certain game parameters to which all robots must adhere. TclRobots also provides a view on a battle, and a controlling user interface. TclRobots requirements: a wish interpreter built from Tcl 7.4 and Tk 4.0.
URBI is a Universal Real-time Behavior Interface and gives you a simple but powerful way to control any robot or complex system like a video game, using a convenient and easy to use scripting language that can be interfaced with several popular programming languages (C++, Java, Matlab,...) and OS (Windows, Mac OSX, Linux). URBI is based on a client/server architecture, which give a great deal of flexibility. URBI includes powerful features compared to existing scripting solutions: parallel execution of commands, event programming, command tagging, dynamic variables,... Currently, URBI is used as well by academic research labs, the industry and by hobbyists.
Vworld is a simulated environment for research with autonomous agents written in prolog. It is currently in something of an beta stage. It works well with SWI-prolog, but should work with Quitnus-prolog with only a few changes. It is being designed to serve as an educational tool for class projects dealing with prolog and autonomous agents. It comes with three demo worlds or environments, along with sample agents for them. There are two versions now. One written for SWI-prolog and one written for LPA-prolog. Documentation is roughly done (with a student/professor framework in mind).
FRP system with robotics library and graphical interactive robotics simulator.
Functional reactive programming, or FRP, is a paradigm for programming hybrid systems - i.e., systems containing a combination of both continuous and discrete components - in a high-level, declarative way. The key ideas in FRP are its notions of continuous, time-varying values, and time-ordered sequences of discrete events. Yampa is an instantiation of FRP as a domain-specific language embedded in Haskell.
YARP is plumbing for robot software. It is a set of libraries, protocols, and tools to keep modules and devices cleanly decoupled. It is reluctant middleware, with no desire or expectation to be in control of your system.
More specifically, YARP supports building a robot control system as a collection of programs communicating in a peer-to-peer way, with a family of connection types that meet the diverse, sometimes contradictory, and always changing needs of advanced robotics. We also encourage compilation and use of hardware devices in a future-proof way. Our strategic goal is to increase the longevity of robot software projects.