Robotics
Dublin - Electronic Engineering - Autonomous Systems Group - FTP
Artificial systems exhibiting autonomous behaviour and organisation comparable to that of biological organisms. Projects with real (LEGO) robots, within the evolutionary robotics paradigm, and cellular automata-based studies of simple biological organisation.Glasgow - Engineering - Centre for Systems and Control - Technical Reports
Publications on neural networks, genetic algorithms, simulated annealing, nonlinear control systems, fuzzy logic control, robot control, and related topics.Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Lugano
AI tools, robotics (execution, planning and learning of sensor-based activities), knowledge discovery, artificial life, linguistics and second language learning, reinforcement learning, evolutionary computation, neural networks and other areas.Japan - Robotics in Japan
Institutes, groups, and people concerned with robotics and related topics (including artificial life, neural networks, vision and cognition) in Japan. Maintained by Uwe Zimmer at GMD.Leibniz Laboratory - Systèmes Cognitifs / Cognitive Systems
Cognitive systems - investigation, modelling and implementation of cognitive abilities such as knowledge representation, reasoning, perception, action, learning and language - and interdisciplinary neural networks, probabilistic models and genetic algorithms in robotics and AI, multi-agent systems and other areas.London-University College (UCL) - Neural Computation and Robotics Group
Modelling neuronal function, multi-unit recording, robotics and virtual reality.Lund - Cognitive Science (LUCS)
Evolutionary processes, conceptual spaces, robots with autonomous spatial learning, conceptual engineering and focus movements, vision and discourse, neural vision, categorization and recognition of biological motion, natural intelligence in artificial creatures, category learning and other topics. Peter Gardenfors, Christian Balkenius and others.New South Wales - Artificial Intelligence
Cognitive science, control applications, knowledge acquisition, machine learning, multi-agent problem solving, natural language understanding, neural networks, qualitative methods, robotics, vision and pattern recognition.Southern California (USC) - Robotics Research Laboratory
Autonomous robotics, biological and artificial neural systems, reinforcement learning, genetic algorithms, robotic and prosthetic hands, design for assembly, and fuzzy control. Affiliated with the Center for Neural Engineering, directed by Michael Arbib.The Cog Shop (MIT)
The Cog Shop builds, maintains, and experiments with Cog, a "prototypical humanoid robot." Cog will be superseded by other humanoid robots as lessons are learned from Cog. See also Waseda University's Humanoid Project.Vanderbilt University Intelligent Robotics Lab
Dr. Alan Peters and other faculty and students are constructing (as of late 1997) a dual-arm humanoid (designed expressly to interact closely with people) to be an intelligent assistant. The robot also includes a mobile platform capable of autonomous navigation that has a single arm. The mobile and stationary platforms are designed to interact. The humanoid, Isac, plays the Theremin (a dedicated game-playing robot), and can draw. The arms on the robots are actuated by McKibben articial muscles, they act like human arms.Waseda University Humanoid Robot
Project established in 1992 to develop an anthropomorphic robot named "Humanoid" which will comprise sensing, recognition, expression and motion sub-systems to enable robots and humans to build common mental and physical spaces cooperatively. See also The Cog Shop for MIT's project of a similar nature.Wisconsin - Artificial Intelligence
Jude Shavlick. Neural/symbolic hybrids. Also computer vision, robotics, machine learning, neural networks, deductive problem solving and expert systems. Research papers by FTP.Zurich (UNIZH) - Artificial Intelligence Laboratory
Intelligence in natural and artificial systems, specialising in situated design and autonomous agent design. Neural network-based, biologically inspired robots. Rolf Pfeifer.