The Cognitive Robotics Laboratory (CRL) conducts research on humanoid robots, service robots, multi-robot teams, and human-robot symbiosis.
Mission: to build robots that learn.
Tools: recurrent networks, Bayesian methods, reinforcement learning, evolution, optimal search, others.
"The Cognitive Robotics group is concerned with endowing robotic or software agents with higher level cognitive functions that involve reasoning, for example, about goals, perception, actions, the mental states of other agents, collaborative task execution, etc. To do this, it is necessary to describe, in a language suitable for automated reasoning, enough of the properties of the robot, its abilities, and its environment, to permit it to make high-level decisions about how to act. The group has developed effective methods for representing and reasoning about the prerequisites and effects of actions, perception and other knowledge-producing actions, and natural events and actions by other agents."
- Open source code designed by the University of Toronto for higher level cognition can be found here.
"Cognitive Robotics is a project of Professor Lynn Andrea Stein's AP group at the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology."
"The aim of the Cognitive Robotics project has been to design and build software for controlling real (as opposed to merely simulated) robots which (i) are based on the Event Calculus, a well understood and mathematically rigorous formalism for reasoning about action, change, and space (as described in Murray Shanahan's book "Solving the Frame Problem: A Mathematical Investigation of the Common Sense Law of Inertia"), but which (ii) take account of the lessons learned in twenty five years of Robotics practice, in particular the advantages of tight coupling between sensors and actuators, as realised in the behaviour-based architectures of Brooks.
Comments (0)
You don't have permission to comment on this page.