Robot learning
From Wikipedia, the free encyclopedia
Robot learning is a subset of machine learning and robotics. Usually "robot learning" refers to learning to perform tasks such as obstacle avoidance, control and various other motion-related tasks. While machine learning is frequently used by computer vision algorithms employed in the context of robotics, these applications are usually not referred to as "robot learning" Robot learning can be closely related to adaptive control and reinforcement learning.
[edit] See also
[edit] External links
- robot-learning.de
- Robot Learning at the Computational Learning and Motor Control lab
- Humanoid Robot Learning at the Advanced Telecommunication Research Center (ATR)
- Robot Learning at the Cognitive Robotics Lab of Juergen Schmidhuber at IDSIA and Technical University of Munich
- Institute of Robotics in Scandinavia AB (iRobis)
- The Humanoid Project: Peter Nordin, Chalmers University of Technology
- Robot Learning Lab at Carnegie Mellon University.
- Research page of Maja J Mataric (a robot learning researcher).
- Skilligent Robot Learning and Behavior Coordination System (commercial product)
- A list of robot learning web sites.
