Learning Visual Affordances of Objects and Tools through Autonomous Robot Exploration Afonso Gonçalves1 , Giovanni Saponaro1 , Lorenzo Jamone1 , Alexandre Bernardino1 Abstract— Endowing artificial agents with the abil

Source URL: www.poeticon.eu

Reinforcement Learning by Reward-weighted Regression for Operational Space Control Jan Peters Max-Planck Institute for Biological Cybernetics, 72074 Tuebingen, Germany

Source URL: www-clmc.usc.edu

• Estimation theory
• Reinforcement learning
• Expectation–maximization algorithm
• Linear regression
• Humanoid robot
• Supervised learning
• Stability
• Q-learning
• Statistics
• Machine learning
• Learning

BIO Web of Conferences 1, DOI: bioconf © Owned by the authors, published by EDP Sciences, 2011 Challenges in adapting imitation and reinforcement learning to compliant robots

Source URL: www.bio-conferences.org

• Robot
• Hidden Markov model
• Science
• Technology
• Artificial intelligence
• Humanoid robot
• Human–robot interaction
• Robotics

Learning Anticipation Policies for Robot Table Tennis Zhikun Wang1,2 , Christoph H. Lampert3 , Katharina Mülling1,2 , Bernhard Schölkopf1 , Jan Peters1,2 Abstract— Playing table tennis is a difficult task for robots,

Source URL: www.is.tuebingen.mpg.de

• Computing
• Software engineering
• Dynamic programming
• Reinforcement learning
• Table tennis
• Markov chain
• Robotics
• Robot
• Markov decision process
• Statistics
• Markov processes
• Markov models

Using Torque Redundancy for an Optimal Distribution of Contact forces: An Application to Legged Locomotion Ludovic Righetti and Stefan Schaal Computational Learning and Motor Control Lab, University of Southern Californi

Source URL: people.ucsc.edu

• Torque
• Inverse dynamics
• Control theory
• Science
• Physics
• Robot control
• Legged robot

Learning Accurate Kinematic Control of Cable-Driven Surgical Robots Using Data Cleaning and Gaussian Process Regression Jeffrey Mahler1 , Sanjay Krishnan1 , Michael Laskey1 , Siddarth Sen1 , Adithyavairavan Murali1 , Ben

Source URL: goldberg.berkeley.edu

• Data analysis
• Machine learning
• Robot control
• Linear regression
• Kinematics
• Errors and residuals in statistics
• Regularization
• Robotics
• Robot
• Statistics
• Regression analysis
• Econometrics

Assistive Teleoperation: A New Domain for Interactive Learning – Extended Abstract – Anca D. Dragan and Siddhartha S. Srinivasa The Robotics Institute Carnegie Mellon University

Source URL: www.ri.cmu.edu

• Cybernetics
• Robotic sensing
• Virtual fixture
• Robot
• Telerobotics
• Motion planning
• Adaptive collaborative control
• Robotics
• Robot control
• Control theory

Legibility and Predictability of Robot Motion Anca D. Dragan Kenton C.T. Lee Siddhartha S. Srinivasa

Source URL: www.ri.cmu.edu

• Motion
• Trajectory
• Predictability
• Applied mathematics
• Reinforcement learning
• Motion planning
• Human–robot interaction
• Ballistics
• Physics
• Range of a projectile

ELENCO - Electronic Snap Circuits Ages 8 & up Traditional Snap Circuits Sets Elenco’s Snap Circuits make learning electronics a

Source URL: www.acsupplyco.com

• Boe-Bot
• Robot
• Integrated circuit
• Electronics
• Message Session Relay Protocol
• Capacitor
• Power supply
• Battery
• Mobile robot
• Robot kits
• Robotics
• Technology

Jean-Baptiste Mouret, CR1 Inria Current position Inria research scientist (CR1) Date of birth May 20th, 1981 Website http://pages.isir.upmc.fr/~mouret/ E-mail Keywords robot learning, evolut

Source URL: chronos.isir.upmc.fr

• Robotics
• Science
• IEEE Congress on Evolutionary Computation
• Computational intelligence
• Evolutionary algorithm
• Applied mathematics
• Josh Bongard
• Evolutionary computation
• Artificial intelligence
• Evolutionary robotics