Learning to Select and Generalize Striking Movements in Robot Table Tennis Katharina M¨ ulling1,2 , Jens Kober1,2 , Oliver Kroemer2 , Jan Peters1,2 email: {muelling,kober,jan.peters}@tuebingen.mpg.de oli@robot-learning.

Source URL: www.ias.informatik.tu-darmstadt.de

Learning Sequential Motor Tasks Christian Daniel1 , Gerhard Neumann1 , Oliver Kroemer1 and Jan Peters1,2 Abstract—Many real robot applications require the sequential use of multiple distinct motor primitives. This requ

Source URL: www.ias.informatik.tu-darmstadt.de

Learning Robot Tactile Sensing for Object Manipulation Lernen taktiler Robotersensorik für Objektmanipulation Master-Thesis von Yevgen Chebotar Februar 2014

Source URL: www.ias.tu-darmstadt.de

IEEE TRANSACTIONS ON NEURAL NETWORKS 1 Online Kernel-based Learning for Task-Space Tracking Robot Control

Source URL: www.ias.informatik.tu-darmstadt.de

Incremental Online Sparsification for Model Learning in Real-time Robot Control Duy Nguyen-Tuong and Jan Peters Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076 T¨ ubingen

Source URL: www.ias.tu-darmstadt.de

A Robot Exploration Strategy Based on Q-learning Network Tai Lei Liu Ming

Source URL: ram-lab.com

Action Selection via Learning Behavior Patterns in Multi-Robot Systems Can Erdogan and Manuela Veloso Carnegie Mellon University Pittsburgh, PA

Source URL: canerdogan.wdfiles.com

Progressive Nets for Simulation to Robot Transfer Raia Hadsell Skepticism Let’s acknowledge a few difficulties with deep learning and robotics:

Source URL: juxi.net

Online Development of Assistive Robot Behaviors for Collaborative Manipulation and Human-Robot Teamwork Bradley Hayes and Brian Scassellati Yale University Computer Science Department New Haven, CT 06511

Source URL: bradhayes.info

• Artificial intelligence
• Robotics
• Dynamic programming
• Markov processes
• Stochastic control
• Machine learning
• Probability theory
• Probability
• Partially observable Markov decision process
• Humanoid robot
• Reinforcement learning
• Humanrobot interaction

International Journal of Computer Vision The original publication is available at www.springerlink.com. Learning Articulated Structure and Motion David A. Ross · Daniel Tarlow · Richard S. Zemel

Source URL: www.cs.toronto.edu

• Computer vision
• Artificial intelligence
• Physics
• Dynamical systems
• Mechanics
• 3D computer graphics
• Robot control
• Computer animation
• Structure from motion
• Kinematics
• Bundle adjustment
• Kalman filter