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IROS
2006
IEEE
113views Robotics» more  IROS 2006»
15 years 3 months ago
Policy Gradient Methods for Robotics
— The aquisition and improvement of motor skills and control policies for robotics from trial and error is of essential importance if robots should ever leave precisely pre-struc...
Jan Peters, Stefan Schaal
ICML
2009
IEEE
15 years 10 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
ICANN
2011
Springer
14 years 1 months ago
Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model
Mirror neurons are premotor neurons that are considered to play a role in goal-directed actions, action understanding and even social cognition. As one of the promising research ar...
Junpei Zhong, Cornelius Weber, Stefan Wermter
ACHI
2010
IEEE
15 years 4 months ago
A Simulation Framework for Human-Robot Interaction
Abstract—The development of human-robot interaction scenarios is a strongly situation-dependent as well as an extremely dynamic task. Humans interacting with the robot directly r...
Norbert Schmitz, Jochen Hirth, Karsten Berns
ICRA
2003
IEEE
184views Robotics» more  ICRA 2003»
15 years 2 months ago
Trajectory planning for smooth transition of a biped robot
- This paper presents a third-order spline interpolation based trajectory planning method which is aiming to achieve smooth biped swing leg trajectory by reducing the instant veloc...
Zhe Tang, Changjiu Zhou, Zengqi Sun