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IJRR
2011
130views more  IJRR 2011»
12 years 12 months ago
LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information
— This paper presents LQG-MP (linear-quadratic Gaussian motion planning), a new approach to robot motion planning that takes into account the sensors and the controller that will...
Jur van den Berg, Pieter Abbeel, Ken Goldberg
AIPS
1998
13 years 10 months ago
Solving Stochastic Planning Problems with Large State and Action Spaces
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
Thomas Dean, Robert Givan, Kee-Eung Kim
TROB
2002
212views more  TROB 2002»
13 years 8 months ago
Path planning for robust image-based control
Abstract-- Vision feedback control loop techniques are efficient for a large class of applications but they come up against difficulties when the initial and desired robot position...
Youcef Mezouar, François Chaumette
ALIFE
2005
13 years 8 months ago
New Robotics: Design Principles for Intelligent Systems
New Robotics designates an approach to robotics that, in contrast to traditional robotics, employs ideas and principles from biology. While in the traditional approach there are g...
Rolf Pfeifer, Fumiya Iida, Josh C. Bongard
ICRA
2003
IEEE
124views Robotics» more  ICRA 2003»
14 years 1 months ago
Self-assembly in space via self-reconfigurable robots
― Self-assembly systems in space are arguably within the reach of today’s technology based on the research and development of self-reconfigurable robots on earth. This paper pr...
Wei-Min Shen, Peter M. Will, Berok Khoshnevis