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» Dynamic Path Planning for a 7-DOF Robot Arm
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78
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NIPS
1993
14 years 11 months ago
The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
Andrew W. Moore
JIRS
2010
104views more  JIRS 2010»
14 years 8 months ago
On the Generation of Trajectories for Multiple UAVs in Environments with Obstacles
Abstract This paper presents a methodology based on a variation of the Rapidlyexploring Random Trees (RRTs) that generates feasible trajectories for a team of autonomous aerial veh...
Armando Alves Neto, Douglas Guimarães Macha...
74
Voted
ICRA
1999
IEEE
142views Robotics» more  ICRA 1999»
15 years 1 months ago
Development of BEST Nano-robot Soccer Team
In this paper, we describe the development of our BEST nano-robot soccer team composed of 5 robots, a vision system, and communication modules. Each nano-robot is designed with an...
Sung Ho Kim, JongSuk Choi, Byung Kook Kim
IJRR
2007
181views more  IJRR 2007»
14 years 9 months ago
Optimal Rough Terrain Trajectory Generation for Wheeled Mobile Robots
An algorithm is presented for wheeled mobile robot trajectory generation that achieves a high degree of generality and efficiency. The generality derives from numerical lineariza...
Thomas M. Howard, Alonzo Kelly
RSS
2007
136views Robotics» more  RSS 2007»
14 years 11 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...