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» Combining planning and motion planning
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ICRA
2003
IEEE
119views Robotics» more  ICRA 2003»
15 years 2 months ago
Incremental low-discrepancy lattice methods for motion planning
We present deterministic sequences for use in sampling-based approaches to motion planning. They simultaneously combine the qualities found in many other sequences: i) the increme...
Stephen R. Lindemann, Steven M. LaValle
IROS
2007
IEEE
113views Robotics» more  IROS 2007»
15 years 3 months ago
Modeling and motion planning for handling furniture by a mobile manipulator
— This paper introduces a planning method for handling furniture which exists in real world. We propose a method which is easily expandable its handle able furniture such as clos...
Kimitoshi Yamazaki, Takashi Tsubouchi, Masahiro To...
IROS
2009
IEEE
224views Robotics» more  IROS 2009»
15 years 4 months ago
Humanoid motion planning for dual-arm manipulation and re-grasping tasks
— In this paper, we present efficient solutions for planning motions of dual-arm manipulation and re-grasping tasks. Motion planning for such tasks on humanoid robots with a hig...
Niko Vahrenkamp, Dmitry Berenson, Tamim Asfour, Ja...
ICRA
2008
IEEE
140views Robotics» more  ICRA 2008»
15 years 4 months ago
Dynamic visibility checking for vision-based motion planning
— An important problem in position-based visual servoing (PBVS) is to guarantee that a target will remain within the field of view for the duration of the task. In this paper, w...
Simon Léonard, Elizabeth A. Croft, James J....
IJRR
2007
171views more  IJRR 2007»
14 years 9 months ago
Creating High-quality Paths for Motion Planning
Many algorithms have been proposed that create a path for a robot in an environment with obstacles. Most methods are aimed at finding a solution. However, for many applications, ...
Roland Geraerts, Mark H. Overmars