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» Acquiring change models for sensor-based robot manipulation
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AR
2002
157views more  AR 2002»
13 years 5 months ago
Acquiring state from control dynamics to learn grasping policies for robot hands
Abstract--A prominent emerging theory of sensorimotor development in biological systems proposes that control knowledge is encoded in the dynamics of physical interaction with the ...
Roderic A. Grupen, Jefferson A. Coelho Jr.
ICRA
2009
IEEE
161views Robotics» more  ICRA 2009»
13 years 3 months ago
Control for throwing manipulation by one joint robot
This paper proposes a throwing manipulation strategy for a robot with one revolute joint. The throwing manipulation enables the robot not only to manipulate the object to outside o...
Hideyuki Miyashita, Tasuku Yamawaki, Masahito Yash...
AAAI
2007
13 years 7 months ago
Dominance and Equivalence for Sensor-Based Agents
This paper describes recent results from the robotics community that develop a theory, similar in spirit to the theory of computation, for analyzing sensor-based agent systems. Th...
Jason M. O'Kane, Steven M. LaValle
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
13 years 11 months ago
A Grasp Planning for Picking up an Unknown Object for a Mobile Manipulator
— This paper describes a grasp planning for a mobile manipulator which works in real environment. Mobile robot studies up to now that manipulate an object in real world practical...
Kimitoshi Yamazaki, Masahiro Tomono, Takashi Tsubo...
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
13 years 3 months ago
Dynamic 3D scene analysis for acquiring articulated scene models
— In this paper we present a new system for a mobile robot to generate an articulated scene model by analyzing complex dynamic 3D scenes. The system extracts essential knowledge ...
Agnes Swadzba, Niklas Beuter, Sven Wachsmuth, Fran...