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» Active Learning for Robot Manipulation
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IROS
2008
IEEE
146views Robotics» more  IROS 2008»
13 years 11 months ago
Optimal distributed planning for self assembly of modular manipulators
— We describe algorithms to build self-assembling robot systems composed of active modular robots and passive bars. The distributed algorithms are based on locally optimal matchi...
Seung-kook Yun, Daniela Rus
AR
2007
204views more  AR 2007»
13 years 5 months ago
Action recognition and understanding through motor primitives
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
Isabel Serrano Vicente, Ville Kyrki, Danica Kragic...
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...
ICRA
1995
IEEE
151views Robotics» more  ICRA 1995»
13 years 9 months ago
Learning Impedance Control for Robotic Manipulators
—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...
Chien-Chern Cheah, Danwei Wang
ROMAN
2007
IEEE
134views Robotics» more  ROMAN 2007»
13 years 11 months ago
Human-Robot Interaction for Cooperative Manipulation: Handing Objects to One Another
— For manipulation tasks, the transfer of objects between humans and robots is a fundamental way to coordinate activity and cooperatively perform useful work. Within this paper w...
Aaron Edsinger, Charles C. Kemp