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CGF
1999
98views more  CGF 1999»
13 years 11 months ago
Interactive Mechanical Design Variation for Haptics and CAD
A fast design variation technique for mechanical systems is presented. It is used to interactively optimize mechanical characteristics while "self-assembling" or satisfy...
Donald D. Nelson, Elaine Cohen
AUTOMATICA
2007
145views more  AUTOMATICA 2007»
13 years 11 months ago
Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems
In this paper, the problem of decentralized adaptive output-feedback stabilization is investigated for large-scale stochastic nonlinear systems with three types of uncertainties, ...
Shu-Jun Liu, Ji-Feng Zhang, Zhong-Ping Jiang
NIPS
1994
14 years 24 days ago
Interference in Learning Internal Models of Inverse Dynamics in Humans
Experiments were performed to reveal some of the computational properties of the human motor memory system. We show that as humans practice reaching movements while interacting wi...
Reza Shadmehr, Tom Brashers-Krug, Ferdinando A. Mu...
NIPS
2008
14 years 28 days ago
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
The inverse dynamics problem for a robotic manipulator is to compute the torques needed at the joints to drive it along a given trajectory; it is beneficial to be able to learn th...
Kian Ming Adam Chai, Christopher K. I. Williams, S...
GW
2005
Springer
119views Biometrics» more  GW 2005»
14 years 5 months ago
Dynamic Control of Captured Motions to Verify New Constraints
Simulating realistic human-like figures is still a challenging task when dynamics is involved. For example, making a virtual human jump to a given position requires to control the...
Carole Durocher, Franck Multon, Richard Kulpa
ICRA
2007
IEEE
227views Robotics» more  ICRA 2007»
14 years 5 months ago
Inverse Dynamics Control with Floating Base and Constraints
— In this paper, we address the issues of compliant control of a robot under contact constraints with a goal of using joint space based pattern generators as movement primitives,...
Jun Nakanishi, Michael Mistry, Stefan Schaal