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» Physical simulation for probabilistic motion tracking
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ICRA
2002
IEEE
187views Robotics» more  ICRA 2002»
13 years 10 months ago
Trajectory Planning using Reachable-State Density Functions
:This paper presents a trajectory planning algorithm for mobile robots which may be subject to kinodynamic constraints. Using computational methods from noncommutative harmonic ana...
Richard Mason, Joel W. Burdick
CVPR
2007
IEEE
14 years 7 months ago
Generative Graphical Models for Maneuvering Object Tracking and Dynamics Analysis
We study the challenging problem of maneuvering object tracking with unknown dynamics, i.e., forces or torque. We investigate the underlying causes of object kinematics, and propo...
Xin Fan, Guoliang Fan
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
13 years 10 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
AAAI
2006
13 years 7 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...
SIGGRAPH
2010
ACM
13 years 10 months ago
Optimal feedback control for character animation using an abstract model
Feedback Control for Character Animation Using an Abstract Model Yuting Ye C. Karen Liu Georgia Institute of Technology∗ Real-time adaptation of a motion capture sequence to vir...
Yuting Ye, C. Karen Liu