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SSIAI
2000
IEEE
13 years 12 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
ICRA
2010
IEEE
143views Robotics» more  ICRA 2010»
13 years 5 months ago
On the influence of ship motion prediction accuracy on motion planning and control of robotic manipulators on seaborne platforms
Robotic manipulators on non-inertial platforms, such as ships, have to endure large inertial forces due to the non-inertial motion of the platform. When the non-inertial platform&#...
Pål Johan From, Jan Tommy Gravdahl, Pieter A...
AROBOTS
2008
166views more  AROBOTS 2008»
13 years 6 months ago
User-adapted plan recognition and user-adapted shared control: A Bayesian approach to semi-autonomous wheelchair driving
Abstract Many elderly and physically impaired people experience difficulties when maneuvering a powered wheelchair. In order to provide improved maneuvering, powered wheelchairs ha...
Eric Demeester, Alexander Hüntemann, Dirk Van...
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
13 years 11 months ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
AIPS
2010
13 years 9 months ago
Combined Task and Motion Planning for Mobile Manipulation
We present a hierarchical planning system and its application to robotic manipulation. The novel features of the system are: 1) it finds high-quality kinematic solutions to task-l...
Jason Wolfe, Bhaskara Marthi, Stuart J. Russell