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» Reaching a Goal with Directional Uncertainty
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ICRA
2010
IEEE
97views Robotics» more  ICRA 2010»
13 years 7 months ago
Probabilistic motion planning of balloons in strong, uncertain wind fields
—This paper introduces a new algorithm for probabilistic motion planning in arbitrary, uncertain vector fields, with emphasis on high-level planning for Montgolfier´e balloons...
Michael T. Wolf, Lars Blackmore, Yoshiaki Kuwata, ...
ICRA
2006
IEEE
190views Robotics» more  ICRA 2006»
14 years 2 months ago
An Integrated Approach to Inverse Kinematics and Path Planning for Redundant Manipulators
— We propose a novel solution to the problem of inverse kinematics for redundant robotic manipulators for the purposes of goal selection for path planning. We unify the calculati...
Dominik Bertram, James Kuffner, Rüdiger Dillm...
ICML
1989
IEEE
14 years 18 days ago
Uncertainty Based Selection of Learning Experiences
The training experiences needed by a learning system may be selected by either an external agent or the system itself. We show that knowledge of the current state of the learner&#...
Paul D. Scott, Shaul Markovitch
CORR
2008
Springer
96views Education» more  CORR 2008»
13 years 8 months ago
Improved Approximations for Multiprocessor Scheduling Under Uncertainty
This paper presents improved approximation algorithms for the problem of multiprocessor scheduling under uncertainty (SUU), in which the execution of each job may fail probabilist...
Christopher Y. Crutchfield, Zoran Dzunic, Jeremy T...
ECAI
2010
Springer
13 years 9 months ago
Open-ended Grounded Semantics
Artificial agents trying to achieve communicative goals in situated interactions in the real-world need powerful computational systems for conceptualizing their environment. In ord...
Michael Spranger, Martin Loetzsch, Simon Pauw