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» Sampling-Based Motion Planning Using Predictive Models
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ICRA
1995
IEEE
156views Robotics» more  ICRA 1995»
14 years 1 months ago
Assembly maintainability Study with Motion Planning
Maintainability is an important issue in design where the accessibility of certain parts is determined for routine maintenance. In the past its study has been largely manual and l...
Hsuan Chang, Tsai-Yen Li
TIP
2010
123views more  TIP 2010»
13 years 8 months ago
Optimizing Motion Compensated Prediction for Error Resilient Video Coding
—This paper is concerned with optimization of the motion compensated prediction framework to improve the error resilience of video coding for transmission over lossy networks. Fi...
Hua Yang, Kenneth Rose
IJRR
2011
218views more  IJRR 2011»
13 years 5 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...
ICRA
2007
IEEE
138views Robotics» more  ICRA 2007»
14 years 4 months ago
Where's Waldo? Sensor-Based Temporal Logic Motion Planning
— Given a robot model and a class of admissible environments, this paper provides a framework for automatically and verifiably composing controllers that satisfy high level task...
Hadas Kress-Gazit, Georgios E. Fainekos, George J....
NIPS
1993
13 years 11 months ago
Robust Reinforcement Learning in Motion Planning
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...