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» Path Planning Through Variational Dynamic Programming
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JAIR
2008
98views more  JAIR 2008»
14 years 9 months ago
Loosely Coupled Formulations for Automated Planning: An Integer Programming Perspective
We represent planning as a set of loosely coupled network flow problems, where each network corresponds to one of the state variables in the planning domain. The network nodes cor...
Menkes Hector Louis van den Briel, Thomas Vossen, ...
IROS
2007
IEEE
158views Robotics» more  IROS 2007»
15 years 3 months ago
Factor-guided motion planning for a robot arm
— Motion planning for robotic arms is important for real, physical world applications. The planning for arms with high-degree-of-freedom (DOF) is hard because its search space is...
Jaesik Choi, Eyal Amir
RTCSA
2009
IEEE
15 years 4 months ago
Multi-path Planning for Mobile Element to Prolong the Lifetime of Wireless Sensor Networks
Mobile elements, which can traverse the deployment area and convey the observed data from static sensor nodes to a base station, have been introduced for energy efficient data co...
Dakai Zhu, Yifeng Guo, Ali Saman Tosun
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
15 years 4 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou
RSS
2007
136views Robotics» more  RSS 2007»
14 years 11 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...