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DSS
2008
146views more  DSS 2008»
14 years 9 months ago
Design choices for agent-based control of AGVs in the dough making process
In this paper we consider a multi-agent system (MAS) for the logistics control of Automatic Guided Vehicles (AGVs) that are used in the dough making process at an industrial baker...
Martijn Mes, Matthieu van der Heijden, Jos van Hil...
IJRR
2011
126views more  IJRR 2011»
14 years 4 months ago
Optimization and learning for rough terrain legged locomotion
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
Matthew Zucker, Nathan D. Ratliff, Martin Stolle, ...
SIGMETRICS
1998
ACM
170views Hardware» more  SIGMETRICS 1998»
14 years 9 months ago
Better operating system features for faster network servers
Widely-used operating systems provide inadequate support for large-scale Internet server applications. Their algorithms and interfaces fail to e ciently support either event-drive...
Gaurav Banga, Peter Druschel, Jeffrey C. Mogul
IROS
2007
IEEE
135views Robotics» more  IROS 2007»
15 years 3 months ago
Self-organization of environmentally-adaptive shapes on a modular robot
— Modular robots have the potential to achieve a wide range of applications by reconfiguring their shapes to perform different functions. This requires robust and scalable contr...
Chih-Han Yu, François-Xavier Willems, Donal...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
14 years 8 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal