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ADHOCNETS
2010
Springer
13 years 6 months ago
Balanced Itinerary Planning for Multiple Mobile Agents in Wireless Sensor Networks
In this paper, we consider the use of multiple mobile software agents to perform different tasks in wireless sensor networks (WSNs). To this regard, determining the number of mobil...
Min Chen, Wei Cai, Sergio González-Valenzue...
ASPDAC
2006
ACM
134views Hardware» more  ASPDAC 2006»
14 years 2 months ago
Constraint driven I/O planning and placement for chip-package co-design
System-on-chip and system-in-package result in increased number of I/O cells and complicated constraints for both chip designs and package designs. This renders the traditional ma...
Jinjun Xiong, Yiu-Chung Wong, Egino Sarto, Lei He
ICRA
2005
IEEE
128views Robotics» more  ICRA 2005»
14 years 1 months ago
Hoplites: A Market-Based Framework for Planned Tight Coordination in Multirobot Teams
— In this paper we address tasks for multirobot teams that require solving a distributed multi-agent planning problem in which the actions of robots are tightly coupled. The unce...
Nidhi Kalra, Dave Ferguson, Anthony Stentz
NIPS
1993
13 years 9 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...
IJRR
2010
162views more  IJRR 2010»
13 years 6 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...