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ATAL
2010
Springer
13 years 5 months ago
Learning multirobot joint action plans from simultaneous task execution demonstrations
The central problem of designing intelligent robot systems which learn by demonstrations of desired behaviour has been largely studied within the field of robotics. Numerous archi...
Murilo Fernandes Martins, Yiannis Demiris
ECAI
2000
Springer
13 years 9 months ago
Achieving Coordination through Combining Joint Planning and Joint Learning
There are two major approaches to activity coordination in multiagent systems. First, by endowing the agents with the capability to jointly plan, that is, to jointly generate hypot...
Gerhard Weiss
IROS
2009
IEEE
203views Robotics» more  IROS 2009»
13 years 11 months ago
CoMutaR: A framework for multi-robot coordination and task allocation
— In multi-robot systems, task allocation and coordination are two fundamental problems that share high synergy. Although multi-robot architectures typically separate them into d...
Pedro M. Shiroma, Maria Fernando Montenegro Campos
ACL
2012
11 years 7 months ago
Learning High-Level Planning from Text
Comprehending action preconditions and effects is an essential step in modeling the dynamics of the world. In this paper, we express the semantics of precondition relations extrac...
S. R. K. Branavan, Nate Kushman, Tao Lei, Regina B...
RAS
2006
111views more  RAS 2006»
13 years 4 months ago
Planning under uncertainty using model predictive control for information gathering
This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...