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» Efficient Planning of Informative Paths for Multiple Robots
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AGENTS
1998
Springer
13 years 12 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
IROS
2009
IEEE
207views Robotics» more  IROS 2009»
14 years 2 months ago
Estimation of camera motion with feature flow model for 3D environment modeling by using omni-directional camera
Abstract— Map information is important for path planning and self-localization when mobile robots accomplish autonomous tasks. In unknown environments, mobile robots should gener...
Ryosuke Kawanishi, Atsushi Yamashita, Toru Kaneko
RAS
2006
111views more  RAS 2006»
13 years 7 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...
CLEIEJ
2010
13 years 5 months ago
Evaluation of a Fault-tolerant Model for Tactic Operations of Mobile Robotic Groups Using Genetic Algorithms
This paper addresses the evaluation of a fault-tolerant model for tactic operations of mobile robotic groups. The coordinated action of the group is planned with Genetic Algorithm...
Gustavo Pessin, Fernando Santos Osório
ICCV
2011
IEEE
12 years 7 months ago
Multi-hypothesis Motion Planning for Visual Object Tracking
In this paper, we propose a long-term motion model for visual object tracking. In crowded street scenes, persistent occlusions are a frequent challenge for tracking algorithm and ...
Haifeng Gong, Jack Sim, Maxim Likhachev, Jianbo Sh...