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AR
2007
138views more  AR 2007»
13 years 10 months ago
Integrating robotics and neuroscience: brains for robots, bodies for brains
—Researchers in robotics and artificial intelligence have often looked at biology as a source of inspiration for solving their problems. From the opposite perspective, neuroscie...
Michele Rucci, Daniel Bullock, Fabrizio Santini
CORR
2011
Springer
136views Education» more  CORR 2011»
13 years 1 months ago
Reinforcement Learning for Agents with Many Sensors and Actuators Acting in Categorizable Environments
In this paper, we confront the problem of applying reinforcement learning to agents that perceive the environment through many sensors and that can perform parallel actions using ...
Enric Celaya, Josep M. Porta
CRV
2007
IEEE
116views Robotics» more  CRV 2007»
14 years 4 months ago
A non-myopic approach to visual search
We show how a greedy approach to visual search — i.e., directly moving to the most likely location of the target — can be suboptimal, if the target object is hard to detect. I...
Julia Vogel, Kevin Murphy
ATAL
2006
Springer
14 years 1 months ago
Multi-model motion tracking under multiple team member actuators
Autonomous robots need to track objects. Object tracking relies on predefined robot motion and sensory models. Tracking is particularly challenging if the robots can actuate on th...
Yang Gu, Manuela M. Veloso
AIPS
2006
13 years 11 months ago
A New Principle for Incremental Heuristic Search: Theoretical Results
Planning is often not a one-shot task because either the world or the agent's knowledge of the world changes. In this paper, we introduce a new principle that can be used to ...
Sven Koenig, Maxim Likhachev