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» Learning Behaviors Models for Robot Execution Control
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ICRA
2002
IEEE
136views Robotics» more  ICRA 2002»
14 years 1 months ago
Motion Dynamics of a Rover with Slip-Based Traction Model
This paper investigates kinetic behavior of a planetary rover with attention to tire-soil traction mechanics and articulated body dynamics, and thereby study the control when the ...
Kazuya Yoshida, Hiroshida Hamano
CIIA
2009
13 years 9 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
14 years 2 months ago
Robust Adaptive Control of Automatic Guidance of Farm Vehicles in the Presence of Sliding
— High-precision autofarming is rapidly becoming a reality with the requirements of agricultural applications. Lots of research works have been focused on the automatic guidance ...
Hao Fang, Roland Lenain, Benoit Thuilot, Philippe ...
AAMAS
2005
Springer
13 years 8 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
CORR
2011
Springer
219views Education» more  CORR 2011»
13 years 3 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla