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» Learning to Control in Operational Space
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HIS
2004
15 years 29 days ago
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
15 years 5 months ago
A Whole-body Control Framework for Humanoids Operating in Human Environments
Abstract— Tomorrow’s humanoids will operate in human environments, where efficient manipulation and locomotion skills, and safe contact interactions will be critical design fa...
Luis Sentis, Oussama Khatib
89
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ISCI
2002
112views more  ISCI 2002»
14 years 11 months ago
Intelligent learning and control of autonomous robotic agents operating in unstructured environments
The control of autonomous intelligent robotic agent operating in unstructured changing environments includes many objective difficulties. One major difficulty concerns the charact...
Hani Hagras, Tarek M. Sobh
FLAIRS
2001
15 years 29 days ago
Current Level of Mission Control Automation at NASA Goddard Space Flight Center
NASAis particularly concerned with reducing mission operations costs through increased automation. Specifically, NASAhas been studying the use of Artificial Intelligence (AI) to f...
Lori Maks, Julie Breed, Michael Rackley
ISER
2000
Springer
107views Robotics» more  ISER 2000»
15 years 3 months ago
Singularity Handling on Puma in Operational Space Formulation
: A solution to the singularity problem is presented from the approach of the operational space formulation which involves both motion and force control. A brief summary of the Ope...
Denny Oetomo, Marcelo H. Ang, Ser Yong Lim