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» Learning Behaviors Models for Robot Execution Control
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IROS
2009
IEEE
145views Robotics» more  IROS 2009»
15 years 8 months ago
Modeling and control of multi-contact centers of pressure and internal forces in humanoid robots
Abstract— This paper presents a methodology for the modeling and control of internal forces and moments produced during multi-contact interactions between humanoid robots and the...
Luis Sentis, Jaeheung Park, Oussama Khatib
ICCBR
2009
Springer
15 years 8 months ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer
IROS
2008
IEEE
156views Robotics» more  IROS 2008»
15 years 8 months ago
Bayesian state estimation and behavior selection for autonomous robotic exploration in dynamic environments
— In order to be truly autonomous, robots that operate in natural, populated environments must have the ability to create a model of these unpredictable dynamic environments and ...
Georgios Lidoris, Dirk Wollherr, Martin Buss
RAS
2006
170views more  RAS 2006»
15 years 1 months ago
Hierarchical attentive multiple models for execution and recognition of actions
According to the motor theories of perception, the motor systems of an observer are actively involved in the perception of actions when these are performed by a demonstrator. In t...
Yiannis Demiris, Bassam Khadhouri
AAAI
2000
15 years 3 months ago
cc-Golog: Towards More Realistic Logic-Based Robot Controllers
High-level robot controllers in realistic domains typically deal with processes which operate concurrently, change the world continuously, and where the execution of actions is ev...
Henrik Grosskreutz, Gerhard Lakemeyer