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» Active Learning for Robot Manipulation
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AAAI
2007
13 years 10 months ago
Continuous State POMDPs for Object Manipulation Tasks
My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
Emma Brunskill
TEC
2010
143views more  TEC 2010»
13 years 2 months ago
Active Categorical Perception of Object Shapes in a Simulated Anthropomorphic Robotic Arm
Active perception refers to a theoretical approach to the study of perception grounded on the idea that perceiving is a way of acting, rather than a process whereby the brain const...
Elio Tuci, Gianluca Massera, Stefano Nolfi
ECML
2003
Springer
14 years 27 days ago
Could Active Perception Aid Navigation of Partially Observable Grid Worlds?
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing state...
Paul A. Crook, Gillian Hayes
ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 6 months ago
Kinematic control of nonholonomic mobile manipulators in the presence of steering wheels
— We consider the kinematic control problem for nonholonomic mobile manipulators (NMMs) whose base contains steering wheels. For all typical tasks, the steering velocity inputs o...
Alessandro De Luca, Giuseppe Oriolo, Paolo Robuffo...
AGENTS
2000
Springer
14 years 18 hour ago
Unsupervised clustering of robot activities: a Bayesian approach
Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen