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AI50
2006
13 years 11 months ago
A Hierarchical Concept Oriented Representation for Spatial Cognition in Mobile Robots
Robots are rapidly evolving from factory work-horses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to understand, interpret a...
Shrihari Vasudevan, Stefan Gächter, Ahad Hara...
ICARCV
2002
IEEE
126views Robotics» more  ICARCV 2002»
14 years 22 days ago
Gesture recognition using a probabilistic framework for pose matching
This paper presents an approach for view-based recognition of gestures. The approach is based on representing each gesture as a sequence of learned body poses. The gestures are re...
Ahmed M. Elgammal, Vhay Shet, Yaser Yacoob, Larry ...
AROBOTS
2004
99views more  AROBOTS 2004»
13 years 7 months ago
Bayesian Robot Programming
We propose a new method to program robots based on Bayesian inference and learning. It is called BRP for Bayesian Robot Programming. The capacities of this programming method are d...
Olivier Lebeltel, Pierre Bessière, Julien D...
ICRA
2010
IEEE
225views Robotics» more  ICRA 2010»
13 years 5 months ago
3D reconstruction of fish schooling kinematics from underwater video
This paper describes a probabilistic framework to estimate the shape and position of multiple fish in a school. We model the fish shape as an ellipsoid with a curvature coefficient...
Sachit Butail, Derek A. Paley
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
14 years 1 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao