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» Robotic Grasping of Novel Objects using Vision
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KBS
2006
105views more  KBS 2006»
13 years 8 months ago
Robot docking based on omnidirectional vision and reinforcement learning
We present a system for visual robotic docking using an omnidirectional camera coupled with the actor critic reinforcement learning algorithm. The system enables a PeopleBot robot...
David Muse, Cornelius Weber, Stefan Wermter
ECCV
1994
Springer
14 years 10 months ago
Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images
In previous applications, bilateral symmetry of objects was used either as a descriptive feature in domains such as recognition and grasping, or as a way to reduce the complexity o...
Hagit Zabrodsky, Daphna Weinshall
ICRA
2009
IEEE
161views Robotics» more  ICRA 2009»
14 years 3 months ago
Learning and generalization of motor skills by learning from demonstration
— We provide a general approach for learning robotic motor skills from human demonstration. To represent an observed movement, a non-linear differential equation is learned such ...
Peter Pastor, Heiko Hoffmann, Tamim Asfour, Stefan...
IROS
2007
IEEE
175views Robotics» more  IROS 2007»
14 years 3 months ago
Adaptive long range vision in unstructured terrain
— A novel probabilistic online learning framework for autonomous off-road robot navigation is proposed. The system is purely vision-based and is particularly designed for predict...
Ayse Erkan, Raia Hadsell, Pierre Sermanet, Jan Ben...
AAAI
2006
13 years 10 months ago
A Multi Agent Approach to Vision Based Robot Scavenging
This paper proposes a design for our entry into the 2006 AAAI Scavenger Hunt Competition and Robot Exhibition. We will be entering a scalable two agent system consisting of off-th...
Kamil Wnuk, Brian Fulkerson, Jeremi Sudol