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» Bio-inspired Model of Robot Adaptive Learning and Mapping
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ICRA
2006
IEEE
144views Robotics» more  ICRA 2006»
13 years 11 months ago
Adapting Probabilistic Roadmaps to Handle Uncertain Maps
Abstract— Randomized motion planning techniques are responsible for many of the recent successes in robot control. However, most motion planning algorithms assume perfect and com...
Patrycja E. Missiuro, Nicholas Roy
TSMC
2008
148views more  TSMC 2008»
13 years 3 months ago
Compact Modeling Technique for Outdoor Navigation
In this paper, a new methodology to build compact local maps in real time for outdoor robot navigation is presented. The environment information is obtained from a 3-D scanner lase...
Cristina Castejón, Dolores Blanco, Luis Mor...
ISCAS
2006
IEEE
103views Hardware» more  ISCAS 2006»
13 years 11 months ago
Towards autonomous adaptive behavior in a bio-inspired CNN-controlled robot
— This paper describes a general approach for the unsupervised learning of behaviors in a behavior-based robot. The key idea is to formalize a behavior produced by a Motor Map dr...
Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Pa...
ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
13 years 3 months ago
Towards One Shot Learning by imitation for humanoid robots
— Teaching a robot to learn new knowledge is a repetitive and tedious process. In order to accelerate the process, we propose a novel template-based approach for robot arm moveme...
Yan Wu, Yiannis Demiris
AAAI
2012
11 years 7 months ago
Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
Jörg Stückler, Sven Behnke