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ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
13 years 3 months ago
Learning to navigate through crowded environments
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research ...
Peter Henry, Christian Vollmer, Brian Ferris, Diet...
ICRA
2002
IEEE
105views Robotics» more  ICRA 2002»
13 years 9 months ago
Learning Behavioral Parameterization using Spatio-Temporal Case-Based Reasoning
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...
Maxim Likhachev, Michael Kaess, Ronald C. Arkin
TSMC
2010
12 years 11 months ago
Interactive Teaching for Vision-Based Mobile Robots: A Sensory-Motor Approach
Abstract--For the last decade, we have developed a visionbased architecture for mobile robot navigation. Our bio-inspired model of the navigation has proved to achieve sensory-moto...
Christophe Giovannangeli, Philippe Gaussier
AGENTS
2001
Springer
13 years 9 months ago
Using rat navigation models to learn orientation from visual input on a mobile robot
Rodents possess extraordinary navigation abilities that are far in excess of what current state-of-the-art robot agents are capable of. This paper describes research that is part ...
Brett Browning
IROS
2006
IEEE
177views Robotics» more  IROS 2006»
13 years 10 months ago
Robust Mapless Outdoor Vision-Based Navigation
Abstract— This article presents an efficient and mature visionbased navigation algorithm based on a sensory-motor learning. Neither Cartesian nor topological map is required, bu...
Christophe Giovannangeli, Philippe Gaussier, Gael ...