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JFR
2008
87views more  JFR 2008»
13 years 7 months ago
Hough based terrain classification for realtime detection of drivable ground
The usability of mobile robots for surveillance, search and rescue missions can be significantly improved by intelligent functionalities decreasing the cognitive load on the opera...
Jann Poppinga, Andreas Birk 0002, Kaustubh Pathak
ICML
2010
IEEE
13 years 7 months ago
FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model
We present an overview of FAB-MAP, an algorithm for place recognition and mapping developed for infrastructure-free mobile robot navigation in large environments. The system allow...
Mark Joseph Cummins, Paul M. Newman
ICML
1996
IEEE
14 years 8 months ago
Passive Distance Learning for Robot Navigation
Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or le...
Sven Koenig, Reid G. Simmons
ICRA
2010
IEEE
146views Robotics» more  ICRA 2010»
13 years 6 months ago
Statistical mobility prediction for planetary surface exploration rovers in uncertain terrain
— Planetary surface exploration rovers must accurately and efficiently predict their mobility on natural, rough terrain. Most approaches to mobility prediction assume precise a p...
Genya Ishigami, Gaurav Kewlani, Karl Iagnemma
ATAL
2009
Springer
13 years 8 months ago
Efficient physics-based planning: sampling search via non-deterministic tactics and skills
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Stefan Zickler, Manuela M. Veloso