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» Exploring Unknown Environments with Obstacles
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ICRA
2000
IEEE
115views Robotics» more  ICRA 2000»
15 years 2 months ago
Virtual Obstacle Concept for Local-Minimum Recovery in Potential-Field Based Navigation
We present a navigation algorithm, which integrates virtual obstacle concept with a potential-field-based method to maneuver cylindrical mobile robots in unknown or unstructured e...
Liu Chengqing, Marcelo H. Ang, Hariharan Krishnan,...
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
14 years 7 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael
ICRA
2003
IEEE
154views Robotics» more  ICRA 2003»
15 years 2 months ago
Obstacle avoidance in formation
Abstract— In this paper, we present an approach to obstacle avoidance for a group of unmanned vehicles moving in formation. The goal of the group is to move through a partially u...
Petter Ögren, Naomi Ehrich Leonard
JIRS
2007
78views more  JIRS 2007»
14 years 9 months ago
Online-learning and Attention-based Approach to Obstacle Avoidance Using a Range Finder
The problem of developing local reactive obstacle-avoidance behaviors by a mobile robot through online real-time learning is considered. The robot operated in an unknown bounded 2...
Shuqing Zeng, Juyang Weng
ICRA
2009
IEEE
126views Robotics» more  ICRA 2009»
14 years 7 months ago
Time-bounded lattice for efficient planning in dynamic environments
For vehicles navigating initially unknown cluttered environments, current state-of-the-art planning algorithms are able to plan and re-plan dynamically-feasible paths efficiently a...
Aleksandr Kushleyev, Maxim Likhachev