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» Exploring Unknown Environments with Obstacles
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ICRA
2000
IEEE
115views Robotics» more  ICRA 2000»
13 years 11 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»
13 years 4 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»
14 years 19 days 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»
13 years 7 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»
13 years 5 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