Open AccessProceedings Article
Path planning and environment learning in a mobile robot system
Raja Chatila
- pp 211-215
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This article is published in European Conference on Artificial Intelligence.The article was published on 1982-07-01 and is currently open access. It has received 93 citations till now. The article focuses on the topics: Robot control & Social robot.read more
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Journal ArticleDOI
Gross motion planning—a survey
Yong K. Hwang,Narendra Ahuja +1 more
TL;DR: This paper surveys the work on gross-motion planning, including motion planners for point robots, rigid robots, and manipulators in stationary, time-varying, constrained, and movable-object environments.
Proceedings ArticleDOI
Position referencing and consistent world modeling for mobile robots
Raja Chatila,Jean-Paul Laumond +1 more
TL;DR: The approach proposed in this paper relies on the use of a multisensory system, favo ring of the data collected by the more accurate sensor in a given situation, averaging of different but consistent measurements of the same entity weighted with their associated uncertainties.
Journal ArticleDOI
A review of mobile robots: Concepts, methods, theoretical framework, and applications
TL;DR: The world of mobile robots is explored including the new trends led by artificial intelligence, autonomous driving, network communication, cooperative work, nanorobotics, friendly human–robot interfaces, safe human-robot interaction, and emotion expression and perception.
Journal ArticleDOI
A mobile robot exploration algorithm
TL;DR: An algorithm for path planning to a goal with a mobile robot in an unknown environment is presented and makes use of the quadtree data structure to model the environment and uses the distance transform methodology to generate paths for the robot to execute.
Journal ArticleDOI
A visual navigation system for autonomous land vehicles
A M Waxman,J. LeMoigne,Larry S. Davis,B. Srinivasan,Todd R. Kushner,Eli Liang,T. Siddalingaiah +6 more
TL;DR: A modular system architecture has been developed to support visual navigation by an autonomous land vehicle that consists of vision modules performing image processing, three-dimensional shape recovery, and geometric reasoning, as well as modules for planning, navigating, and piloting.