Proceedings ArticleDOI
Behavior-based AI techniques for vehicle control
T. Gomi,J.-C. Laurence +1 more
- pp 555-558
TLDR
A set of algorithms which uses Subsumption Architecture for controlling vehicles operating in close vicinity has been developed and a successful application of the approach to a small-scale but fully situated and embodied vehicle control problem using scaled down mobile robots is described.Abstract:
In behavior-based artificial intelligence (AI), intelligence is realized as an emergent process which arises from interactions between otherwise "unintelligent" simple behaviors of agents and between these agents and their environment. A set of algorithms which uses Subsumption Architecture (SA) for controlling vehicles operating in close vicinity has been developed. SA is a dominant behavior-based AI technique. The algorithms collectively generate desirable manoeuver capabilities for vehicles which must travel through a dynamic interactive environment. A successful application of the approach to a small-scale but fully situated and embodied vehicle control problem using scaled down mobile robots is described.read more
Citations
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Journal ArticleDOI
Non-Cartesian robotics
TL;DR: There must be a fundamental revision in approach to robotics, particularly with respect to mobile robots operating in dynamic real life environments, and several of the authors' attempts to develop such robots are described.
Proceedings ArticleDOI
Vision based navigation for an office messenger robot
T. Gomi,Koh-Ichi Ide +1 more
TL;DR: A prototype office messenger robot with a new vision-based navigation/maneuvering system which implements the habitat constraint vision theory proposed by the Massachusetts Institute of Technology (MIT) has been built.
Proceedings ArticleDOI
A behavior-based architecture for unmanned aerial vehicles
Miaobo Dong,Zengqi Sun +1 more
TL;DR: This work proposes an overall behavior-based control scheme for unmanned aerial vehicles (UAVs), from concept to implementation, giving a method linking UAV behaviors with flight control system that used to be complicated and hierarchical.
Proceedings ArticleDOI
The development of a fully autonomous ground vehicle (FAGV)
T. Gomi,K.-I. Ide,H. Matsuo +2 more
TL;DR: In this article, a prototype autonomous ground vehicle (AGV) for use in factories and other industrial/business sites based on behavior-based artificial intelligence (AI) control is presented.
Journal ArticleDOI
Aspects of non-cartesian robotics
TL;DR: The concept of non-Cartesian robotics as an antithesis to conventional (Cartesian) robotics is introduced and various aspects of this new way of running a robotic system are described.
References
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Book
A robust layered control system for a mobile robot
TL;DR: A new architecture for controlling mobile robots is described, building a robust and flexible robot control system that has been used to control a mobile robot wandering around unconstrained laboratory areas and computer machine rooms.
Journal ArticleDOI
A robust layered control system for a mobile robot
TL;DR: In this paper, a new architecture for controlling mobile robots is described, which is made up of asynchronous modules that communicate over low-bandwidth channels, each module is an instance of a fairly simple computational machine.
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TL;DR: It is claimed that the state of computer architecture has been a strong influence on models of thought in Artificial Intelligence over the last thirty years.
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Intelligence without reason
TL;DR: In this article, the authors make the converse claim that the state of computer architecture has been a strong influence on our models of thought, and they use non-Von Neumann computational models they use share many characteristics with biological computation.
Book ChapterDOI
Knowledge Growth in an Artificial Animal
TL;DR: This paper describes work using an artificial, behaving, animal model (termed an “ani-mat”) to study intelligence at a primitive level, and wishes to provide the animat with adaptive mechanisms which yield rapid and solid improvement but themselves contain minimal a priori information.