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Behavior-Based Robotics

TLDR
Whence behaviour? animal behaviour robot behaviour behaviour based architectures representational issues for behavioural systems hybrid deliberative/rective architectures perceptual basis for behaviour-based control adaptive behaviour social behaviour fringe robotics - beyond behaviour.
Abstract
Whence behaviour? animal behaviour robot behaviour behaviour-based architectures representational issues for behavioural systems hybrid deliberative/rective architectures perceptual basis for behaviour-based control adaptive behaviour social behaviour fringe robotics - beyond behaviour.

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Proceedings ArticleDOI

Towards focused plan monitoring: a technique and an application to mobile robots

TL;DR: The original approach to rationale-based monitoring, originally introduced by Veloso, Pollack, and Cox (1998), is reviewed, how it can be adapted for a causal-link planner is described, and experimental results demonstrate that it can lead to improved plans without consuming excessive overhead.
Journal ArticleDOI

Dynamic vision-based intelligence

Ernst D. Dickmanns
- 01 Jun 2004 - 
TL;DR: A synthesis of methods from cybernetics an AI yields a concept of intelligence for autonomous mobile systems that integrates closed-loop visual perception and goal-oriented action cycles using spatiotemporal models.
Book ChapterDOI

Communication Fault Tolerance in Distributed Robotic Systems

TL;DR: This work uses the dynamical systems approach of coupled selection equations to achieve the task of assigning a team of mobile robotic systems to individual job-locations with several advantages over traditional integer programs and other distributed approaches.
Book ChapterDOI

Reasoning about Robot Actions: A Model Checking Approach

TL;DR: In this article, the authors use model-checking to reason about robot actions in changing and unpredictable environments, such as reactive to unanticipated events, interacting and coordinating with other agents, and acquiring information about the world.
Journal ArticleDOI

An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks

TL;DR: Qualitative and quantitative comparisons with neural network ensembles employing weighted sum reveal that the new ensemble approach presented can achieve more sophisticated motion tasks even though the weighted-sum ensemble approach also operates in continuous motor control space.