Open AccessBook
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.read more
Citations
More filters
Book ChapterDOI
OSCAR - Eine Systemarchitektur für den autonomen mobilen Roboter MARVIN
TL;DR: Der Beitrag geht auf die interne Struktur of OSCAR naher ein und erlautert verschiedene Kommunikationskonzepte in Hinblick auf praktische Handhabung and Performance.
Journal ArticleDOI
Development of a navigation system for heterogeneous mobile robots
Praneel Chand,Dale A. Carnegie +1 more
TL;DR: A single generic navigation system that combines the benefits of reactive and deliberative control has been developed for heterogeneous mobile robots and initial hardware experiments demonstrate that the navigation system can work on real robots.
Proceedings ArticleDOI
An efficient coordination architecture for autonomous robot teams
Aaron Khoo,Ian Horswill +1 more
TL;DR: HIVEMind is described, a tagged behavior-based architecture for small teams of cooperative robots that allows team members to share intentional, attentional, and sensory information using relatively low-bandwidth connections.
Motion coordination for mobile robotic networks with visibility sensors
Francesco Bullo,Anurag Ganguli +1 more
TL;DR: A nonsmooth gradient algorithm is proposed for the problem of maximizing the area of the region visible to the observer in a non-self-intersecting nonconvex polygon and it is shown that the visible area is almost everywhere a locally Lipschitz function of the observer location.
Journal ArticleDOI
Dynamical Systems for Predictive Control of Autonomous Robots
TL;DR: The model is implemented as a three-layer neural network that combines predictive perception, internal-state transitions and action selection into a loop which closes via the environment and considers hierarchical architectures consisting of several modules in one agent as well as groups of several agents, which are controlled by such networks.