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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.read more
Citations
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Journal ArticleDOI
A Hybrid Visual Servo Controller for Robust Grasping by Wheeled Mobile Robots
TL;DR: In this paper, a robust vision-based mobile manipulation system for wheeled mobile robots (WMRs) is developed to guarantee visibility of visual features in the field of view of the camera, which is an important robustness issue in visual servoing.
Proceedings ArticleDOI
XABSL - A Pragmatic Approach to Behavior Engineering
TL;DR: The Extensible Agent Behavior Specification Language (XABSL) is introduced as a pragmatic tool for engineering the behavior of autonomous agents in complex and dynamic environments and is based on hierarchies of finite state machines for action selection.
Proceedings ArticleDOI
Mobile robots at your fingertip: Bezier curve on-line trajectory generation for supervisory control
TL;DR: A new interfacing method is presented to control mobile robot(s) in a supervised manner via a touchpad or touch screen interface and two algorithms have been developed to create the robot trajectory from the operator's input.
Book ChapterDOI
Motion Planning and Obstacle Avoidance
TL;DR: This chapter describes motion planning and obstacle avoidance for mobile robots and will see how the two areas do not share the same modeling background.
Journal ArticleDOI
Prediction of intent in robotics and multi-agent systems
TL;DR: This review paper examines approaches for performing action recognition and prediction of intent from a multi-disciplinary perspective, in both single robot and multi-agent scenarios, and analyses the underlying challenges, focusing mainly on generative approaches.