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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
Maximizing Reward in a Non-Stationary Mobile Robot Environment
Dani Goldberg,Maja J. Matarić +1 more
TL;DR: This paper presents an approach to state estimation in poorly known and non-stationary mobile robot environments, focusing on its application to a mine collection scenario, where performance is quantified using reward maximization.
Book ChapterDOI
Reactive Immune Network Based Mobile Robot Navigation
Guan-Chun Luh,Wei-Wen Liu +1 more
TL;DR: A Reactive Immune Network (RIN) is proposed and applied to intelligent mobile robot learning navigation strategies within unknown environments and shows that the robot is capable to avoid obstacles, escape traps, and reach goal effectively.
The Mechanistic and Normative Structure of Agency
TL;DR: In this paper, the authors develop an interdisciplinary framework for understanding the nature of agents and agency that is compatible with recent developments in the metaphysics of science and that also does justice to the mechanistic and normative characteristics of agents as they are understood in moral philosophy, social psychology, neuroscience, robotics, and economics.
Posted Content
What can you do with a rock? Affordance extraction via word embeddings
TL;DR: This article presented a method for affordance extraction via word embeddings trained on a Wikipedia corpus and applied this method to a reinforcement learning agent in a text-only environment and show that affordance-based action selection improves performance most of the time.
Proceedings ArticleDOI
Reactive navigation for non-holonomic robots using the ego-kinematic space
TL;DR: This work proposes to introduce the robot's kinematic constraints directly in the spatial representation of the ego-kinematic space, and shows experiments involving non-holonomic robots with two reactive navigation methods whose original formulation does not take the robot kinematics constraints into account.