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A. R. Diéguez
Researcher at University of Vigo
Publications - 10
Citations - 163
A. R. Diéguez is an academic researcher from University of Vigo. The author has contributed to research in topics: Mobile robot & Motion planning. The author has an hindex of 6, co-authored 10 publications receiving 160 citations.
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Improving collision avoidance for mobile robots in partially known environments: the beam curvature method
TL;DR: The method combines a new directional method, called beam method, to improve the performance of a local obstacle avoidance approach called curvature velocity method (CVM).
Journal ArticleDOI
Deliberative On-Line Local Path Planning for Autonomous Mobile Robots
TL;DR: The proposed method complements the reactive behaviour and allows the robot to navigate safely in a partially known environment during a long time period without human intervention.
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A global motion planner that learns from experience for autonomous mobile robots
TL;DR: In this paper, a new technique for enhancing global path planning for mobile robots working in partially known as indoor environments is presented, based on a graph approach that adapts the cost of the paths by incorporating travelling time from real experiences.
Journal ArticleDOI
The beam-curvature method: a new approach for improving local realtime obstacle avoidance
TL;DR: In this article, the authors proposed a new local avoidance method for indoor mobile robots using a directional method named Beam Method to improve the performance of a local obstacle avoidance approach called Curvature Velocity Method (CVM), which employs radial distances provided by the robot sensors to calculate the best one-step headings.
Journal ArticleDOI
Heuristic anytime approaches to stochastic decision processes
TL;DR: This paper proposes a set of methods for solving stochastic decision problems modeled as partially observable Markov decision processes (POMDPs) based on the use of prediction methods combined with several existing heuristic decision algorithms.