J
Juan Cortés
Researcher at University of Toulouse
Publications - 103
Citations - 3915
Juan Cortés is an academic researcher from University of Toulouse. The author has contributed to research in topics: Motion planning & Any-angle path planning. The author has an hindex of 32, co-authored 102 publications receiving 3284 citations. Previous affiliations of Juan Cortés include Hoffmann-La Roche & Centre national de la recherche scientifique.
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Journal ArticleDOI
Sampling-Based Path Planning on Configuration-Space Costmaps
TL;DR: The proposed planner computes low-cost paths that follow valleys and saddle points of the configuration-space costmap using the exploratory strength of the Rapidly exploring Random Tree (RRT) algorithm with transition tests used in stochastic optimization methods to accept or to reject new potential states.
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Manipulation Planning with Probabilistic Roadmaps
TL;DR: A general manipulation planning approach capable of addressing continuous sets for modeling both the possible grasps and the stable placements of the movable object, rather than discrete sets generally assumed by the previous approaches.
Journal ArticleDOI
The AEROARMS Project: Aerial Robots with Advanced Manipulation Capabilities for Inspection and Maintenance
Anibal Ollero,Guillermo Heredia,Antonio Franchi,Gianluca Antonelli,Konstantin Kondak,Alberto Sanfeliu,Antidio Viguria,J. Ramiro Martínez-de Dios,Francesco Pierri,Juan Cortés,Angel Santamaria-Navarro,Miguel Angel Trujillo Soto,Ribin Balachandran,Juan Andrade-Cetto,Ángel Gaspar González Rodríguez +14 more
TL;DR: This article summarizes new aerial robotic manipulation technologies and methods-aerial robotic manipulators with dual arms and multidirectional thrusters-developed in the AEROARMS project for outdoor industrial inspection and maintenance (I&M).
Journal ArticleDOI
A path planning approach for computing large-amplitude motions of flexible molecules
TL;DR: The purpose is to exploit the efficacy of a geometric conformational search as a filtering stage before subsequent energy refinements, and indicate that the geometric stage can provide highly valuable information to biologists.
Proceedings ArticleDOI
A random loop generator for planning the motions of closed kinematic chains using PRM methods
TL;DR: This work proposes a method to handle closed mechanisms within probabilistic roadmap (PRM) techniques, an extension of the approach proposed by Han et al. (2000), and concerns the generation of random configurations of the closed mechanism.