Planning Socially Expressive Mobile Robot Trajectories

Autor: Philip Scales, Olivier Aycard, Véronique Aubergé

Publikováno v: Sensors, Vol 24, Iss 11, p 3533 (2024)

Many mobile robotics applications require robots to navigate around humans who may interpret the robot’s motion in terms of social attitudes and intentions. It is essential to understand which aspects of the robot’s motion are related to such per

Externí odkaz: https://doaj.org/article/b609500ddcf74c5aaa4fb8ea1d4fe6a8

Human Arm Motion Prediction for Collision Avoidance in a Shared Workspace

Autor: Pu Zheng, Pierre-Brice Wieber, Junaid Baber, Olivier Aycard

Publikováno v: Sensors, Vol 22, Iss 18, p 6951 (2022)

Industry 4.0 transforms classical industrial systems into more human-centric and digitized systems. Close human–robot collaboration is becoming more frequent, which means security and efficiency issues need to be carefully considered. In this paper

Externí odkaz: https://doaj.org/article/45660eab48ec4b378b127b1ac9adec41

Robust Navigation using Markov Models

Autor: Julien Burlet, Thierry Fraichard, Olivier Aycard

Publikováno v: International Journal of Advanced Robotic Systems, Vol 5 (2008)

To reach a given goal, a mobile robot first computes a motion plan (ie a sequence of actions that will take it to its goal), and then executes it. Markov Decision Processes (MDPs) have been successfully used to solve these two problems. Their main ad

Externí odkaz: https://doaj.org/article/d21c72f8a33b427994ce68ebb7c27b93

Visual-based Global Localization from Ceiling Images using Convolutional Neural Networks

Autor: Olivier Aycard, Philip Scales, Mykhailo Rimel

Publikováno v: VISIGRAPP (5: VISAPP)
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
16th International Conference on Computer Vision Theory and Applications
16th International Conference on Computer Vision Theory and Applications, Feb 2021, Online Streaming, France. pp.927-934, ⟨10.5220/0010248409270934⟩

International audience; The problem of global localization consists in determining the position of a mobile robot inside its environment without any prior knowledge of its position. Existing approaches for indoor localization present drawbacks such a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db8e9e67de0af0df42cd64b059a4b6c8
https://doi.org/10.5220/0010248409270934

Online optimal motion generation with guaranteed safety in shared workspace

Autor: Pierre-Brice Wieber, Olivier Aycard, Pu Zheng

Publikováno v: ICRA
ICRA 2020-International Conference on Robotics and Automation
ICRA 2020-International Conference on Robotics and Automation, May 2020, Paris, France. pp.1-6

International audience; With new, safer manipulator robots, the probability of serious injury due to collisions with humans remains low (5%), even at speeds as high as 2 m.s -1. Collisions would better be avoided nevertheless, because they disrupt th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d36b8e85f23e37b8972e4198780af1f
https://doi.org/10.1109/icra40945.2020.9197018