Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Joris De Winter"'
Publikováno v:
Sensors, Vol 24, Iss 7, p 2142 (2024)
This paper presents a comparative analysis of six prominent registration techniques for solving CAD model alignment problems. Unlike the typical approach of assessing registration algorithms with synthetic datasets, our study utilizes point clouds ge
Externí odkaz:
https://doaj.org/article/1450c235a39842b696d5fae93849104a
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
The number of collaborative robots that perform different tasks in close proximity to humans is increasing. Previous studies showed that enabling non-expert users to program a cobot reduces the cost of robot maintenance and reprogramming. Since this
Externí odkaz:
https://doaj.org/article/ec1b5dd272ce416baaf056b2d7dec413
Autor:
Gaoyuan Liu, Joris de Winter, Denis Steckelmacher, Roshan Kumar Hota, Ann Nowe, Bram Vanderborght
obotic manipulation in cluttered environments requires synergistic planning among prehensile and non-prehensile actions. Previous works on sampling-based Task and Motion Planning (TAMP) algorithms, e.g. PDDLStream, provide a fast and generalizable so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1915e021511d180e35a31f741b650696
https://doi.org/10.1109/lra.2023.3261708
https://doi.org/10.1109/lra.2023.3261708
Autor:
Bram Vanderborght, Tom Verstraten, Carlos Rodriguez-Guerrero, David Rodriguez-Cianca, Kevin Langlois, Dirk Lefeber, Ben Serrien, Joris De Winter
Publikováno v:
IEEE Transactions on Medical Robotics and Bionics. 3:146-155
Physical human-robot interfaces are a challenging aspect of exoskeleton design, mainly due to the fact that interfaces tend to migrate relatively to the body leading to discomfort and power losses. Therefore, the key is to develop interfaces that opt
Publikováno v:
Robotics and Computer-Integrated Manufacturing. 79:102417
The factory of the future is steering away from conventional assembly line production with sequential conveyor technology, towards flexible assembly lines, where products dynamically move between work-cells. Flexible assembly lines are significantly
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030938413
The deployment of Reinforcement Learning (RL) on physical robots still stumbles on several challenges, such as sample-efficiency, safety, reproducibility, cost, and software platforms. In this paper, we introduce MoveRL, an environment that exposes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc8820bf7e4597eaf3db4a20429d838d
https://doi.org/10.1007/978-3-030-93842-0_14
https://doi.org/10.1007/978-3-030-93842-0_14
Publikováno v:
Interaction Studies. 20:102-133
Human-robot collaboration, whereby the human and the robot join their forces to achieve a task, opens new application opportunities in manufacturing. Robots can perform precise and repetitive operations while humans can execute tasks that require dex
Autor:
Bram Vanderborght, Jarl Beckers, Dirk Lefeber, Joris De Winter, Elias Saerens, Tom Verstraten, Pablo Lopez Garcia, Stein Crispel, Vincent Ducastel, Raphael Furnemont
Publikováno v:
IROS
Research towards (compliant) actuators, especially redundant ones like the Series Parallel Elastic Actuator (SPEA), has led to the development of drive trains, which have demonstrated to increase efficiency, torque-to-mass-ratio, power-to-mass ratio,
Autor:
Joris De Winter, Ilias El Makrini, Albert De Beir, Ann Nowé, Greet Van de Perre, Bram Vanderborght
Publikováno v:
Robotics, 8 (4
Robotics
Volume 8
Issue 4
Robotics
Volume 8
Issue 4
The assembly industry is shifting more towards customizable products, or requiring assembly of small batches. This requires a lot of reprogramming, which is expensive because a specialized engineer is required. It would be an improvement if untrained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e17d5f954ac86f45df97266861a63f96
https://hdl.handle.net/20.500.14017/7b5952f9-0811-44e8-81ea-77c845302ecc
https://hdl.handle.net/20.500.14017/7b5952f9-0811-44e8-81ea-77c845302ecc
Autor:
Cristian Vergara, Wilm Decré, Joris De Winter, Greet Van de Perre, Kelly Merckaert, Ilias El Makrini, Bram Vanderborght, Erwin Aertbeliën, Joris De Schutter
Publikováno v:
Vrije Universiteit Brussel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8ad255f08cc9d33d4f51a987abf31100
https://biblio.vub.ac.be/vubir/expediting-the-deployment-of-industrial-robotic-applications-by-learning-from-operators-part-1-generating-reactive-approach-motions-using-generalized-trajectories-from-demonstrations(70afe618-dbd5-4644-b4a7-6cd21678a206).html
https://biblio.vub.ac.be/vubir/expediting-the-deployment-of-industrial-robotic-applications-by-learning-from-operators-part-1-generating-reactive-approach-motions-using-generalized-trajectories-from-demonstrations(70afe618-dbd5-4644-b4a7-6cd21678a206).html