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pro vyhledávání: '"Koutras, Leonidas"'
In this work, a control scheme for approaching and unveiling a partially occluded object of interest is proposed.The control scheme is based only on the classified point cloud obtained by the in-hand camera attached to the robot's end effector. It is
Externí odkaz:
http://arxiv.org/abs/2112.09487
Publikováno v:
IEEE Robotics and Automation Letters. 7:8783-8790
Robotic grasping in highly cluttered environments remains a challenging task due to the lack of collision free grasp affordances. In such conditions, non-prehensile actions could help to increase such affordances. We propose a multi-fingered push-gra
Autor:
Koutras, Leonidas, Vlachos, Konstantinos, Kanakis, George S, Dimeas, Fotios, Doulgeri, Zoe, Rovithakis, George A.
In this work a control scheme is proposed to enforce dynamic obstacle avoidance constraints to the full body of actively compliant robots. We argue that both compliance and accuracy are necessary to build safe collaborative robotic systems; obstacle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::96783c7dca52745c1980c1f30391bada
https://zenodo.org/record/8183605
https://zenodo.org/record/8183605
In this work, a control scheme for approaching and unveiling a partially occluded object of interest is proposed. The control scheme is based only on the classified point cloud obtained by the in-hand camera attached to the robot's end effector. It i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7c17faa0ca1e461d6a4fdadc4851697
Autor:
Koutras, Leonidas, Doulgeri, Zoe
Publikováno v:
2020 International Conference on Robotics and Automation (ICRA)
ICRA
ICRA
In this work, we propose an augmentation to the Dynamic Movement Primitives (DMP) framework which allows the system to generalize to moving goals without the use of any known or approximation model for estimating the goal’s motion. We aim to mainta
Autor:
Koutras, Leonidas, Doulgeri, Zoe
Publikováno v:
Conference on Robotic Learning (CoRL) 2019
Dynamic movement primitives (DMP) are an efficient way for learning and reproducing complex robot behaviors. A singularity free DMP formulation for orientation in the Cartesian space is proposed by Ude et al. in 2014 and has been largely adopted by t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::503b6af0624f74f15ddf66ccfc5e4d2f