Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sherdil Niyaz"'
Autor:
Heramb Nemlekar, Ziang Liu, Suraj Kothawade, Sherdil Niyaz, Barath Raghavan, Stefanos Nikolaidis
The problem of robotic lime picking is challenging; lime plants have dense foliage which makes it difficult for a robotic arm to grasp a lime without coming in contact with leaves. Existing approaches either do not consider leaves, or treat them as o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a597e5b540d73c9433989ee886991a8
http://arxiv.org/abs/2108.13889
http://arxiv.org/abs/2108.13889
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030430887
Caging grasps restrict object motion without requiring complete immobilization, providing a robust alternative to force- and formclosure grasps. Energy-bounded cages are a new class of caging grasp ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c619bfe332f47c2dfb8745f6430d7b3
https://doi.org/10.1007/978-3-030-43089-4_27
https://doi.org/10.1007/978-3-030-43089-4_27
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030339494
ISER
ISER
Concentric tube robots, or CTRs, are tentacle-like robots composed of precurved telescoping tubes (Fig. 1a) and are controlled by rotating and translating each individual tube [6]. Their dexterity and small diameter enable minimally-invasive surgery
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98cd7680835418ae5d05060aab621ace
https://doi.org/10.1007/978-3-030-33950-0_1
https://doi.org/10.1007/978-3-030-33950-0_1
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 15:908-918
For applications such as manufacturing, caging grasps restrict object motion without requiring complete immobilization, providing a robust alternative to force- and form-closure grasps. Energy-bounded cages are a new class of caging grasps that relax
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7abd1cedffc017aa6ea81ec9187d5ddc
https://doi.org/10.1109/tase.2018.2831724
https://doi.org/10.1109/tase.2018.2831724
Publikováno v:
IROS
Rep U S
Rep U S
A motion-planning problem’s setup can drastically affect the quality of solutions returned by the planner. In this work we consider optimizing these setups, with a focus on doing so in a computationally-efficient fashion. Our approach interleaves o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c94195b7efd6ea4cce4da7b8fad9781
https://doi.org/10.1109/iros40897.2019.8968575
https://doi.org/10.1109/iros40897.2019.8968575
Publikováno v:
CASE
To support industrial automation, systems such as GraspIt! and Dex-Net 1.0 provide “Grasp Planning as a Service” (GPaaS). To assist manufacturers setting up automated assembly lines, users can send part geometry via the Internet to the service an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::152ed9df2f1c72a77e8cdd4b8714d62a
https://doi.org/10.1109/coase.2016.7743442
https://doi.org/10.1109/coase.2016.7743442