Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Claudio Zito"'
Autor:
Claudio Zito, Eliseo Ferrante
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
This paper is concerned with learning transferable contact models for aerial manipulation tasks. We investigate a contact-based approach for enabling unmanned aerial vehicles with cable-suspended passive grippers to compute the attach points on novel
Externí odkaz:
https://doaj.org/article/1414646eda2e44d6ba4c38c4bab26dc7
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Physical human-robot interaction (pHRI) enables a user to interact with a physical robotic device to advance beyond the current capabilities of high-payload and high-precision industrial robots. This paradigm opens up novel applications where a the c
Externí odkaz:
https://doaj.org/article/017e85f075fa4fac895b8e61ccf0b402
Autor:
Rhys Howard, Claudio Zito
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
This paper is concerned with learning transferable forward models for push manipulation that can be applying to novel contexts and how to improve the quality of prediction when critical information is available. We propose to learn a parametric inter
Externí odkaz:
https://doaj.org/article/c42cdff0229846d1b3f100d60ad72fa6
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
As robots make their way out of factories into human environments, outer space, and beyond, they require the skill to manipulate their environment in multifarious, unforeseeable circumstances. With this regard, pushing is an essential motion primitiv
Externí odkaz:
https://doaj.org/article/753d6636a0df4c4485357c159de333ce
Towards Living Machines: current and future trends of tactile sensing, grasping, and social robotics
Autor:
Vasiliki Vouloutsi, Lorenzo Cominelli, Mehmet Dogar, Nathan Lepora, Claudio Zito, Uriel Martinez-Hernandez
Publikováno v:
Bioinspiration & Biomimetics. 18:025002
The development of future technologies can be highly influenced by our deeper understanding of the principles that underlie living organisms. The Living Machines conference aims at presenting (among others) the interdisciplinary work of behaving syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71088221297d8a4168a833639e212d26
https://doi.org/10.1088/1748-3190/acb7b9
https://doi.org/10.1088/1748-3190/acb7b9
Autor:
Claudio Zito, Rhys Howard
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Frontiers in Neurorobotics
Frontiers in Neurorobotics
This paper is concerned with learning transferable forward models for push manipulation that can be applying to novel contexts and how to improve the quality of prediction when critical information is available. We propose to learn a parametric inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eabc694708b94cd83c17fc05ebfe87ec
https://doi.org/10.3389/fnbot.2021.671775
https://doi.org/10.3389/fnbot.2021.671775
Publikováno v:
ICORR
Myoelectric control systems for assistive devices are still unreliable. The user's input signals can become unstable over time due to e.g. fatigue, electrode displacement, or sweat. Hence, such controllers need to be constantly updated and heavily re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39616c27cbdf176d261a23515aae5a0d
https://pubmed.ncbi.nlm.nih.gov/31374662
https://pubmed.ncbi.nlm.nih.gov/31374662
Touch is an important modality to recover object shape. We present a method for a robot to complete a partial shape model by local tactile exploration. In local tactile exploration, the finger is constrained to follow the local surface. This is usefu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52e6853eb3af57e2e3ef18b69eb27949
http://hdl.handle.net/11568/917300
http://hdl.handle.net/11568/917300
Autor:
Marek Kopicki, Christoph W. Borst, Rustam Stolkin, Maximo A. Roa, Jeremy L. Wyatt, Florian Schmidt, Claudio Zito
Publikováno v:
IROS
Dexterous grasping of objects with uncertain pose is a hard unsolved problem in robotics. This paper solves this problem using information gain re-planning. First we show how tactile information, acquired during a failed attempt to grasp an object ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7752c1f310f75b05d69df6a6633385d8
https://doi.org/10.1109/iros.2013.6696930
https://doi.org/10.1109/iros.2013.6696930
Publikováno v:
IROS
This paper presents an algorithm for planning sequences of pushes, by which a robotic arm equipped with a single rigid finger can move a manipulated object (or manipulandum) towards a desired goal pose. Pushing is perhaps the most basic kind of manip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb2fa3686377be9b70f7fb13273cbd69
https://doi.org/10.1109/iros.2012.6385828
https://doi.org/10.1109/iros.2012.6385828