Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Stefano Michieletto"'
Autor:
Francesca Stival, Stefano Michieletto, Matteo Cognolato, Enrico Pagello, Henning Müller, Manfredo Atzori
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 16, Iss 1, Pp 1-17 (2019)
Abstract Background A proper modeling of human grasping and of hand movements is fundamental for robotics, prosthetics, physiology and rehabilitation. The taxonomies of hand grasps that have been proposed in scientific literature so far are based on
Externí odkaz:
https://doaj.org/article/05a6582db56f4647bddbecb085473841
Publikováno v:
Sensors, Vol 22, Iss 15, p 5798 (2022)
Industry 4.0, smart homes, and the Internet of Things are boosting the employment of autonomous aerial vehicles in indoor environments, where localization is still challenging, especially in the case of close and cluttered areas. In this paper, we pr
Externí odkaz:
https://doaj.org/article/d508b10c0f644b4b8069a8ce95f8d587
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
Industry 4.0 aims to make collaborative robotics accessible and effective inside factories. Human–robot interaction is enhanced by means of advanced perception systems which allow a flexible and reliable production. We are one of the contenders of
Externí odkaz:
https://doaj.org/article/e1f6ccfcaaf841e98f58fb310477b153
The robotic industry needs new, innovative, ideas to be globally competitive. Conventional industrial robots are not able to adapt to changes in the assembly processes. Flexible assembly applications are actually uncommon and only isolated attempts e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::982d50fb89219e710200ce5d1cbe82e8
https://doi.org/10.1016/b978-0-12-818906-1.00003-6
https://doi.org/10.1016/b978-0-12-818906-1.00003-6
Autor:
Deepti Aggrawal, Alessandra Cristina Santos Akkari, Ramón Alcarria, Adarsh Anand, Camila Garmes Armani, Nataliya V. Asanova, António Baptista, Aleksei V. Bogoviz, Borja Bordel, Kanchan Das, Karina Fernandes de Oliveira, Vrinda Dujari, Ekaterina M. Egorova, Behin Elahi, Patricio Franco, Beatriz Gonçalves, Larisa A. Ilyina, Diogo Jorge, Tatyana E. Kozhanova, Anastasia A. Kurilova, Evgeny A. Likholetov, Tatiana N. Litvinova, Teresa Loreth, Ekaterina V. Lyubimova, Larisa A. Melikhova, Stefano Michieletto, Reema Monga, Igor Polezi Munhoz, Natalia S. Mushketova, Enrique Nalda, Enrico Pagello, Paulo Peças, Stefan Pickl, Elena G. Popkova, Larisa V. Popova, Darya A. Prosvirina, Mangey Ram, Bruno Rocha, Daniel Alejandro Rossit, M. Trinidad Sanchez, Nadezhda K. Savelyeva, Anna. V. Shokhnekh, Jagvinder Singh, Anastasia A. Sozinova, Francesca Stival, Anton N. Sunteev, Irina A. Tarasova, Victoria S. Telyatnikova, Fernando Tohmé, Sadegh Amiri Tokaldany
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6b62001aa559fcc8305eb978d34163d
https://doi.org/10.1016/b978-0-12-818906-1.00023-1
https://doi.org/10.1016/b978-0-12-818906-1.00023-1
Human-robot collaboration is one of the key elements in the Industry 4.0 revolution, aiming to a close and direct collaboration between robots and human workers to reach higher productivity and improved ergonomics. The first step toward such kind of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cac99b396b132066667471532e13e62f
http://hdl.handle.net/11577/3358830
http://hdl.handle.net/11577/3358830
Publikováno v:
CIS/RAM
In this paper, we propose a novel human-robot interface capable to anticipate the user intention while performing reaching movements on a working bench in order to plan the action of a collaborative robot. The system integrates two levels of predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fefc1e649347a86f51a6d51fccbe6a2
https://doi.org/10.1109/cis-ram47153.2019.9095779
https://doi.org/10.1109/cis-ram47153.2019.9095779
Autor:
Andrea Bisson, Stefano Michieletto, Emanuele Menegatti, Fabrizio Romanelli, Valentina Ferrara
Teleoperation of manipulator robots with RGB-D sensors is now mainly done using inverse kinematics techniques. In this chapter, we describe an intuitive way to teleoperate an industrial manipulator through vision sensors by directly controlling manip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09cfcb66b61cdc2c374a655f74dd21b8
https://doi.org/10.4018/978-1-5225-8060-7.ch050
https://doi.org/10.4018/978-1-5225-8060-7.ch050
Publikováno v:
Robotics and Autonomous Systems. 75:671-678
This paper presents a graduate course project on humanoid robotics offered by the University of Padova. The target is to safely lift an object by teleoperating a small humanoid. Students have to map human limbs into robot joints, guarantee the robot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a4ab7400083ff2dff185516c0d9081
https://doi.org/10.1016/j.robot.2015.09.023
https://doi.org/10.1016/j.robot.2015.09.023