Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Maria Vittoria Minniti"'
Publikováno v:
IEEE Robotics and Automation Letters, 6 (3)
In this paper, we propose a whole-body planning framework that unifies dynamic locomotion and manipulation tasks by formulating a single multi-contact optimal control problem. We model the hybrid nature of a generic multi-limbed mobile manipulator as
Autor:
Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger
Mobile manipulation in robotics is challenging due to the need of solving many diverse tasks, such as opening a door or picking-and-placing an object. Typically, a basic first-principles system description of the robot is available, thus motivating t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29e4812472ee77e381607397c3bee0cb
Autor:
Mattia Risiglione, Jean-Pierre Sleiman, Maria Vittoria Minniti, Burak Cizmeci, Douwe Dresscher, Marco Hutter
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, 5276-5281
STARTPAGE=5276;ENDPAGE=5281;TITLE=IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
STARTPAGE=5276;ENDPAGE=5281;TITLE=IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
When dealing with the haptic teleoperation of multi-limbed mobile manipulators, the problem of mitigating the destabilizing effects arising from the communication link between the haptic device and the remote robot has not been properly addressed. In
Publikováno v:
IEEE Robotics and Automation Letters, 7 (1)
Modern robotic systems are endowed with superior mobility and mechanical skills that make them suited to be employed in real-world scenarios, where interactions with heavy objects and precise manipulation capabilities are required. For instance, legg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7288c627caf8dfba97beb0b736aec1e8
Publikováno v:
IEEE Robotics and Automation Letters, 7 (1)
Measurement update rules for Bayes filters often contain hand-crafted heuristics to compute observation probabilities for high-dimensional sensor data, like images. In this work, we propose the novel approach Deep Measurement Update (DMU) as a genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fd992c3711324997fb026276a774d8c
Publikováno v:
2021 IEEE International Conference on Robotics and Automation (ICRA)
ICRA
ICRA
Modern, torque-controlled service robots can regulate contact forces when interacting with their environment. Model Predictive Control (MPC) is a powerful method to solve the underlying control problem, allowing to plan for whole-body motions while i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e803b4428002222fc91358b2f2c46b0