Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Keerthi Sagar"'
Autor:
Shakra Mehak, Inês F. Ramos, Keerthi Sagar, Aswin Ramasubramanian, John D. Kelleher, Michael Guilfoyle, Gabriele Gianini, Ernesto Damiani, Maria Chiara Leva
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Collaborative intelligence (CI) involves human-machine interactions and is deemed safety-critical because their reliable interactions are crucial in preventing severe injuries and environmental damage. As these applications become increasingly data-d
Externí odkaz:
https://doaj.org/article/2a9cf321479a40cdac5a1f51ab088afc
Autor:
Vishal Ramadoss, Keerthi Sagar, Mohamed Sadiq Ikbal, Jesus Hiram Lugo Calles, Raghuveer Siddaraboina, Matteo Zoppi
Publikováno v:
2022 IEEE 5th International Conference on Soft Robotics (RoboSoft).
There is a surge of research interest in the field of tensegrity robotics. Robots developed under this paradigm provide many advantages and have distinguishing features in terms of structural compliance, dexterity, safety, and weight reduction. This
Publikováno v:
ISR
This paper presents a clear and detailed mathematical analysis of the stiffness evaluation of tendon-driven serial kinematic chains which allow single-point and multi-point routing with bundling per rigid link. The kinematic analysis of tendon driven
Autor:
Francesco Grella, Giulia Baldini, Roberto Canale, Keerthi Sagar, Si Ao Wang, Alessandro Albini, Michal Jilich, Giorgio Cannata, Matteo Zoppi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c84f375060d4996fd8da8da2fcc96cd6
https://hdl.handle.net/11567/1083131
https://hdl.handle.net/11567/1083131
Autor:
Vishal Ramadoss, Keerthi Sagar, Dimiter Zlatanov, Matteo Zoppi, Alessandro Zanella, Michal Jilich
Publikováno v:
Advances in Robot Kinematics 2020 ISBN: 9783030509743
ARK
ARK
With the rise of collaborative robots in industries, this paper proposes a human robot collaborative gripper for a windshield assembly and visual inspection application. The collaborative interface which acts as a haptic feedback device is mounted on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bb050b4c3228a1ee2e6b539d48de2ee
https://doi.org/10.1007/978-3-030-50975-0_38
https://doi.org/10.1007/978-3-030-50975-0_38
Sheet metal manufacturing is finding wide applications in automotive and aerospace industries. Handling of giant sheet materials in manufacturing industries is one of the key problems. Utilization of robots, viz SwarmItFIX, will address this problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74fbbbc2c51a4dc44f6f1a08625d4920
http://hdl.handle.net/11567/1014290
http://hdl.handle.net/11567/1014290
Autor:
Dimiter Zlatanov, Jesus H. Lugo, Sreekumar Muthuswamy, Matteo Zoppi, Keerthi Sagar, Rezia Molfino
Publikováno v:
Procedia Computer Science. 133:676-683
The paper addresses the multi-agent path planning (MPP) of mobile agents with multiple goals taking into consideration the kinematic constraints of each agent. The “Swing and Dock” (SaD) robotic system being discussed uses discrete locomotion, wh
Autor:
Luis de Leonardo, Rezia Molfino, Cezary Zieliński, Teresa Zielinska, Matteo Zoppi, Dimiter Zlatanov, Keerthi Sagar
Publikováno v:
Procedia Manufacturing. 11:413-422
The paper presents the integration and experiments with a pilot cell including a traditional machine tool and an innovative robot-swarm cooperative conformable support for aircraft body panels. The pilot was installed and tested in the premises of th
This paper presents workspace analysis of tendon- driven planar serial kinematic chains which allows single-point and multi-point routing with bundling per rigid link. Targeting a musculoskeletal two-link system with different tendon arrangements as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87051f1398bef2960736eb66bcd7a58e
Publikováno v:
Advances in Mechanism and Machine Science ISBN: 9783030201302
SwarmItFIX is a flexible fixturing system designed and developed for sheet metal manufacturing applications. In this work, an artificial intelligence technique developed based on Markov Decision Process (MDP) is implemented for the task of multi-head
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::302103ee860a8206d6ff1d1274f6f318
https://doi.org/10.1007/978-3-030-20131-9_221
https://doi.org/10.1007/978-3-030-20131-9_221