Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kieran Gilday"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Creativity and style in music playing originates from constraints and imperfect interactions between instruments and players. Digital and robotic systems have so far been unable to capture this naturalistic playing. Whether as an additional tool for
Externí odkaz:
https://doaj.org/article/f1a5306d201347689e8a7cad52200609
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 7, Pp n/a-n/a (2023)
Manipulation strategies based on the passive dynamics of soft‐bodied interactions provide robust performances with limited sensory information. They utilize the kinematic structure and passive dynamics of the body to adapt to objects of varying sha
Externí odkaz:
https://doaj.org/article/27f9ebf9e0294266a32be9c5230576c5
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d668b67e58b68d29aeeb295b30204ee
https://doi.org/10.1109/iros47612.2022.9981855
https://doi.org/10.1109/iros47612.2022.9981855
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b34114932356050d6645fe833f0d4dc1
https://doi.org/10.1109/iros47612.2022.9982126
https://doi.org/10.1109/iros47612.2022.9982126
Autor:
Kieran Gilday, Fumiya Iida
In order to progress the development of intelligent soft hands for general-purpose use in humanoid robots, social assistive robots, adaptive manufacturing, prosthetics and more, we need to rethink our approach to benchmarking. Where previously, hands
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e66f428a3a714dfdb28594d075c1419e
Publikováno v:
RoboSoft
Stiffness control is critical in human manipulation. The ability to transition between a low stiffness state, allowing for compliant interactions with the environment, through to rigid states, where it is possible to exert high forces, enables much f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f23df4c7ec9e23d4e3fadbba6b2546c3
https://doi.org/10.1109/robosoft51838.2021.9479352
https://doi.org/10.1109/robosoft51838.2021.9479352
The ability to 3D print soft materials with integrated strain sensors enables significant flexibility for the design and fabrication of soft robots. Hydrogels provide an interesting alternative to traditional soft robot materials, allowing for more v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a41b6e0df776f22902c8a92854990dc9
https://doi.org/10.17863/cam.65864
https://doi.org/10.17863/cam.65864
Suction Cup Based on Particle Jamming and Its Performance Comparison in Various Fruit Handling Tasks
Publikováno v:
AIM
Suction cups are widely used in pick and place tasks in well-structured and controlled environments with low variance in task requirements. For tasks requiring higher demands and variations, such as quality control of citrus fruits, commercial suctio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44c85c42c4692b1d26cb78f7cb58e8fa
https://doi.org/10.1109/aim43001.2020.9158945
https://doi.org/10.1109/aim43001.2020.9158945
Publikováno v:
RoboSoft
The ability to sense compliant interactions through internal state measurements improves adaptability and robustness of robotic grasping and manipulation, without interfering with any carefully designed passive dynamics. This work presents a collocat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9289bc269fe71406a87901834f0746aa
https://doi.org/10.1109/robosoft48309.2020.9116054
https://doi.org/10.1109/robosoft48309.2020.9116054
Publikováno v:
RoboSoft
Soft strain sensors are becoming increasingly popular for obtaining tactile information in soft robotic applications. Diverse technological solutions are being investigated to design these sensors. Simultaneously, new methods for modeling these senso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::617765a250338bd1be949c3c03a3c3bb
https://doi.org/10.1109/robosoft48309.2020.9116021
https://doi.org/10.1109/robosoft48309.2020.9116021