Zobrazeno 1 - 10
of 682
pro vyhledávání: '"Bianchi, Matteo"'
Autor:
Ivani, Alessia S., Barontini, Federica, Catalano, Manuel G., Grioli, Giorgio, Bianchi, Matteo, Bicchi, Antonio
This study presents the characterization and validation of the VIBES, a wearable vibrotactile device that provides high-frequency tactile information embedded in a prosthetic socket. A psychophysical characterization involving ten able-bodied partici
Externí odkaz:
http://arxiv.org/abs/2408.12375
Autor:
Li, Haoran, Ford, Christopher J., Lu, Chenghua, Lin, Yijiong, Bianchi, Matteo, Catalano, Manuel G., Psomopoulou, Efi, Lepora, Nathan F.
For tendon-driven multi-fingered robotic hands, ensuring grasp adaptability while minimizing the number of actuators needed to provide human-like functionality is a challenging problem. Inspired by the Pisa/IIT SoftHand, this paper introduces a 3D-pr
Externí odkaz:
http://arxiv.org/abs/2406.12731
Publikováno v:
IJCAI 2024
Transparency and explainability in image classification are essential for establishing trust in machine learning models and detecting biases and errors. State-of-the-art explainability methods generate saliency maps to show where a specific class is
Externí odkaz:
http://arxiv.org/abs/2405.03301
Autor:
Ivani, Alessia Silvia, Catalano, Manuel G., Grioli, Giorgio, Bianchi, Matteo, Visell, Yon, Bicchi, Antonio
Our research investigates vibrotactile perception in four prosthetic hands with distinct kinematics and mechanical characteristics. We found that rigid and simple socket-based prosthetic devices can transmit tactile information and surprisingly enabl
Externí odkaz:
http://arxiv.org/abs/2402.12989
Autor:
Ivani, Alessia Silvia, Barontini, Federica, Catalano, Manuel G., Grioli, Giorgio, Bianchi, Matteo, Bicchi, Antonio
The use of vibrotactile feedback is of growing interest in the field of prosthetics, but few devices fully integrate this technology in the prosthesis to transmit high-frequency contact information (such as surface roughness and first contact) arisin
Externí odkaz:
http://arxiv.org/abs/2312.13015
Autor:
Ford, Christopher J., Li, Haoran, Lloyd, John, Catalano, Manuel G., Bianchi, Matteo, Psomopoulou, Efi, Lepora, Nathan F.
This paper presents a control scheme for force sensitive, gentle grasping with a Pisa/IIT anthropomorphic SoftHand equipped with a miniaturised version of the TacTip optical tactile sensor on all five fingertips. The tactile sensors provide high-reso
Externí odkaz:
http://arxiv.org/abs/2303.09346
Autor:
Lorenzini, Marta, Ciotti, Simone, Gandarias, Juan M., Fani, Simone, Bianchi, Matteo, Ajoudani, Arash
Recurrent or sustained awkward body postures are among the most frequently cited risk factors to the development of work-related musculoskeletal disorders (MSDs). To prevent workers from adopting harmful configurations but also to guide them toward m
Externí odkaz:
http://arxiv.org/abs/2207.03787
Autor:
Li, Haoran, Ford, Christopher J., Bianchi, Matteo, Catalano, Manuel G., Psomopoulou, Efi, Lepora, Nathan F.
Publikováno v:
IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 8745-8751, Oct. 2022
This paper introduces the BRL/Pisa/IIT (BPI) SoftHand: a single actuator-driven, low-cost, 3D-printed, tendon-driven, underactuated robot hand that can be used to perform a range of grasping tasks. Based on the adaptive synergies of the Pisa/IIT Soft
Externí odkaz:
http://arxiv.org/abs/2206.12655