Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Rojas, Nicolás"'
Autor:
Chappell, Digby, Mulvey, Barry, Perera, Shehara, Bello, Fernando, Kormushev, Petar, Rojas, Nicolas
Despite decades of research and development, myoelectric prosthetic hands lack functionality and are often rejected by users. This lack in functionality can be attributed to the widely accepted anthropomorphic design ideology in the field; attempting
Externí odkaz:
http://arxiv.org/abs/2409.15589
Autor:
Chappell, Digby, Yang, Zeyu, Clark, Angus B., Berkovic, Alexandre, Laganier, Colin, Baxter, Weston, Bello, Fernando, Kormushev, Petar, Rojas, Nicolas
Myoelectric prosthetic hands are typically controlled to move between discrete positions and do not provide sensory feedback to the user. In this work, we present and evaluate a closed-loop, continuous myoelectric prosthetic hand controller, that can
Externí odkaz:
http://arxiv.org/abs/2409.15578
End-to-end robot learning, particularly for long-horizon tasks, often results in unpredictable outcomes and poor generalization. To address these challenges, we propose a novel Therblig-based Backbone Framework (TBBF) to enhance robot task understand
Externí odkaz:
http://arxiv.org/abs/2408.01334
Autor:
Clark, Angus B., Rojas, Nicolas
Publikováno v:
IEEE Transactions on Robotics, vol. 38, no. 6, pp. 3832-3849, Dec. 2022
Through the implementation of reconfigurability to achieve flexibility and adaptation to tasks by morphology changes rather than by increasing the number of joints, malleable robots present advantages over traditional serial robot arms in regards to
Externí odkaz:
http://arxiv.org/abs/2407.02374
Autor:
Clark, Angus B., Rojas, Nicolas
Publikováno v:
2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 3969-3975
Robotic arms built from stiffness-adjustable, continuously bending segments serially connected with revolute joints have the ability to change their mechanical architecture and workspace, thus allowing high flexibility and adaptation to different tas
Externí odkaz:
http://arxiv.org/abs/2404.09653
Publikováno v:
IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 2538-2545, April 2020
While the grasping capability of robotic grippers has shown significant development, the ability to manipulate objects within the hand is still limited. One explanation for this limitation is the lack of controlled contact variation between the grasp
Externí odkaz:
http://arxiv.org/abs/2404.09644
Autor:
Wang, Xinran, Rojas, Nicolas
This paper introduces a Cosserat rod based mathematical model for modeling a self-controllable variable curvature soft continuum robot. This soft continuum robot has a hollow inner channel and was developed with the ability to perform variable curvat
Externí odkaz:
http://arxiv.org/abs/2402.12315
Autor:
Chen, Wei, Rojas, Nicolas
Approaching robotic cloth manipulation using reinforcement learning based on visual feedback is appealing as robot perception and control can be learned simultaneously. However, major challenges result due to the intricate dynamics of cloth and the h
Externí odkaz:
http://arxiv.org/abs/2401.13362
Object recognition and object pose estimation in robotic grasping continue to be significant challenges, since building a labelled dataset can be time consuming and financially costly in terms of data collection and annotation. In this work, we propo
Externí odkaz:
http://arxiv.org/abs/2401.13405
Publikováno v:
IEEE Robotics and Automation Letters 2024
The manipulation of garments poses research challenges due to their deformable nature and the extensive variability in shapes and sizes. Despite numerous attempts by researchers to address these via approaches involving robot perception and control,
Externí odkaz:
http://arxiv.org/abs/2401.10702