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pro vyhledávání: '"Dey, Sharmita"'
Autor:
Dey, Sharmita, Paassen, Benjamin, Nair, Sarath Ravindran, Boughorbel, Sabri, Schilling, Arndt F.
Lower limb amputations and neuromuscular impairments severely restrict mobility, necessitating advancements beyond conventional prosthetics. Motorized bionic limbs offer promise, but their utility depends on mimicking the evolving synergy of human mo
Externí odkaz:
http://arxiv.org/abs/2405.01114
Autor:
Dey, Sharmita, Nair, Sarath R.
Publikováno v:
ICLR 2024 Workshop: Learning from Time Series for Health
Mobility impairment caused by limb loss is a significant challenge faced by millions of individuals worldwide. The development of advanced assistive technologies, such as prosthetic devices, has the potential to greatly improve the quality of life fo
Externí odkaz:
http://arxiv.org/abs/2403.06569
Autor:
Dey, Sharmita, Schilling, Arndt F.
This article presents a vision for the future of prosthetic devices, leveraging the advancements in large language models (LLMs) and Large Multimodal Models (LMMs) to revolutionize the interaction between humans and assistive technologies. Unlike tra
Externí odkaz:
http://arxiv.org/abs/2403.04974
Autor:
Vogg, Richard, Lüddecke, Timo, Henrich, Jonathan, Dey, Sharmita, Nuske, Matthias, Hassler, Valentin, Murphy, Derek, Fischer, Julia, Ostner, Julia, Schülke, Oliver, Kappeler, Peter M., Fichtel, Claudia, Gail, Alexander, Treue, Stefan, Scherberger, Hansjörg, Wörgötter, Florentin, Ecker, Alexander S.
Advances in computer vision as well as increasingly widespread video-based behavioral monitoring have great potential for transforming how we study animal cognition and behavior. However, there is still a fairly large gap between the exciting prospec
Externí odkaz:
http://arxiv.org/abs/2401.16424
Autor:
Dixit, Anushri, Fan, David D., Otsu, Kyohei, Dey, Sharmita, Agha-Mohammadi, Ali-Akbar, Burdick, Joel W.
Publikováno v:
Field Robotics, 4, 2024, 182-210
Although autonomy has gained widespread usage in structured and controlled environments, robotic autonomy in unknown and off-road terrain remains a difficult problem. Extreme, off-road, and unstructured environments such as undeveloped wilderness, ca
Externí odkaz:
http://arxiv.org/abs/2303.01614
Autor:
Schmid, Robin, Atha, Deegan, Schöller, Frederik, Dey, Sharmita, Fakoorian, Seyed, Otsu, Kyohei, Ridge, Barry, Bjelonic, Marko, Wellhausen, Lorenz, Hutter, Marco, Agha-mohammadi, Ali-akbar
Navigating off-road with a fast autonomous vehicle depends on a robust perception system that differentiates traversable from non-traversable terrain. Typically, this depends on a semantic understanding which is based on supervised learning from imag
Externí odkaz:
http://arxiv.org/abs/2208.01329
Autor:
Dey, Sharmita, Fan, David, Schmid, Robin, Dixit, Anushri, Otsu, Kyohei, Touma, Thomas, Schilling, Arndt F., Agha-mohammadi, Ali-akbar
Legged robots can traverse a wide variety of terrains, some of which may be challenging for wheeled robots, such as stairs or highly uneven surfaces. However, quadruped robots face stability challenges on slippery surfaces. This can be resolved by ad
Externí odkaz:
http://arxiv.org/abs/2208.00322
Control strategies for active prostheses or orthoses use sensor inputs to recognize the user's locomotive intention and generate corresponding control commands for producing the desired locomotion. In this paper, we propose a learning-based shared mo
Externí odkaz:
http://arxiv.org/abs/2111.07419
Autor:
Dey, Sharmita, Yoshida, Takashi, Foerster, Robert H., Ernst, Michael, Schmalz, Thomas, Carnier, Rodrigo M., Schilling, Arndt F.
Human-machine interfaces (HMI) play a pivotal role in the rehabilitation and daily assistance of lower-limb amputees. The brain of such interfaces is a control model that detects the user's intention using sensor input and generates corresponding out
Externí odkaz:
http://arxiv.org/abs/2110.03085
Publikováno v:
IEEE Robotics and Automation Letters ( Volume: 7, Issue: 1, January 2022)
One of the main challenges in autonomous robotic exploration and navigation in unknown and unstructured environments is determining where the robot can or cannot safely move. A significant source of difficulty in this determination arises from stocha
Externí odkaz:
http://arxiv.org/abs/2107.11722