Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Mehta Ankur"'
In limbed robotics, end-effectors must serve dual functions, such as both feet for locomotion and grippers for grasping, which presents design challenges. This paper introduces a multi-modal end-effector capable of transitioning between flat and line
Externí odkaz:
http://arxiv.org/abs/2410.17524
We developed a new class of soft locomotive robots that can self-assemble into a preprogrammed configuration and vary their stiffness afterward in a highly integrated, compact body using contracting-cord particle jamming (CCPJ). We demonstrate this w
Externí odkaz:
http://arxiv.org/abs/2410.02974
Autor:
Wu, Zida, Mehta, Ankur
A crucial challenge in decentralized systems is state estimation in the presence of unknown inputs, particularly within heterogeneous sensor networks with dynamic topologies. While numerous consensus algorithms have been introduced, they often requir
Externí odkaz:
http://arxiv.org/abs/2410.00272
Autor:
Yan, Wenzhong, Jones, Talmage, Jawetz, Christopher L., Lee, Ryan H., Hopkins, Jonathan B., Mehta, Ankur
Publikováno v:
Materials Horizons (2024)
Recent advances in active materials and fabrication techniques have enabled the production of cyclically self-deployable metamaterials with an expanded functionality space. However, designing metamaterials that possess continuously tunable mechanical
Externí odkaz:
http://arxiv.org/abs/2407.06362
Autor:
Wu, Zida, Lauriere, Mathieu, Chua, Samuel Jia Cong, Geist, Matthieu, Pietquin, Olivier, Mehta, Ankur
Mean Field Games (MFGs) have the ability to handle large-scale multi-agent systems, but learning Nash equilibria in MFGs remains a challenging task. In this paper, we propose a deep reinforcement learning (DRL) algorithm that achieves population-depe
Externí odkaz:
http://arxiv.org/abs/2403.03552
Researchers have long touted a vision of the future enabled by a proliferation of internet-of-things devices, including smart sensors, homes, and cities. Increasingly, embedding intelligence in such devices involves the use of deep neural networks. H
Externí odkaz:
http://arxiv.org/abs/2310.07940
Autor:
Tanaka, Yusuke, Mehta, Ankur
This paper introduces REMS, a robotics middleware and control framework that is designed to introduce the Zen of Python to robotics and to improve robotics education and development flow. Although existing middleware can serve hardware abstraction an
Externí odkaz:
http://arxiv.org/abs/2210.05784
Publikováno v:
Lung India, Vol 26, Iss 4, Pp 149-151 (2009)
We present a series of three cases of survival following inhalation of nitric acid fumes, which resulted in acute respiratory distress. Inhalation of nitric acid fumes and its decomposition gases such as nitrogen dioxide results in delayed onset of a
Externí odkaz:
https://doaj.org/article/cf24b796510e4aa1ae77aac6ea7a8466
Autor:
Yan, Wenzhong, Mehta, Ankur
Publikováno v:
2022 IEEE 5th International Conference on Soft Robotics (RoboSoft)
Locomotive robots that do not rely on electronics and/or electromagnetic components will open up new perspectives and applications for robotics. However, these robots usually involve complicated and tedious fabrication processes, limiting their appli
Externí odkaz:
http://arxiv.org/abs/2202.03497
Publikováno v:
In 2022 International Conference on Robotics and Automation (ICRA) (pp. 1675-1681). IEEE
Modern autonomous systems are purposed for many challenging scenarios, where agents will face unexpected events and complicated tasks. The presence of disturbance noise with control command and unknown inputs can negatively impact robot performance.
Externí odkaz:
http://arxiv.org/abs/2111.08091