Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Mishra, Utkarsh"'
Autor:
Jung, Wonsuhk, Anthony, Dennis, Mishra, Utkarsh A., Arachchige, Nadun Ranawaka, Bronars, Matthew, Xu, Danfei, Kousik, Shreyas
Imitation learning (IL) has shown great success in learning complex robot manipulation tasks. However, there remains a need for practical safety methods to justify widespread deployment. In particular, it is important to certify that a system obeys h
Externí odkaz:
http://arxiv.org/abs/2409.19190
Learning to plan for multi-step, multi-manipulator tasks is notoriously difficult because of the large search space and the complex constraint satisfaction problems. We present Generative Factor Chaining~(GFC), a composable generative model for plann
Externí odkaz:
http://arxiv.org/abs/2409.16275
Autor:
Montenegro, Victor, Mukhopadhyay, Chiranjib, Yousefjani, Rozhin, Sarkar, Saubhik, Mishra, Utkarsh, Paris, Matteo G. A., Bayat, Abolfazl
The main power of quantum sensors is achieved when the probe is composed of several particles. In this situation, quantum features such as entanglement contribute in enhancing the precision of quantum sensors beyond the capacity of classical sensors.
Externí odkaz:
http://arxiv.org/abs/2408.15323
Autor:
Kasatkin, Victor, Mozgunov, Evgeny, Ezzell, Nicholas, Mishra, Utkarsh, Hen, Itay, Lidar, Daniel
Estimation of the Fisher Information Metric (FIM-estimation) is an important task that arises in unsupervised learning of phase transitions, a problem proposed by physicists. This work completes the definition of the task by defining rigorous evaluat
Externí odkaz:
http://arxiv.org/abs/2408.03323
Long-horizon tasks, usually characterized by complex subtask dependencies, present a significant challenge in manipulation planning. Skill chaining is a practical approach to solving unseen tasks by combining learned skill priors. However, such metho
Externí odkaz:
http://arxiv.org/abs/2401.03360
Publikováno v:
Phys. Rev. A 109, L030601 (2024)
We show that the delocalization-localization transition in a quantum-many body (QMB) systems is a compelling quantum resource for achieving quantum-enhanced sensitivity in parameter estimation. We exploit the vulnerability of a near-transition QMB st
Externí odkaz:
http://arxiv.org/abs/2305.02315
Autor:
Mishra, Utkarsh A., Chen, Yongxin
The ability to manipulate objects in a desired configurations is a fundamental requirement for robots to complete various practical applications. While certain goals can be achieved by picking and placing the objects of interest directly, object reor
Externí odkaz:
http://arxiv.org/abs/2303.12700
Recent works in end-to-end control for autonomous driving have investigated the use of vision-based exteroceptive perception. Inspired by such results, we propose a new end-to-end memory-based neural architecture for robot steering and throttle contr
Externí odkaz:
http://arxiv.org/abs/2205.12124
Publikováno v:
In Alexandria Engineering Journal December 2024 108:764-788
Publikováno v:
Phys. Rev. B 105, 094311 (2022)
We study a generic class of fermionic two-band models under synchronized periodic driving, i.e., with the different terms in a Hamiltonian subject to periodic drives with the same frequency and phase. With all modes initially in a maximally mixed sta
Externí odkaz:
http://arxiv.org/abs/2111.09926