Zobrazeno 1 - 10
of 38 388
pro vyhledávání: '"Carmel, A."'
Performing long-term experimentation or large-scale data collection for machine learning in the field of soft robotics is challenging, due to the hardware robustness and experimental flexibility required. In this work, we propose a modular parallel r
Externí odkaz:
http://arxiv.org/abs/2409.03614
Light-induced mechanical deformations in single-domain (PbTiO$_{3}$)$_{n}$/(SrTiO$_{3}$)$_{m}$ superlattices were simulated using first-principle calculations. By varying the chemical fraction PbTiO$_{3}$, we discover that these heterostructures' pho
Externí odkaz:
http://arxiv.org/abs/2408.00105
We report systematic first-principles investigation of light-induced mechanical deformations in monodomain (PbTiO$_{3}$)$_{n}$/(SrTiO$_{3}$)$_{n}$ superlattices ($n=1-5$). We reveal that photostriction in these heterostructures quantitatively and qua
Externí odkaz:
http://arxiv.org/abs/2408.00101
Autor:
Tyagi, Vishweshwar, Murray, Lynda M., Asan, Ahmet S., Mandigo, Christopher, Virk, Michael S., Harel, Noam Y., Carmel, Jason B., McIntosh, James R.
Electromagnetic stimulation probes and modulates the neural systems that control movement. Key to understanding their effects is the muscle recruitment curve, which maps evoked potential size against stimulation intensity. Current methods to estimate
Externí odkaz:
http://arxiv.org/abs/2407.08709
Autor:
Baharav, Carmel, Flanigan, Bailey
Sortition, the random selection of political representatives, is increasingly being used around the world to choose participants of deliberative processes like Citizens' Assemblies. Motivated by sortition's practical importance, there has been a rece
Externí odkaz:
http://arxiv.org/abs/2406.15009
Multi-agent path finding (MAPF) is the problem of finding paths for multiple agents such that they do not collide. This problem manifests in numerous real-world applications such as controlling transportation robots in automated warehouses, moving ch
Externí odkaz:
http://arxiv.org/abs/2406.10827
Autor:
Greshler, Nir, Eli, David Ben, Rabinovitz, Carmel, Guetta, Gabi, Gispan, Liran, Zohar, Guy, Tamar, Aviv
The combination of Monte Carlo tree search and neural networks has revolutionized online planning. As neural network approximations are often imperfect, we ask whether uncertainty estimates about the network outputs could be used to improve planning.
Externí odkaz:
http://arxiv.org/abs/2406.02103
Autor:
Padmanabha, Akhil, Yuan, Jessie, Gupta, Janavi, Karachiwalla, Zulekha, Majidi, Carmel, Admoni, Henny, Erickson, Zackory
Physically assistive robots present an opportunity to significantly increase the well-being and independence of individuals with motor impairments or other forms of disability who are unable to complete activities of daily living. Speech interfaces,
Externí odkaz:
http://arxiv.org/abs/2404.04066
Autor:
Khandagale, Pratik, Garcia-Cervera, Carlos, deBotton, Gal, Breitzman, Timothy, Majidi, Carmel, Dayal, Kaushik
Publikováno v:
Physical Review E 109:044501, 2024
The electromechanical response of polymeric soft matter to applied electric fields is of fundamental scientific interest as well as relevant to technologies for sensing and actuation. Several existing theoretical and numerical approaches for polariza
Externí odkaz:
http://arxiv.org/abs/2404.02848
Autor:
Bhirangi, Raunaq, Wang, Chenyu, Pattabiraman, Venkatesh, Majidi, Carmel, Gupta, Abhinav, Hellebrekers, Tess, Pinto, Lerrel
Reasoning from sequences of raw sensory data is a ubiquitous problem across fields ranging from medical devices to robotics. These problems often involve using long sequences of raw sensor data (e.g. magnetometers, piezoresistors) to predict sequence
Externí odkaz:
http://arxiv.org/abs/2402.10211