Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Wen, Chengtao"'
Tactile and textile skin technologies have become increasingly important for enhancing human-robot interaction and allowing robots to adapt to different environments. Despite notable advancements, there are ongoing challenges in skin signal processin
Externí odkaz:
http://arxiv.org/abs/2404.15131
Autor:
Agarwal, Arpit, Ajith, Abhiroop, Wen, Chengtao, Stryzheus, Veniamin, Miller, Brian, Chen, Matthew, Johnson, Micah K., Rincon, Jose Luis Susa, Rosca, Justinian, Yuan, Wenzhen
In manufacturing processes, surface inspection is a key requirement for quality assessment and damage localization. Due to this, automated surface anomaly detection has become a promising area of research in various industrial inspection systems. A p
Externí odkaz:
http://arxiv.org/abs/2309.04590
Applying intelligent robot arms in dynamic uncertain environments (i.e., flexible production lines) remains challenging, which requires efficient algorithms for real time trajectory generation. The motion planning problem for robot trajectory generat
Externí odkaz:
http://arxiv.org/abs/2008.03826
Subgraph matching is the problem of determining the presence and location(s) of a given query graph in a large target graph. Despite being an NP-complete problem, the subgraph matching problem is crucial in domains ranging from network science and da
Externí odkaz:
http://arxiv.org/abs/2007.03092
Autor:
Chandak, Shubham, Tatwawadi, Kedar, Wen, Chengtao, Wang, Lingyun, Aparicio, Juan, Weissman, Tsachy
Time series data compression is emerging as an important problem with the growth in IoT devices and sensors. Due to the presence of noise in these datasets, lossy compression can often provide significant compression gains without impacting the perfo
Externí odkaz:
http://arxiv.org/abs/1911.00208
Autor:
Luo, Jianlan, Solowjow, Eugen, Wen, Chengtao, Ojea, Juan Aparicio, Agogino, Alice M., Tamar, Aviv, Abbeel, Pieter
Precise robotic manipulation skills are desirable in many industrial settings, reinforcement learning (RL) methods hold the promise of acquiring these skills autonomously. In this paper, we explicitly consider incorporating operational space force/to
Externí odkaz:
http://arxiv.org/abs/1903.01066
Publikováno v:
In Automatica 2009 45(4):910-917
Autor:
Wen, Chengtao, Ydstie, B. Erik
Publikováno v:
In IFAC Proceedings Volumes 2008 41(2):7010-7015
Autor:
Wen, Chengtao, Ma, Xiaoyan
Publikováno v:
In Neurocomputing 2008 71(4):843-852
Autor:
Aviv Tamar, Wen Chengtao, Alice M. Agogino, Juan Aparicio Ojea, Jianlan Luo, Eugen Solowjow, Pieter Abbeel
Publikováno v:
ICRA
Precise robotic manipulation skills are desirable in many industrial settings, reinforcement learning (RL) methods hold the promise of acquiring these skills autonomously. In this paper, we explicitly consider incorporating operational space force/to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cf5ff27794d3e35d02be80123c2d4cf