Zobrazeno 1 - 10
of 552
pro vyhledávání: '"Liu, Zeyi"'
Autor:
Hou, Yifan, Liu, Zeyi, Chi, Cheng, Cousineau, Eric, Kuppuswamy, Naveen, Feng, Siyuan, Burchfiel, Benjamin, Song, Shuran
Compliance plays a crucial role in manipulation, as it balances between the concurrent control of position and force under uncertainties. Yet compliance is often overlooked by today's visuomotor policies that solely focus on position control. This pa
Externí odkaz:
http://arxiv.org/abs/2410.09309
Autor:
Liu, Zeyi, Chi, Cheng, Cousineau, Eric, Kuppuswamy, Naveen, Burchfiel, Benjamin, Song, Shuran
Audio signals provide rich information for the robot interaction and object properties through contact. This information can surprisingly ease the learning of contact-rich robot manipulation skills, especially when the visual information alone is amb
Externí odkaz:
http://arxiv.org/abs/2406.19464
Autor:
Li, Junze, Hu, Junchao, Luo, Ting, Chen, Dongliang, Chen, Yingying, Liu, Zeyi, Gao, Dingshan, Wen, Xinglin, Li, Dehui
Active optical waveguides combine light source and waveguides together in an individual component, which are essential for the integrated photonic chips. Although 1D luminescent materials based optical waveguides were extensively investigated, 2D wav
Externí odkaz:
http://arxiv.org/abs/2404.05138
Robot-to-human object handover is an important step in many human robot collaboration tasks. A successful handover requires the robot to maintain a stable grasp on the object while making sure the human receives the object in a natural and easy-to-us
Externí odkaz:
http://arxiv.org/abs/2404.01402
The gearbox is a critical component of electromechanical systems. The occurrence of multiple faults can significantly impact system accuracy and service life. The vibration signal of the gearbox is an effective indicator of its operational status and
Externí odkaz:
http://arxiv.org/abs/2403.12521
The ability to detect and analyze failed executions automatically is crucial for an explainable and robust robotic system. Recently, Large Language Models (LLMs) have demonstrated strong reasoning abilities on textual inputs. To leverage the power of
Externí odkaz:
http://arxiv.org/abs/2306.15724
Fault diagnosis is a crucial area of research in industry. Industrial processes exhibit diverse operating conditions, where data often have non-Gaussian, multi-mode, and center-drift characteristics. Data-driven approaches are currently the main focu
Externí odkaz:
http://arxiv.org/abs/2305.00169
Real-time safety assessment (RTSA) of dynamic systems is a critical task that has significant implications for various fields such as industrial and transportation applications, especially in non-stationary environments. However, the absence of a com
Externí odkaz:
http://arxiv.org/abs/2304.12583
Concept drift detection has attracted considerable attention due to its importance in many real-world applications such as health monitoring and fault diagnosis. Conventionally, most advanced approaches will be of poor performance when the evaluation
Externí odkaz:
http://arxiv.org/abs/2303.16906
The coupled spin-valley physics in transition metal dichalcogenides (TMDs) endows exciton states with valley degrees of freedom, making them promising for valleytronic applications in TMDs monolayers and/or their heterostructures. Although the valley
Externí odkaz:
http://arxiv.org/abs/2212.02803