Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Chu Xiangyu"'
Publikováno v:
矿业科学学报, Vol 6, Iss 4, Pp 445-452 (2021)
In order to study the flow mechanism of gas in coal particles, four groups of constant pressure adsorption experiments were carried out at different initial pressures, and the experimental data of cumulative gas adsorption volume content with time we
Externí odkaz:
https://doaj.org/article/6e8843bfa9544f8c94e2bf5c1a9fb811
Autor:
Jiang, Zhongliang, Li, Xuesong, Chu, Xiangyu, Karlas, Angelos, Bi, Yuan, Cheng, Yingsheng, Au, K. W. Samuel, Navab, Nassir
Ultrasound-guided percutaneous needle insertion is a standard procedure employed in both biopsy and ablation in clinical practices. However, due to the complex interaction between tissue and instrument, the needle may deviate from the in-plane view,
Externí odkaz:
http://arxiv.org/abs/2407.18357
Publikováno v:
Robotics: Science and Systems 2024
Intelligent vision control systems for surgical robots should adapt to unknown and diverse objects while being robust to system disturbances. Previous methods did not meet these requirements due to mainly relying on pose estimation and feature tracki
Externí odkaz:
http://arxiv.org/abs/2405.17940
Publikováno v:
IEEE Transactions on Robotics, 2023
In robotic deformable object manipulation (DOM) applications, constraints arise commonly from environments and task-specific requirements. Enabling DOM with constraints is therefore crucial for its deployment in practice. However, dealing with constr
Externí odkaz:
http://arxiv.org/abs/2402.11429
Robotic skill learning has been increasingly studied but the demonstration collections are more challenging compared to collecting images/videos in computer vision and texts in natural language processing. This paper presents a skill learning paradig
Externí odkaz:
http://arxiv.org/abs/2311.06543
This paper proposes an interactive navigation framework by using large language and vision-language models, allowing robots to navigate in environments with traversable obstacles. We utilize the large language model (GPT-3.5) and the open-set Vision-
Externí odkaz:
http://arxiv.org/abs/2310.08873
Needle picking is a challenging manipulation task in robot-assisted surgery due to the characteristics of small slender shapes of needles, needles' variations in shapes and sizes, and demands for millimeter-level control. Prior works, heavily relying
Externí odkaz:
http://arxiv.org/abs/2303.03675
Projected Inverse Dynamics Control (PIDC) is commonly used in robots subject to contact, especially in quadrupedal systems. Many methods based on such dynamics have been developed for quadrupedal locomotion tasks, and only a few works studied simple
Externí odkaz:
http://arxiv.org/abs/2210.10238
Autor:
Lin, Hongbin, Gao, Qian, Chu, Xiangyu, Dou, Qi, Deguet, Anton, Kazanzides, Peter, Au, K. W. Samuel
Publikováno v:
IEEE ROBOTICS AND AUTOMATION LETTERS, VOL. 6, NO. 2, APRIL 2021
Learning high-performance deep neural networks for dynamic modeling of high Degree-Of-Freedom (DOF) robots remains challenging due to the sampling complexity. Typical unknown system disturbance caused by unmodeled dynamics (such as internal complianc
Externí odkaz:
http://arxiv.org/abs/2210.01398
Publikováno v:
2023 IEEE International Conference on Robotics and Automation (ICRA)
Falling cat problem is well-known where cats show their super aerial reorientation capability and can land safely. For their robotic counterparts, a similar falling quadruped robot problem, has not been fully addressed, although achieving safe landin
Externí odkaz:
http://arxiv.org/abs/2209.15337