Zobrazeno 1 - 10
of 254
pro vyhledávání: '"Sun, Yuzhu"'
Autor:
Olayemi, Kabirat, Van, Mien, McLoone, Sean, Sun, Yuzhu, Close, Jack, Nhat, Nguyen Minh, McIlvanna, Stephen
Autonomous ground vehicle (UGV) navigation has the potential to revolutionize the transportation system by increasing accessibility to disabled people, ensure safety and convenience of use. However, UGV requires extensive and efficient testing and ev
Externí odkaz:
http://arxiv.org/abs/2403.15067
Autor:
Sun, Yuzhu, Van, Mien, McIlvanna, Stephen, Nhat, Nguyen Minh, Olayemi, Kabirat, Close, Jack, McLoone, Seán
The evolution and growing automation of collaborative robots introduce more complexity and unpredictability to systems, highlighting the crucial need for robot's adaptability and flexibility to address the increasing complexities of their environment
Externí odkaz:
http://arxiv.org/abs/2403.13090
In advanced manufacturing, strict safety guarantees are required to allow humans and robots to work together in a shared workspace. One of the challenges in this application field is the variety and unpredictability of human behavior, leading to pote
Externí odkaz:
http://arxiv.org/abs/2304.06867
Autor:
Sun, Yuzhu, Van, Mien, McIlvanna, Stephen, Nhat, Nguyen Minh, McLoone, Sean, Ceglarek, Dariusz, Ge, Shuzhi Sam
Physical human-robot collaboration (pHRC) requires both compliance and safety guarantees since robots coordinate with human actions in a shared workspace. This paper presents a novel fixed-time adaptive neural control methodology for handling time-va
Externí odkaz:
http://arxiv.org/abs/2303.02456
Autor:
Van, Mien, Sun, Yuzhu, Mcllvanna, Stephen, Nguyen, Minh-Nhat, Zocco, Federico, Liu, Zhijie, Wang, Hsueh-Cheng
This study proposes a new distributed control method based on an adaptive fuzzy control for multiple collaborative autonomous underwater vehicles (AUVs) to track a desired formation shape within a fixed time. First, a formation control protocol based
Externí odkaz:
http://arxiv.org/abs/2302.14162
In this paper we present the implementation of a Control Barrier Function (CBF) using a quadratic program (QP) formulation that provides obstacle avoidance for a robotic manipulator arm system. CBF is a control technique that has emerged and develope
Externí odkaz:
http://arxiv.org/abs/2211.11391
In this paper, a safety-critical control strategy for a nonholonomic robot is developed to generate control signals that result in optimal, obstacle-free paths through dynamic environments. We formulate the control synthesis problem as an Optimal Con
Externí odkaz:
http://arxiv.org/abs/2211.11348
This paper proposes a novel fixed-time integral sliding mode controller for admittance control to enhance physical human-robot collaboration. The proposed method combines the benefits of compliance to external forces of admittance control and high ro
Externí odkaz:
http://arxiv.org/abs/2208.05065
Physical human-robot collaboration requires strict safety guarantees since robots and humans work in a shared workspace. This letter presents a novel control framework to handle safety-critical position-based constraints for human-robot physical inte
Externí odkaz:
http://arxiv.org/abs/2208.05061
Autor:
Jiang, Man, Sun, Yuzhu, Chen, Mingyue, Ji, Hongfei, Liu, Ying, Qin, Ruijie, Li, Xiyan, Gao, Hongling, Zhang, Ruizhong, Zhang, Libing
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496