Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Liu, Junjia"'
Human bimanual manipulation can perform more complex tasks than a simple combination of two single arms, which is credited to the spatio-temporal coordination between the arms. However, the description of bimanual coordination is still an open topic
Externí odkaz:
http://arxiv.org/abs/2307.05933
Soft object manipulation tasks in domestic scenes pose a significant challenge for existing robotic skill learning techniques due to their complex dynamics and variable shape characteristics. Since learning new manipulation skills from human demonstr
Externí odkaz:
http://arxiv.org/abs/2306.12677
Embodied AI is an inevitable trend that emphasizes the interaction between intelligent entities and the real world, with broad applications in Robotics, especially target-driven navigation. This task requires the robot to find an object of a certain
Externí odkaz:
http://arxiv.org/abs/2301.02382
Publikováno v:
Intelligent Robotics and Applications. ICIRA 2022.vol 13455.pp from 627 to 636
Bimanual activities like coffee stirring, which require coordination of dual arms, are common in daily life and intractable to learn by robots. Adopting reinforcement learning to learn these tasks is a promising topic since it enables the robot to ex
Externí odkaz:
http://arxiv.org/abs/2211.02243
Autor:
Liu, Junjia, Chen, Yiting, Dong, Zhipeng, Wang, Shixiong, Calinon, Sylvain, Li, Miao, Chen, Fei
Publikováno v:
IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 5159-5166, April 2022
This letter describes an approach to achieve well-known Chinese cooking art stir-fry on a bimanual robot system. Stir-fry requires a sequence of highly dynamic coordinated movements, which is usually difficult to learn for a chef, let alone transfer
Externí odkaz:
http://arxiv.org/abs/2205.05960
Autor:
Liu, Junjia, Lu, Xinyi, Zeng, Siyu, Fu, Rong, Wang, Xindong, Luo, Lingtao, Huang, Ting, Deng, Xusheng, Zheng, Hualei, Ma, Shaoqian, Ning, Dan, Zong, Lili, Lin, Shu-Hai, Zhang, Yongyou
Publikováno v:
In Redox Biology May 2024 71
Autor:
Liu, Yimin, Xu, Yishu, Ya, Yuchen, Sun, Boyu, Liu, Junjia, Ding, Hongyuan, Xie, Jianghui, Cheng, Xiaobei
Publikováno v:
In International Journal of Hydrogen Energy 15 February 2024 55:1217-1233
Autor:
Liu, Yimin, Xu, Yishu, Liu, Junjia, Xiang, Mingyuan, Sun, Boyu, Ya, Yuchen, Guo, Zheng, Cheng, Xiaobei
Publikováno v:
In International Journal of Hydrogen Energy 2 January 2024 50 Part C:765-785
Precise trajectory prediction of surrounding vehicles is critical for decision-making of autonomous vehicles and learning-based approaches are well recognized for the robustness. However, state-of-the-art learning-based methods ignore 1) the feasibil
Externí odkaz:
http://arxiv.org/abs/2003.03480
Autor:
Liu, Junjia, Shou, Jiaying, Fu, Zhuang, Zhou, Hangfei, Xie, Rongli, Zhang, Jun, Fei, Jian, Zhao, Yanna
Compared to rigid robots that are generally studied in reinforcement learning, the physical characteristics of some sophisticated robots such as soft or continuum robots are higher complicated. Moreover, recent reinforcement learning methods are data
Externí odkaz:
http://arxiv.org/abs/2002.11573