Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Chi Wanchao"'
Autor:
Shi, Lei, Yu, Xinghua, Zhou, Cheng, Jin, Wanxin, Chi, Wanchao, Zhang, Shenghao, Zhang, Dongsheng, Li, Xiong, Zhang, Zhengyou
This article propose a whole-body impedance coordinative control framework for a wheel-legged humanoid robot to achieve adaptability on complex terrains while maintaining robot upper body stability. The framework contains a bi-level control strategy.
Externí odkaz:
http://arxiv.org/abs/2411.09935
In nature, legged animals have developed the ability to adapt to challenging terrains through perception, allowing them to plan safe body and foot trajectories in advance, which leads to safe and energy-efficient locomotion. Inspired by this observat
Externí odkaz:
http://arxiv.org/abs/2310.04675
Autor:
Han, Lei, Zhu, Qingxu, Sheng, Jiapeng, Zhang, Chong, Li, Tingguang, Zhang, Yizheng, Zhang, He, Liu, Yuzhen, Zhou, Cheng, Zhao, Rui, Li, Jie, Zhang, Yufeng, Wang, Rui, Chi, Wanchao, Li, Xiong, Zhu, Yonghui, Xiang, Lingzhu, Teng, Xiao, Zhang, Zhengyou
Publikováno v:
Nature Machine Intelligence, Vol. 7, 2024
Knowledge from animals and humans inspires robotic innovations. Numerous efforts have been made to achieve agile locomotion in quadrupedal robots through classical controllers or reinforcement learning approaches. These methods usually rely on physic
Externí odkaz:
http://arxiv.org/abs/2308.15143
Autor:
Li, Tingguang, Zhang, Yizheng, Zhang, Chong, Zhu, Qingxu, sheng, Jiapeng, Chi, Wanchao, Zhou, Cheng, Han, Lei
In this paper, we present a general learning framework for controlling a quadruped robot that can mimic the behavior of real animals and traverse challenging terrains. Our method consists of two steps: an imitation learning step to learn from motions
Externí odkaz:
http://arxiv.org/abs/2308.03273
Gaze is the essential manifestation of human attention. In recent years, a series of work has achieved high accuracy in gaze estimation. However, the inter-personal difference limits the reduction of the subject-independent gaze estimation error. Thi
Externí odkaz:
http://arxiv.org/abs/2011.07526
In recognition-based action interaction, robots' responses to human actions are often pre-designed according to recognized categories and thus stiff. In this paper, we specify a new Interactive Action Translation (IAT) task which aims to learn end-to
Externí odkaz:
http://arxiv.org/abs/2007.08071
Autor:
Song, Ziyang, Yin, Ziyi, Yuan, Zejian, Zhang, Chong, Chi, Wanchao, Ling, Yonggen, Zhang, Shenghao
Despite the notable progress made in action recognition tasks, not much work has been done in action recognition specifically for human-robot interaction. In this paper, we deeply explore the characteristics of the action recognition task in interact
Externí odkaz:
http://arxiv.org/abs/2007.01065
Akademický článek
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Akademický článek
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Autor:
Zhou, Qinqin, Yang, Sicheng, Jiang, Xinyang, Zhang, Dongsheng, Chi, Wanchao, Chen, Ke, Zhang, Shenghao, Li, Jie, Zhang, Jingfan, Wang, Rui, Li, Jingchen, Zhang, Yufeng, Wang, Haitao, Wang, Shuai, Xiang, Lingzhu, Zheng, Yu, Zhang, Zhengyou
Publikováno v:
IEEE Transactions on Automation Science and Engineering: A Publication of the IEEE Robotics and Automation Society; October 2024, Vol. 21 Issue: 4 p7562-7582, 21p
