Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Yang, Lizhi"'
Autor:
Huang, Xiaoyu, Li, Zhongyu, Xiang, Yanzhen, Ni, Yiming, Chi, Yufeng, Li, Yunhao, Yang, Lizhi, Peng, Xue Bin, Sreenath, Koushil
We present a reinforcement learning (RL) framework that enables quadrupedal robots to perform soccer goalkeeping tasks in the real world. Soccer goalkeeping using quadrupeds is a challenging problem, that combines highly dynamic locomotion with preci
Externí odkaz:
http://arxiv.org/abs/2210.04435
Autor:
Feng, Gilbert, Zhang, Hongbo, Li, Zhongyu, Peng, Xue Bin, Basireddy, Bhuvan, Yue, Linzhu, Song, Zhitao, Yang, Lizhi, Liu, Yunhui, Sreenath, Koushil, Levine, Sergey
Recent years have seen a surge in commercially-available and affordable quadrupedal robots, with many of these platforms being actively used in research and industry. As the availability of legged robots grows, so does the need for controllers that e
Externí odkaz:
http://arxiv.org/abs/2209.05309
Autor:
Zhang, Chong, Yang, Lizhi
Terrain-aware locomotion has become an emerging topic in legged robotics. However, it is hard to generate diverse, challenging, and realistic unstructured terrains in simulation, which limits the way researchers evaluate their locomotion policies. In
Externí odkaz:
http://arxiv.org/abs/2208.07681
Autor:
Yang, Chenyu, Sue, Guo Ning, Li, Zhongyu, Yang, Lizhi, Shen, Haotian, Chi, Yufeng, Rai, Akshara, Zeng, Jun, Sreenath, Koushil
This paper tackles the problem of robots collaboratively towing a load with cables to a specified goal location while avoiding collisions in real time. The introduction of cables (as opposed to rigid links) enables the robotic team to travel through
Externí odkaz:
http://arxiv.org/abs/2206.14424
In this paper, we propose a multi-domain control parameter learning framework that combines Bayesian Optimization (BO) and Hybrid Zero Dynamics (HZD) for locomotion control of bipedal robots. We leverage BO to learn the control parameters used in the
Externí odkaz:
http://arxiv.org/abs/2203.02570
Publikováno v:
In Applied Energy 1 January 2025 377 Part D
Object detection using aerial drone imagery has received a great deal of attention in recent years. While visible light images are adequate for detecting objects in most scenarios, thermal cameras can extend the capabilities of object detection to ni
Externí odkaz:
http://arxiv.org/abs/2201.03786
Autor:
Chen, Zhiguang1,2 (AUTHOR), Yang, Lizhi1,2 (AUTHOR), Yang, Zhimin2,3 (AUTHOR), Wang, Zihua2,3 (AUTHOR) wangzh@iccas.ac.cn, He, Wen1 (AUTHOR) hewen@bjtth.org, Zhang, Wei1 (AUTHOR) ultrazw@sina.com
Publikováno v:
Journal of Nanobiotechnology. 6/25/2024, Vol. 22 Issue 1, p1-17. 17p.
Autor:
Gilroy, Scott, Lau, Derek, Yang, Lizhi, Izaguirre, Ed, Biermayer, Kristen, Xiao, Anxing, Sun, Mengti, Agrawal, Ayush, Zeng, Jun, Li, Zhongyu, Sreenath, Koushil
Quadrupeds are strong candidates for navigating challenging environments because of their agile and dynamic designs. This paper presents a methodology that extends the range of exploration for quadrupedal robots by creating an end-to-end navigation f
Externí odkaz:
http://arxiv.org/abs/2107.00773
An autonomous robot that is able to physically guide humans through narrow and cluttered spaces could be a big boon to the visually-impaired. Most prior robotic guiding systems are based on wheeled platforms with large bases with actuated rigid guidi
Externí odkaz:
http://arxiv.org/abs/2103.14300