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pro vyhledávání: '"Su, Shaoshu"'
Autor:
Wang, Chen, Ji, Kaiyi, Geng, Junyi, Ren, Zhongqiang, Fu, Taimeng, Yang, Fan, Guo, Yifan, He, Haonan, Chen, Xiangyu, Zhan, Zitong, Du, Qiwei, Su, Shaoshu, Li, Bowen, Qiu, Yuheng, Du, Yi, Li, Qihang, Yang, Yifan, Lin, Xiao, Zhao, Zhipeng
Data-driven methods such as reinforcement and imitation learning have achieved remarkable success in robot autonomy. However, their data-centric nature still hinders them from generalizing well to ever-changing environments. Moreover, collecting larg
Externí odkaz:
http://arxiv.org/abs/2406.16087
Autor:
Zhan, Zitong, Li, Xiangfu, Li, Qihang, He, Haonan, Pandey, Abhinav, Xiao, Haitao, Xu, Yangmengfei, Chen, Xiangyu, Xu, Kuan, Cao, Kun, Zhao, Zhipeng, Wang, Zihan, Xu, Huan, Fang, Zihang, Chen, Yutian, Wang, Wentao, Fang, Xu, Du, Yi, Wu, Tianhao, Lin, Xiao, Qiu, Yuheng, Yang, Fan, Shi, Jingnan, Su, Shaoshu, Lu, Yiren, Fu, Taimeng, Dantu, Karthik, Wu, Jiajun, Xie, Lihua, Hutter, Marco, Carlone, Luca, Scherer, Sebastian, Huang, Daning, Hu, Yaoyu, Geng, Junyi, Wang, Chen
PyPose is an open-source library for robot learning. It combines a learning-based approach with physics-based optimization, which enables seamless end-to-end robot learning. It has been used in many tasks due to its meticulously designed application
Externí odkaz:
http://arxiv.org/abs/2309.13035
Autor:
Zhao, Shibo, Gao, Yuanjun, Wu, Tianhao, Singh, Damanpreet, Jiang, Rushan, Sun, Haoxiang, Sarawata, Mansi, Qiu, Yuheng, Whittaker, Warren, Higgins, Ian, Du, Yi, Su, Shaoshu, Xu, Can, Keller, John, Karhade, Jay, Nogueira, Lucas, Saha, Sourojit, Zhang, Ji, Wang, Wenshan, Wang, Chen, Scherer, Sebastian
Publikováno v:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, WA, June 2024
Simultaneous localization and mapping (SLAM) is a fundamental task for numerous applications such as autonomous navigation and exploration. Despite many SLAM datasets have been released, current SLAM solutions still struggle to have sustained and res
Externí odkaz:
http://arxiv.org/abs/2307.07607
Simultaneous Localization and Mapping (SLAM) stands as one of the critical challenges in robot navigation. A SLAM system often consists of a front-end component for motion estimation and a back-end system for eliminating estimation drifts. Recent adv
Externí odkaz:
http://arxiv.org/abs/2306.07894
Autonomous racing control is a challenging research problem as vehicles are pushed to their limits of handling to achieve an optimal lap time; therefore, vehicles exhibit highly nonlinear and complex dynamics. Difficult-to-model effects, such as drif
Externí odkaz:
http://arxiv.org/abs/2305.07740
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Akademický článek
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