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pro vyhledávání: '"Damanik, Joshua Julian"'
Air traffic trajectory recognition has gained significant interest within the air traffic management community, particularly for fundamental tasks such as classification and clustering. This paper introduces Aircraft Trajectory Segmentation-based Con
Externí odkaz:
http://arxiv.org/abs/2407.20028
Autor:
Xiao, Xuesu, Xu, Zifan, Datar, Aniket, Warnell, Garrett, Stone, Peter, Damanik, Joshua Julian, Jung, Jaewon, Deresa, Chala Adane, Huy, Than Duc, Jinyu, Chen, Yichen, Chen, Cahyono, Joshua Adrian, Wu, Jingda, Mo, Longfei, Lv, Mingyang, Lan, Bowen, Meng, Qingyang, Tao, Weizhi, Cheng, Li
The 3rd BARN (Benchmark Autonomous Robot Navigation) Challenge took place at the 2024 IEEE International Conference on Robotics and Automation (ICRA 2024) in Yokohama, Japan and continued to evaluate the performance of state-of-the-art autonomous gro
Externí odkaz:
http://arxiv.org/abs/2407.01862
In this letter, we propose a robust and fast navigation system in a narrow indoor environment for UGV (Unmanned Ground Vehicle) using 2D LiDAR and odometry. We used behavior cloning with Transformer neural network to learn the optimization-based base
Externí odkaz:
http://arxiv.org/abs/2406.14947
Autor:
Xiao, Xuesu, Xu, Zifan, Datar, Aniket, Warnell, Garrett, Stone, Peter, Damanik, Joshua Julian, Jung, Jaewon, Deresa, Chala Adane, Huy, Than Duc, Jinyu, Chen, Yichen, Chen, Cahyono, Joshua Adrian, Wu, Jingda, Mo, Longfei, Lv, Mingyang, Lan, Bowen, Meng, Qingyang, Tao, Weizhi, Cheng, Li
Publikováno v:
IEEE Robotics & Automation Magazine; September 2024, Vol. 31 Issue: 3 p197-204, 8p
Akademický článek
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