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pro vyhledávání: '"Mohammad, Nicholas"'
For autonomous mobile robots, uncertainties in the environment and system model can lead to failure in the motion planning pipeline, resulting in potential collisions. In order to achieve a high level of robust autonomy, these robots should be able t
Externí odkaz:
http://arxiv.org/abs/2402.01617
Current motion planning approaches for autonomous mobile robots often assume that the low level controller of the system is able to track the planned motion with very high accuracy. In practice, however, tracking error can be affected by many factors
Externí odkaz:
http://arxiv.org/abs/2308.00914
Autor:
Xiao, Xuesu, Xu, Zifan, Wang, Zizhao, Song, Yunlong, Warnell, Garrett, Stone, Peter, Zhang, Tingnan, Ravi, Shravan, Wang, Gary, Karnan, Haresh, Biswas, Joydeep, Mohammad, Nicholas, Bramblett, Lauren, Peddi, Rahul, Bezzo, Nicola, Xie, Zhanteng, Dames, Philip
The BARN (Benchmark Autonomous Robot Navigation) Challenge took place at the 2022 IEEE International Conference on Robotics and Automation (ICRA 2022) in Philadelphia, PA. The aim of the challenge was to evaluate state-of-the-art autonomous ground na
Externí odkaz:
http://arxiv.org/abs/2208.10473
Akademický článek
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