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pro vyhledávání: '"Lee, Elijah"'
In this work, we study the problem of decentralized multi-agent perimeter defense that asks for computing actions for defenders with local perceptions and communications to maximize the capture of intruders. One major challenge for practical implemen
Externí odkaz:
http://arxiv.org/abs/2301.09689
We consider the problem of finding decentralized strategies for multi-agent perimeter defense games. In this work, we design a graph neural network-based learning framework to learn a mapping from defenders' local perceptions and the communication gr
Externí odkaz:
http://arxiv.org/abs/2211.01757
Previous studies in the perimeter defense game have largely focused on the fully observable setting where the true player states are known to all players. However, this is unrealistic for practical implementation since defenders may have to perceive
Externí odkaz:
http://arxiv.org/abs/2209.12136
Autor:
Lee, Elijah H.
There are inherent challenges to monitoring bat populations in the Rocky Mountain West of North America, due in part to the apparent scarcity of large hibernacula that facilitate population assessments via abundance counts, and to the expansive, diff
Autor:
Lee, Elijah S., Vora, Ankit, Parchami, Armin, Chakravarty, Punarjay, Pandey, Gaurav, Kumar, Vijay
Vehicle localization is essential for autonomous vehicle (AV) navigation and Advanced Driver Assistance Systems (ADAS). Accurate vehicle localization is often achieved via expensive inertial navigation systems or by employing compute-intensive vision
Externí odkaz:
http://arxiv.org/abs/2109.10457
The perimeter defense game has received interest in recent years as a variant of the pursuit-evasion game. A number of previous works have solved this game to obtain the optimal strategies for defender and intruder, but the derived theory considers t
Externí odkaz:
http://arxiv.org/abs/2109.02852
Autor:
Lee, Elijah S.
Active perception has been employed in many domains, particularly in the field of robotics. The idea of active perception is to utilize the input data to predict the next action that can help robots to improve their performance. The main challenge li
Externí odkaz:
http://arxiv.org/abs/2109.02744
We study a variant of pursuit-evasion game in the context of perimeter defense. In this problem, the intruder aims to reach the base plane of a hemisphere without being captured by the defender, while the defender tries to capture the intruder. The p
Externí odkaz:
http://arxiv.org/abs/2012.14980
Autor:
Chen, Steven W., Nardari, Guilherme V., Lee, Elijah S., Qu, Chao, Liu, Xu, Romero, Roseli A. F., Kumar, Vijay
This paper describes an end-to-end pipeline for tree diameter estimation based on semantic segmentation and lidar odometry and mapping. Accurate mapping of this type of environment is challenging since the ground and the trees are surrounded by leave
Externí odkaz:
http://arxiv.org/abs/1912.12726
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