Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Tanner, Herbert G"'
Autor:
Lin, Xiaomin, Mange, Vivek, Suresh, Arjun, Neuberger, Bernhard, Palnitkar, Aadi, Campbell, Brendan, Williams, Alan, Baxevani, Kleio, Mallette, Jeremy, Vera, Alhim, Vincze, Markus, Rekleitis, Ioannis, Tanner, Herbert G., Aloimonos, Yiannis
Oysters are a vital keystone species in coastal ecosystems, providing significant economic, environmental, and cultural benefits. As the importance of oysters grows, so does the relevance of autonomous systems for their detection and monitoring. Howe
Externí odkaz:
http://arxiv.org/abs/2409.07003
The paper presents a receding horizon planning and control strategy for quadrotor-type \ac{mav}s to navigate reactively and intercept a moving target in a cluttered unknown and dynamic environment. Leveraging a lightweight short-range sensor that gen
Externí odkaz:
http://arxiv.org/abs/2206.01895
Autor:
Zehfroosh, Ashkan, Tanner, Herbert G.
This paper presents a theoretical framework for probably approximately correct (PAC) multi-agent reinforcement learning (MARL) algorithms for Markov games. The paper offers an extension to the well-known Nash Q-learning algorithm, using the idea of d
Externí odkaz:
http://arxiv.org/abs/2009.02605
Autor:
Zehfroosh, Ashkan, Tanner, Herbert G.
This paper offers a new hybrid probably approximately correct (PAC) reinforcement learning (RL) algorithm for Markov decision processes (MDPs) that intelligently maintains favorable features of its parents. The designed algorithm, referred to as the
Externí odkaz:
http://arxiv.org/abs/2009.02602
Unmanned ground vehicles can capture a sub-canopy perspective for plant phenotyping, but their design and construction can be a challenge for scientists unfamiliar with robotics. Here we describe the necessary components and provide guidelines for de
Externí odkaz:
http://arxiv.org/abs/1903.10608
Autor:
Baxevani, Kleio, Tanner, Herbert G.
Publikováno v:
In IFAC PapersOnLine 2023 56(2):3930-3935
This paper addresses the problem of detecting radioactive material in transit using an UAV of minimal sensing capability, where the objective is to classify the target's radioactivity as the vehicle plans its paths through the workspace while trackin
Externí odkaz:
http://arxiv.org/abs/1805.09061
The paper describes a receding horizon control design framework for continuous-time stochastic nonlinear systems subject to probabilistic state constraints. The intention is to derive solutions that are implementable in real-time on currently availab
Externí odkaz:
http://arxiv.org/abs/1211.4038
This paper addresses a detection problem where several spatially distributed sensors independently observe a time-inhomogeneous stochastic process. The task is to decide between two hypotheses regarding the statistics of the observed process at the e
Externí odkaz:
http://arxiv.org/abs/1210.1464
Autor:
Fu, Jie, Tanner, Herbert G., Heinz, Jeffrey, Chandlee, Jane, Karydis, Konstantinos, Koirala, Cesar
This paper presents an approach that brings together game theory with grammatical inference and discrete abstractions in order to synthesize control strategies for hybrid dynamical systems performing tasks in partially unknown but rule-governed adver
Externí odkaz:
http://arxiv.org/abs/1210.1630