Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Herbert G. Tanner"'
Autor:
Michael A. Sebok, Herbert G. Tanner
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Heterogeneous multi-agent systems can be deployed to complete a variety of tasks, including some that are impossible using a single generic modality. This paper introduces an approach to solving the problem of cooperative behavior planning in small h
Externí odkaz:
https://doaj.org/article/37c02dcfe69646a7ae6864e6ef427c79
Autor:
Herbert G. Tanner
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/395820b1bb1c410b8a05133e58c47bb6
Autor:
Ashkan Zehfroosh, Herbert G. Tanner
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
This paper reports on a new approach to Signal Temporal Logic (STL) control synthesis, that 1) utilizes a navigation function as the basis to construct a Control Barrier Function (CBF), and 2) composes navigation function-based barrier functions usin
Externí odkaz:
https://doaj.org/article/08db10da18224c738661a20f443593db
Autor:
Ashkan Zehfroosh, Herbert G. Tanner
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
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 both model-based and model-free methodologies. The desig
Externí odkaz:
https://doaj.org/article/26d3b1b9ab8f4e588b83266c7b79d13b
Autor:
Elena Kokkoni, Effrosyni Mavroudi, Ashkan Zehfroosh, James C. Galloway, Renè Vidal, Jeffrey Heinz, Herbert G. Tanner
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 17, Iss 1, Pp 1-15 (2020)
Abstract Background There is a lack of early (infant) mobility rehabilitation approaches that incorporate natural and complex environments and have the potential to concurrently advance motor, cognitive, and social development. The Grounded Early Ada
Externí odkaz:
https://doaj.org/article/81f3a745429c46db99343dc19cf51816
Autor:
Mai H. Vu, Ashkan Zehfroosh, Kristina Strother-Garcia, Michael Sebok, Jeffrey Heinz, Herbert G. Tanner
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
This paper shows how methods from statistical relational learning can be used to address problems in grammatical inference using model-theoretic representations of strings. These model-theoretic representations are the basis of representing formal la
Externí odkaz:
https://doaj.org/article/a72244a536a249e89bd6d09b09491d22
Publikováno v:
Autonomous Robots. 47:435-451
Autor:
Herbert G. Tanner, Adam Stager
Publikováno v:
IEEE Transactions on Robotics. 38:1686-1702
This article describes the construction of stochastic, data-based discrete abstractions for uncertain random processes continuous in time and space. Motivated by the fact that modeling processes often introduce errors which interfere with the impleme
Autor:
Herbert G. Tanner, Cong Wei
Publikováno v:
IEEE Transactions on Automatic Control. 67:1135-1146
Autor:
Ashley N. Hostetler, Lindsay Erndwein, Jonathan W. Reneau, Adam Stager, Herbert G. Tanner, Douglas Cook, Erin E. Sparks
Publikováno v:
Plant, Cell & Environment. 45:1573-1583
Plant mechanical failure (lodging) causes global yield losses of 7%-66% in cereal crops. We have previously shown that the above-ground nodal roots (brace roots) in maize are critical for anchorage. However, it is unknown how brace root phenotypes va