Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Tamas G. Molnar"'
Publikováno v:
IEEE Access, Vol 8, Pp 188454-188474 (2020)
The world has recently undergone the most ambitious mitigation effort in a century, consisting of wide-spread quarantines aimed at preventing the spread of COVID-19. The use of influential epidemiological models of COVID-19 helped to encourage decisi
Externí odkaz:
https://doaj.org/article/7f39da45e54244d888e43bd0ff55c60b
Publikováno v:
IEEE Robotics and Automation Letters. 7:10954-10961
Recent advances allow for the automation of food preparation in high-throughput environments, yet the successful deployment of these robots requires the planning and execution of quick, robust, and ultimately collision-free behaviors. In this work, w
Publikováno v:
International Journal of Robust and Nonlinear Control.
This work presents a theoretical framework for the safety-critical control of time delay systems. The theory of control barrier functions, that provides formal safety guarantees for delay-free systems, is extended to systems with state delay. The not
Publikováno v:
Journal of Computational and Nonlinear Dynamics. 18
Dexterous robots have great potential to execute industrial tasks that are not suited to humans. In this work, a novel robotic mobility platform is proposed for use in the chemical industry to enable autonomous distillation column inspection—a tedi
Publikováno v:
IEEE Transactions on Control Systems Technology. :1-14
Endowing nonlinear systems with safe behavior is increasingly important in modern control. This task is particularly challenging for real-life control systems that must operate safely in dynamically changing environments. This paper develops a framew
Autor:
Tamas G. Molnar, Xunbi A. Ji, Sanghoon Oh, Denes Takacs, Michael Hopka, Devesh Upadhyay, Michiel Van Nieuwstadt, Gabor Orosz
Publikováno v:
2022 American Control Conference (ACC).
Safe longitudinal control is discussed for a connected automated truck traveling behind a preceding connected vehicle. A controller is proposed based on control barrier function theory and predictor feedback for provably safe, collision-free behavior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7548886be11835143aa19d00077a523
http://arxiv.org/abs/2205.14567
http://arxiv.org/abs/2205.14567
This paper focuses on energy-efficient longitudinal controller design for a connected automated truck that travels in mixed traffic consisting of connected and non-connected vehicles. The truck has access to information about connected vehicles beyon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d184f5d9afd0a4e13fdf5dd4422f31b
http://arxiv.org/abs/2205.03473
http://arxiv.org/abs/2205.03473
Autor:
Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamas G. Molnar, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman
With the increasing prevalence of complex vision-based sensing methods for use in obstacle identification and state estimation, characterizing environment-dependent measurement errors has become a difficult and essential part of modern robotics. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24a99d928751c125cee71fb81151e1b1
http://arxiv.org/abs/2203.01404
http://arxiv.org/abs/2203.01404
This work provides formal safety guarantees for control systems with disturbance. A disturbance observer-based robust safety-critical controller is proposed, that estimates the effect of the disturbance on safety and utilizes this estimate with contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::107289b08d0701dd2c207cc6346475d5