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Akademický článek
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Autor:
Burgess Laura, Smith Sasha, Babber Adarsh, Shalhoub Joseph, Fiorentino Francesca, de la Rosa Consuelo Nohpal, Klimowska-Nassar Natalia, Epstein David M, Pérez Troncoso Daniel, Braithwaite Bruce, Chetter Ian, Coulston James, Gohel Manjit, Hinchliffe Robert, Stansby Gerard, Davies Alun H
Publikováno v:
Efficacy and Mechanism Evaluation, Vol 10, Iss 02 (2023)
Background Peripheral arterial disease is common and associated with increased cardiovascular morbidity and mortality. While patients with peripheral arterial disease are known to benefit from supervised exercise therapy, it is not always available.
Externí odkaz:
https://doaj.org/article/ad5ad896d5ee4344a5a00dd002d217c6
Akademický článek
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Publikováno v:
Proceedings of the VDI Mechatroniktagung 2024, pp 65-72
This work develops a novel trajectory planner for human-robot handovers. The handover requirements can naturally be handled by a path-following-based model predictive controller, where the path progress serves as a progress measure of the handover. M
Externí odkaz:
http://arxiv.org/abs/2404.07505
Given a discounted cost, we study deterministic discrete-time systems whose inputs are generated by policy iteration (PI). We provide novel near-optimality and stability properties, while allowing for non stabilizing initial policies. That is, we fir
Externí odkaz:
http://arxiv.org/abs/2403.19007
The state of charge (SOC) of lithium-ion batteries needs to be accurately estimated for safety and reliability purposes. For battery packs made of a large number of cells, it is not always feasible to design one SOC estimator per cell due to limited
Externí odkaz:
http://arxiv.org/abs/2403.16555
Model Predictive Trajectory Optimization With Dynamically Changing Waypoints for Serial Manipulators
Systematically including dynamically changing waypoints as desired discrete actions, for instance, resulting from superordinate task planning, has been challenging for online model predictive trajectory optimization with short planning horizons. This
Externí odkaz:
http://arxiv.org/abs/2402.04730
This paper studies the stabilization problem of networked control systems (NCSs) with random packet dropouts caused by stochastic channels. To describe the effects of stochastic channels on the information transmission, the transmission times are ass
Externí odkaz:
http://arxiv.org/abs/2401.11677
This work presents a novel online model-predictive trajectory planner for robotic manipulators called BoundMPC. This planner allows the collision-free following of Cartesian reference paths in the end-effector's position and orientation, including vi
Externí odkaz:
http://arxiv.org/abs/2401.05057
Autor:
Ebmer, Gerald, Loch, Adam, Vu, Minh Nhat, Haessig, Germain, Mecca, Roberto, Vincze, Markus, Hartl-Nesic, Christian, Kugi, Andreas
Real-time applications for autonomous operations depend largely on fast and robust vision-based localization systems. Since image processing tasks require processing large amounts of data, the computational resources often limit the performance of ot
Externí odkaz:
http://arxiv.org/abs/2310.16618