Results 1 to 10 of about 391,346 (171)
Controlling a simple model of bipedal walking to adapt to a wide range of target step lengths and step frequencies. [PDF]
PLoS ONEWe tested whether the same control principles that support steady-state walking are sufficient for robust, and rapid gait adaptations over a wide range of step lengths and frequencies.
Sina Mehdizadeh, James Maxwell Donelan
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Multibody Modeling and Nonlinear Control of a Pantograph Scissor Lift Mechanism [PDF]
Journal of Applied and Computational Mechanics, 2023 In this paper, a new strategy for developing effective control policies suitable for guiding the motion of articulated mechanical systems that are described within the framework of multibody system dynamics is proposed.
Carmine Maria Pappalardo +2 more
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Behaviour equivalent max-plus automata for timed petri nets under open-loop race-policy semantics [PDF]
Discrete Event Dynamic Systems, 2021 AbstractTimed Petri nets and max-plus automata are well known modelling frameworks for timed discrete-event systems. In this paper we present an iterative procedure that constructs a max-plus automaton from a timed Petri net while retaining the timed behaviour.
Lukas Triska, Thomas Moor
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Mathematics, 2021 In this paper, we study the problem of optimal routing for the pair of two-server heterogeneous queues operating in parallel and subsequent optimal allocation of customers between the servers in each queue.
Dmitry Efrosinin, Natalia Stepanova
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IEEE Access, 2022 Coronavirus disease (COVID-19) is one of the world’s most challenging pandemics, affecting people around the world to a great extent. Previous studies investigating the COVID-19 pandemic forecast have either lacked generalization and scalability ...
Kartik Narayan +2 more
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Frontiers in Human Neuroscience, 2023 Over the past three decades, deep brain stimulation (DBS) for Parkinson’s disease (PD) has been applied in a continuous open loop fashion, unresponsive to changes in a given patient’s state or symptoms over the course of a day.
Kevin B. Wilkins +4 more
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PSTO: Learning Energy-Efficient Locomotion for Quadruped Robots
Machines, 2022 Energy efficiency is critical for the locomotion of quadruped robots. However, energy efficiency values found in simulations do not transfer adequately to the real world.
Wangshu Zhu, Andre Rosendo
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“Inspiring” Policy Transfer: Analysis of Urban Renewal in Four First-Tier Chinese Cities
Land, 2022 Most Chinese cities have spent decades achieving urbanisation. So far, rural urbanisation has shifted to urban renewal. However, the distinction between a rapidly changing social environment and the establishment of an institution has led to the failure ...
Yuanyuan Huang +5 more
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Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots
Robotics, 2022 In this study, a novel end-to-end path planning algorithm based on deep reinforcement learning is proposed for aerial robots deployed in dense environments.
Halil Ibrahim Ugurlu +2 more
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Powders, 2022 Powder manufacturing processes involve a systematic processing of particulate material towards forming a final product which needs to meet specific quality standards.
Ejay Nsugbe
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