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"Design and Control of a Novel Variable Stiffness Series Elastic Actuat" by Emre Sariyildiz, Rahim Mutlu et al.

This article expounds the design and control of a new variable stiffness series elastic actuator (VSSEA). It is established by employing a modular mechanical design approach that allows us to effectively optimize the stiffness modulation characteristics and power density of the actuator. The proposed VSSEA possesses the following features: no limitation in the work range of output link; a wide range of stiffness modulation (โˆผ20 Nยทm/rad to โˆผ1 KNยทm/rad); low-energy-cost stiffness modulation ...
Ompliant Robotics Hysical Robot Environment Interaction Afe Robotics Eries Elastic Actuators Seas Solid Modeling Ariable Stiffness Actuators Vsas
Source: uow.edu.au

"A Non-autoregressive Dynamic Model based Welding Parameter Planning Me" by Zhihu Li, Zhimin Hou et al.

Wire and arc additive manufacturing(WAAM) is a promising method for directly manufacturing parts with complex shapes. However, the accuracy of the existing welding parameter planning methods would dramatically decrease when bead geometry changes dynamically due to the long-term dependence, strong coupling, and hysteresis properties of the WAAM process. To this end, a non-autoregressive(NAR) dynamic model is proposed to predict the bead geometry, and an adaptive model predictive control(aMPC) met...
Adaptation Models On Autoregressive Dynamic Model Predictive Models Process Control Solid Modeling Arying Geometry Beads
Source: uow.edu.au

Keweenaw Research Center (KRC) | Michigan Technological University

The Keweenaw Research Center (KRC) is a multidisciplinary research center of Michigan Technological University that is active across a broad spectrum of vehicle development. Originally established by the US Army for deep snow mobility testing, KRC has been involved in military, industrial, and commercial vehicle applications for over 60 years.
Michigan Technological University United States Army Corps Of Engineers Engineering Laboratory Institute For Snow Research Michigan Technological University Tech
Source: mtu.edu

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"SA-LuT-Nets: Learning Sample-adaptive Intensity Lookup Tables for Brai" by Biting Yu, Luping Zhou et al.

Abstract In clinics, the information about the appearance and location of brain tumors is essential to assist doctors in diagnosis and treatment. Automatic brain tumor segmentation on the images acquired by magnetic resonance imaging (MRI) is a common way to attain this information. However, MR images are not quantitative and can exhibit significant variation in signal depending on a range of factors, which increases the difficulty of training an automatic segmentation network and applying it t...
Image Segmentation Magnetic Resonance Imaging Mri Neural Network Solid Modeling Able Lookup Task Analysis
Source: uow.edu.au

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