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Dr. Lin is interested in the integrated mechanical properties of skeletal muscle, tendon, and spinal reflexes. Specifically, he studies how the individual components making up the peripheral neuromuscular system interact to stabilize posture or movements while encountering a perturbation, such as stepping off a curb unexpectedly. More generally, his research advances the concepts in the nascent field of Morphological Computing, in which the embedded intelligence of actuators and sensors lessen the computational burden of the controlling components.
Dr. Lin’s recent research has focused on elucidating how kangaroo rats are able to hop seamlessly over variable and unpredictable terrain. This research uses a combination of in vivo measurements to observe the biomechanical behavior of the animals, in situ experiments to investigate the properties of the musculoskeletal system, and computational models to test mechanistic hypotheses. In addition, Dr. Lin also formulates mathematical models of skeletal muscle. Of particular interest to his laboratory are the multi-scale force-generating characteristics of skeletal muscle, from ensembles of motor protein to musculotendon function. These studies use a variety of experimental and modeling methods.
An application of his research is to incorporate the unique features of neuromuscular systems into engineered robotic systems. Unlike robots, humans remain stable while interacting with different environments, such as walking on a rocky surface. Implementing mechanical properties similar to muscle into the actuators of a robot may solve this problem.
Dr. Lin’s recent research has focused on elucidating how kangaroo rats are able to hop seamlessly over variable and unpredictable terrain. This research uses a combination of in vivo measurements to observe the biomechanical behavior of the animals, in situ experiments to investigate the properties of the musculoskeletal system, and computational models to test mechanistic hypotheses. In addition, Dr. Lin also formulates mathematical models of skeletal muscle. Of particular interest to his laboratory are the multi-scale force-generating characteristics of skeletal muscle, from ensembles of motor protein to musculotendon function. These studies use a variety of experimental and modeling methods.
An application of his research is to incorporate the unique features of neuromuscular systems into engineered robotic systems. Unlike robots, humans remain stable while interacting with different environments, such as walking on a rocky surface. Implementing mechanical properties similar to muscle into the actuators of a robot may solve this problem.
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INTEGRATIVE AND COMPARATIVE BIOLOGY (2023): S207-S207
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Halli Benasutti, Joseph W. Maricelli,Jane Seto,John Hall,Christine Halbert,Jacqueline Wicki, Lydia Huesgen, Nicholas Purvis,Michael Regnier,David C. Lin,Buel D. Rodgers,Jeffrey S. Chamberlain
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCESno. 1950 (2021): 20202895-20202895
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