Publications by Year: 2019

2019
M. Kim, et al., “Bayesian Optimization of Soft Exosuits Using a Metabolic Estimator Stopping Process.” in The 36th IEEE International Conference on Robotics and Automation (ICRA), 2019. PDF
D. G. Schmitz, R. W. Nuckols, S. Lee, B. T. Quinlivan, C. J. Walsh, and D. G. Thelen, “Investigating Changes in Achilles Tendon Load During Walking with Exosuit Assistance.he 27th Congress of the International Society of Biomechanics (ISB). 2019. PDF
S. Berndt, M. Herman, C. Walsh, and D. Holland, “The SDM Finger: Teaching engineering design through soft robotics,” Science Scope, vol. 43, no. 4, pp. 14-21, 2019. PDF
Reducing the metabolic rate of walking and running with a versatile, portable exosuit
J. Kim, et al., “Reducing the metabolic rate of walking and running with a versatile, portable exosuit,” Science, vol. 365, no. 6454, pp. 668-672, 2019. Publisher's VersionAbstract
Walking and running have fundamentally different biomechanics, which makes developing devices that assist both gaits challenging. We show that a portable exosuit that assists hip extension can reduce the metabolic rate of treadmill walking at 1.5 meters per second by 9.3% and that of running at 2.5 meters per second by 4.0% compared with locomotion without the exosuit. These reduction magnitudes are comparable to the effects of taking off 7.4 and 5.7 kilograms during walking and running, respectively, and are in a range that has shown meaningful athletic performance changes. The exosuit automatically switches between actuation profiles for both gaits, on the basis of estimated potential energy fluctuations of the wearer’s center of mass. Single-participant experiments show that it is possible to reduce metabolic rates of different running speeds and uphill walking, further demonstrating the exosuit’s versatility.
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W. - H. Hsu, E. J. Park, D. L. Miranda, H. M. Sallum, C. J. Walsh, and E. C. Goldfield, “Gait Initiation of New Walkers and the Adult's Role in Regulating Directionality of the Child's Body Motion,” Journal of Motor Learning and Development, vol. 7, no. 1, pp. 35-48, 2019. PDF
Y. M. Zhou, et al., “Soft Robotic Glove with Integrated Sensing for Intuitive Grasping Assistance Post Spinal Cord Injury,” in IEEE Internaional Conference on Robotics and Automation (ICRA), Montreal, Canada, May 20-24, 2019. PDF
F. Panizzolo, et al., “Metabolic cost adaptations during training with a soft exosuit assisting the hip joint,” Scientific Reports, 2019. PDF
D. J. Preston, et al., “A soft ring oscillator,” Science Robotics, vol. 4, no. 31, 2019. PDF
J. Zhang, et al., “Robotic Artificial Muscles: Current Progress and Future Perspectives,” IEEE Transaction on Robitics, pp. 1-21, 2019. PDF
J. Kang, K. Ghonasgi, C. Walsh, and S. Agrawal, “Simulating Hemiparetic Gait in Healthy Subjects using TPAD with a Closed-loop Controller,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 5, pp. 974-983, 2019. PDF
C. Payne, et al., “Variable Contraction Timing for a Soft Robotic Cardiac Assist Device,” in Hamlyn Symposium on Medical Robotics, 2019. PDF
Sew-free anisotropic textile composites for rapid design and manufacturing of soft wearable robots
F. Connolly, D. A. Wagner, C. J. Walsh, and K. Bertoldi, “Sew-free anisotropic textile composites for rapid design and manufacturing of soft wearable robots,” Extreme Mechanics Letters, vol. 27, pp. 52-58, 2019. Publisher's Version PDF
M. Grimmer, et al., “Comparison of the human-exosuit interaction using ankle moment and ankle positive power inspired walking assistance,” Journal of Biomechanics, vol. 83, no. 23, pp. 76-84, 2019. PDF
M. Grimmer, R. Riener, C. J. Walsh, and A. Seyfarth, “Mobility related physical and functional losses due to aging and disease - a motivation for lower limb exoskeletons,” Journal of NeuroEngineering and Rehabilitation, vol. 16, no. 1, 2019. PDF