X. Bao, Q. Zhang, N. Fragnito, J. Wang, N. Sharma, “A Clustering-based Method for Estimating Pennation Angle from B-mode Ultrasound Images,” Wearable Technologies, accepted.
Q. Zhang, K. Lambeth, Z. Sun, A. Dodson, X. Bao, N. Sharma, “Evaluation of a Fused Sonomyography and Electromyography-based Control on a Cable-Driven Ankle Exoskeleton,” IEEE Transactions on Robotics, conditionally accepted.
Q. Zhang, K. Lambeth, A. Iyer, Z. Sun, N. Sharma, “Ultrasound Imaging-based Closed-Loop Control of Functional Electrical Stimulation for Drop Foot Correction,” IEEE Transactions on Control Systems and Technology, accepted
Q. Zhang, X. Bao, N. Fragnito, N. Sharma, “A Deep Learning Method to Predict Ankle Joint Moment during Walking at Different Speeds with Ultrasound Imaging: A Framework for Assistive Devices Control,” Wearable Technologies, accepted.
K. Lambeth, Z. Sun, M. Singh, N. Sharma, “Robust MPC-based Synergy Control of a Hybrid Neuroprosthesis for Foot Placement,” 2022 6th IEEE Conference on Control Technology and Applications, accepted.
A. Iyer, M. Singh, Q. Zhang, Z. Sun, Nitin Sharma, “An Online Actor-Critic Identifier with Sampled Fatigue Measurements for Optimal Adaptive Control of FES and an Electric motor,” 2022 6th IEEE Conference on Control Technology and Applications, accepted
X. Bao, Z. Sheng, and N. Sharma, “A Tube-based Model Predictive Control Method for Sharing Control Inputs in a Hybrid Neuroprosthesis,” IROS workshop on Assistance and Service Robotics in a Human Environment, Vancouver, 2017.
X Bao, V. Molazadeh, A. Dodson, N. Sharma. “Model Predictive Control-Based Knee Actuator Allocation During a Standing-Up Motion with a Powered Exoskeleton and Functional Electrical Stimulation.” Advances in Motor Neuroprostheses. Springer Cham. 2020. 89-100.
JC Moreno, S Mohammed, N Sharma, AJ del-Ama. “Hybrid Wearable Robotic Exoskeletons for Human Walking.” Wearable Robotics. Academic Press. 2020. 347-364.
N. Sharma and N. Kirsch. “Modeling and Dynamic Optimization of a hybrid Neuroprosthesis for Gait Restoration.” Human Modeling for Bio-Inspired Robotics. Ed. Jun Ueda, Yuichi Kurita. Elsevier, 2016.