Physiology of Wearable Robotics Laboratory (PoWeR Lab)


Education

  • Ph.D., University of Michigan, Ann-Arbor, 2007
  • M.S., University of California-Davis, 2001
  • B.S., Cornell University, 1999

Teaching Interests

Professor Sawicki’s teaching interests encompass core mechanical engineering topics, including dynamics, system modeling, and control theory at both undergraduate and graduate levels. His instruction integrates principles of automation and robotics, emphasizing hands-on learning and problem-solving skills. He is committed to involving students actively in the learning process and fostering interdisciplinary approaches that reflect current technological developments.

Research Interests

Professor Sawicki’s research focuses on dynamics and control of mechanical systems with applications in robotics and automation. His work includes modeling, simulation, and control of complex electromechanical systems and devices. Emphasizing robust and adaptive control techniques, his research aims to improve the performance and reliability of advanced mechanical systems. The research program actively engages graduate and undergraduate students.

Recent Publications

  • C Talley, V Young, W Thompson, A Grann, G Sawicki, A Tekes, A Bio-Inspired Assistive Exoskeleton for Supporting Shoulder and Daily Activities, Journal of Engineering and Science in Medical Diagnostics and Therapy 9 (2 …, 2026.
  • SA Thompson, EE Foley, JR Franz, GS Sawicki, MD Lewek, Pairing limb posture feedback with an ankle exoskeleton to augment limb propulsion, Plos one 20 (10), e0335054, 2025.
  • AA Alshareef, P Nardelli, SN Simha, TC Cope, LH Ting, GS Sawicki, Influence of exoskeleton stiffness on primary afferent feedback during stretch perturbations of isolated muscle-tendon unit, bioRxiv, 2025.11. 03.686366, 2025.
  • JK Leestma, SR Nathella, CPO Nuesslein, S Mathur, GS Sawicki, ..., Epically Powerful: An open-source software and mechatronics infrastructure for wearable robotic systems, arXiv preprint arXiv:2511.05033, 2025.
  • A Ahmadi, V Firouzi, D Haufe, S Hirt, A Seyfarth, GS Sawicki, R Findeisen, ..., Towards Real-Time Personalized Control in Wearable Robotics: A Hierarchical Architecture for Lower-Limb Assistance, 2025 IEEE 64th Conference on Decision and Control (CDC), 5411-5418, 2025.