Human-Centered Robotics Lab

Zhiqing Lu demonstrating the Kuka LBR iiwa
Zhiqing Lu demonstrating the Kuka LBR iiwa at the ME Knowledge Lab Ribbon Cutting. September 2021.
Learning from Interactions framework
A framework for learning from Physical Human-Robot Interactions.
Katie Fitzsimons demonstrating human-robot interaction at the Museum of Science and Industry
Katie showing a robot to children at the Museum of Science and Industry. April 2019.
Members of the HCR lab at the HCR/CAIS/CASA labs Holiday Party
Members of the HCR lab at the annual holiday party held with the CAIS lab and CASA Goes Lab. December 2024.
HCR member presenting at Pittsburgh Robotics Discovery Day. November 2024.
Multi-sensory haptic feedback platform
A multi-sensory haptic wearable used to develop adaptive feedback during voluntary movement. January 2025.

About

Robotics and haptics have the potential to enhance human performance and learning as well as provide unique insight into neuromotor function through sensing and quantification of human motion. At the same time, human behavior can inform the development of control strategies for complex tasks and human-robot interactions. Therefore, the Human-Centered Robotics Lab studies problems at the intersection of biology, robotics, and control, with applications to physical human-robot interaction, haptics, interface design, and robotic learning from demonstration


Recent Papers

Ergodic imitation: Learning from what to do and what not to do
A. Kalinowska, A. Prabhakar, K. Fitzsimons, T. D. Murphey
IEEE Int. Conf. on Robotics and Automation (ICRA), 2021. PDF

Task-based hybrid shared control for training through forceful interaction
K. Fitzsimons, A. Kalinowska, J. Dewald and T. D. Murphey
International Journal of Robotics Research, vol. 39, no. 9, pp. 1138-1154, 2020. PDF