Our mission is to develop wearable robots that improve human mobility, in particular for individuals whose strength and coordination have been affected by amputation, stroke, cerebral palsy, or aging. At present, we are studying ways to improve stability and energy efficiency using robotic prostheses and exoskeletons. We believe appropriate mechanical assistance can not only restore function, but enhance performance beyond typical human limits.
Coupling theory, design and experiment. We use a combination of methods, each with different strengths and weaknesses, to obtain a complete understanding of robot-assisted locomotion. Experiments on humans allow direct measurement of human performance, discovery of new phenomena, and assessment of cooperative robot effectiveness. Simple mathematical models capture fundamental dynamics, allow high-throughput computational techniques such as optimization, and help us to interpret complex experimental observations. Mechanical design translates abstract ideas into practical devices for probitive experiments. We feed results from each research stream into its complements, lending depth to empirical insights, improving relevance of simulation models, and generating better assistive robots.
Experimental infrastructure development. We are developing versatile laboratory robots to facilitate scientific study of robot-assisted locomotion and to accelerate co-robot development. Rather than spend years designing and refining autonomous devices that only test a single proposed function, we are developing tethered laboratory tools that sacrifice autonomy for exceptional versatility and performance. These tools enable systematic studies of a wide range of mechanical and control functions in a single platform, enhancing the interplay between model and experiment, and allowing rapid, early-stage evaluation of proposed interventions.
Advancing core technologies. We are also developing several basic technologies to improve the effectiveness of wearable robots, with active research on control, rehabilitation techniques, actuation, and human-robot interface design. To improve energy efficiency and stability for human users, we are designing improved co-robot control strategies using control theory, model optimization, and experimental techniques. We think these assistive strategies can be used to effect better community-based rehabilitation. For improved range and battery size in such autonomous devices, without sacrificing controllability, we are developing novel, energy-efficient actuators. In order to apply appropriate mechanical assistance without interfering with natural human motions, we are developing lightweight and minimally-restrictive exoskeleton interfaces. Together, these technologies will eventually lead to more effective wearable robots.
Our lab is a 450 ft2 space designed for student interaction, mechanical design and testing, and pilot experiments. Feel free to stop in for a visit! We conduct biomechanics data collections in the CMU Motion Capture Lab, which we share with collaborators Jessica Hodgins, Hartmut Geyer, and Chris Atkeson. Our students discuss research ideas at the weekly CMU Bipedal Locomotion Seminar, with participants from Carnegie Mellon, the University of Pittsburgh, and Disney Research, and at monthly Pittsburgh Biomechanics meetings organized by Arash Mahboobin and Mark Redfern. We are active in the Dynamic Walking community, helping to orgainize and host annual conferences, and collaborating with Peter Adamczyk, Max Donelan, Art Kuo, Andy Ruina, Greg Sawicki, Manoj Srinivasan, and Martijn Wisse.