Assistive exoskeletons are an increasingly valuable rehabilitation tool for patients with neurological damage. This project implements an advanced sensor system and control scheme on a portable, low-cost knee exoskeleton.
Wenlong Zhang is currently an assistant professor in the Polytechnic School at the Ira A. Fulton Schools of Engineering, Arizona State University. Zhang’s research interests lie in the design, modeling, and control of cyber-physical systems, with applications to healthcare, robotics and manufacturing.
Total projects: 10
Designing a virtual environment that changes upon each usage will help develop artificial intelligence that learns with less time and data.
Using gait sensing and force haptic feedback in shoe insoles will help provide better rehabilitation.
Creating a more accurate human prediction model in self-driving cars will account for the uncertainty in human actions.
Designing a system to collect and analyze data about how people ride bicycles will help make this activity more accessible through balance and steering assistance.
Studying human behavior in collaborative tasks will help develop robots that effectively and intelligently work with humans.
Towards Portability of Pneumatic Wearable Devices using Low-Volume Inflatable Actuator Composites and a Portable Pneumatic Source
Making a soft inflatable exosuit for knee rehabilitation reduces energy cost of actuation and is portable.
Designing effective communications between human and rehabilitative robotic devices will improve safety and effectiveness of the interactions.
Designing a device that will provide an assistive force to the heel will help patients with gait disorders.
Development of an OpenSim Simulation to Identify Time and Force Magnitude Needed at Toe-Off Stage for an Assistive Force Ankle Device
Finding the ideal time and force magnitude for an assistive ankle device will help people with gait disorders gain better gait patterns.