Through vehicle-to-vehicle (V2V) communication, autonomizing a vehicle platoon can
significantly reduce the distance between vehicles, thereby reducing air resistance and …

Personalizing medical devices such as lower limb wearable robots is challenging. While the
initial feasibility of automating the process of knee prosthesis control parameter tuning has …

Robotic exoskeletons are exciting technologies for augmenting human mobility. However,
designing such a device for seamless integration with the human user and to assist human …

We address a state-of-the-art reinforcement learning (RL) control approach to automatically
configure robotic prosthesis impedance parameters to enable end-to-end, continuous …

This is the first attempt at considering human influence in the reinforcement learning control
of a robotic lower limb prosthesis toward symmetrical walking in real world situations. We …

Robotic prostheses provide new opportunities to better restore lost functions than passive
prostheses for trans-femoral amputees. But controlling a prosthesis device automatically for …

The tuning process for a robotic prosthesis is a challenging and time-consuming task both
for users and clinicians. An automatic tuning approach using reinforcement learning (RL) …

Automatically personalizing complex control of robotic prostheses to improve gait
performance, such as gait symmetry, is challenging. Recently, human-in-the-loop (HIL) …

Although advanced wearable robots can assist human wearers, their internal faults (ie,
sensors or control errors) also pose a challenge. To ensure safe wearer-robot interactions …

There are approximately 13 million new stroke cases worldwide each year. Research has
shown that robotics can provide practical and efficient solutions for expediting post-stroke …