Our research projects

Research projects aim the development of advanced technologies (robotics, mechatronics, intelligent algorithms) for the assistance of people living with disabilities.

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The rehabilitation engineering team is looking for Master's, PhD's and intern students.


Video of a human performance measurement system based on inertial measurement units


Video of an assistive eating device


Movement assistance

The objective of this theme is the development of assistive technologies such as eating assistive devices, arm support, orthoses and exoskeletons.

We are currently working on these technologies. More details to come soon !

Eating assistive device prototype

Movement analysis with Inertial Measurement Units (IMU)
This project aims the estimation of human movement with inertial measurement units. The latter are composed of 9 miniature sensors: 3 accelerometers, 3 gyroscopes and 3 magnetometers. By combining the information provided by each sensor, it's possible to find the sensor's orientation in space. Then, by placing a sensor on each limb, we can build a skeleton of the user in real time. We use this technology for applications in rehabilitation such as the analysis of the evolution of patients related to motor learning, injury prevention and sport analysis.

We are currently working on these projects. More details soon !

Assistive robots

Assistive robots help users to grasp objects, push buttons, eat and perform many other daily living tasks. Our team designs advanced algorithms, control interface and mechanical system to improve this technology. 

JACO robot from Kinova Robotics - Application example

Collision avoidance algorithms (2017)

Control interface

The link between the human user and an assistive device is essential to provide an intuitive control of the device in order for the device to understand the user intention efficiently. Unfortunately, current control interfaces are too simplistic and do not allow for efficient control.  Our team thus works on the development of new control interfaces allowing to be more efficient when controlling assistive devices. These technologies are based on speech control, inertial measurement units and EMG sensors. 

Robotic arm control with EMG and Inertial measurement units (2017)

in collaboration with Ulysse Côté-Allard (Ph.D.), Cheikh Fall (Ph.D.) and Pr. Benoit Gosselin.

Robotic arm control with Inertial measurement units (2017)

in collaboration with Cheikh Fall (Ph.D.) and Pr. Benoit Gosselin.