We envision a future where partial-autonomy in powered wheelchairs will be the standard: that when a person is being fit for a wheelchair by a therapist, a variety of autonomy options will be available, just like today a variety of seating options are available.



Robotics autonomy can help with obstacle avoidance, navigation, route planning and spatially-constrained maneuvers. We are developing a shared-autonomy wheelchair that consists of modular software and hardware components, where the machine automation furthermore is customized to the physical needs and personal preferences of the user [6,11]. Our system also prioritizes simple integration with existing commercial chairs and control interfaces---to mitigate costs not covered by insurance and thus accelerate adoption by users.

For this platform, we have developed perception algorithms able to detect doorways [3], inclines and drop-offs [17] and docking locations [7]. We currently are conducting a large-scale study with high-level spinal cord injured volunteers that evaluates multiple control-sharing paradigms and control interfaces.

A recent collaboration with Innovative Design Labs aims to transition the control-sharing components of our system in particular to a commercial product. Funding Source: National Institutes of Health (NIH/SBIR R43-HD085317).

Doorway Detection with Pose Estimation [2]

Docking Location Identification with Pose Information [7]

Control Sharing for Safety with a Smart Wheelchair [6]

Autonomous Doorway Traversal with Obstacles

Autonomous Docking in Constrained Spaces


© argallab 2016