The question
An object near a walker is not necessarily a collision threat. Its direction and speed, and the movement of the walker itself, matter. How can a mobility aid distinguish a developing risk from an object that is moving away?
The approach
The research system combines LiDAR, infrared sensing and odometry on the LEA robotic rollator. It tracks nearby objects, estimates movement one second ahead and provides a continuous, proportional assessment of collision risk.
Infrared sensing complements the forward LiDAR, while movement prediction helps distinguish approaching, receding and crossing objects. Directional warnings reflect both proximity and closing speed.
Early findings
The proof of concept has been evaluated in controlled dynamic scenarios. It demonstrates trajectory prediction and continuous risk assessment, with remaining challenges around occlusion, changing viewpoints and occasional infrared false alarms.
It has not yet been evaluated with older adults. The next questions concern onboard integration, the experience of warnings, cognitive load and how risk information should influence assistance.
Opportunities to collaborate
This work connects robotics and sensing with human factors, mobility assessment and clinical evaluation. I am interested in how to assess both technical performance and the usefulness of assistance to the person walking.