The objective of this project is the research of multi-sensor Appearance Based SLAM (ASLAM) system for day/night operations in indoor and outdoor environments. These algorithms would perform place recognition based on multiple sensor data (imagery, laser, and radar) gathered from a UGV (Unmanned Ground Vehicle) as it travels through the environment. When the vehicle returns to a previously visited scene, the ASLAM algorithm will recognize the scene, update its internal representation, report this to the UGV.
In the spinal cord injured population, inactivity is wide-spread, and most causes of death in those with spinal cord injury can be improved by increasing physical activity. Current electric wheel-chairs exacerbate inactivity in this population by performing all the work required for transportation. The new openPAW device uses bio and environmental feedback (ie. current arm strength, weight, slope) from the wheelchair to alter how much power is mechanically provided to the wheels on each arm crank.