Grants and Contributions:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Industrial robots have set important milestones in the era of automated manufacturing by carrying outx000D
dangerous and repeatable tasks in the place of humans for over half a century. In this century, professional andx000D
mobile service robots are going to play the key role as human counterparts and caregivers in both industrial andx000D
daily-life setting. Similar to industrial robots, mobile service robots will take on the dangerous and dull aspectsx000D
of service tasks, freeing time and cognitive demand on human service worker, allowing the worker to makex000D
better choices in high level decision making and planning. In the context of indoor mobile service robots, as ax000D
prerequisite for performing a specific task, the robot must know how to locate itself and a target object. As ax000D
result, the robot must be equipped with a navigation system that is capable of dealing with uncertainties inx000D
social environments. Though foundation techniques exist, very few are found to be adequate in meetingx000D
modern demands. Hence, the scope of this research project is to produce the next generation visual inertialx000D
odometry for robot navigation systems in dynamic indoor environments.