Motion planning is a key component for robots to realize navigation. A number of great works have been conducted in the world. They are grid-based approaches, sampling-based approaches, and trajectory optimization. I'll summarize the pros and cons of each motion planning algorithms in the future. ...

This week, I was working on the following tasks: Formal analysis of a new motion planner with theoretical guarantees in terms of computation Survey of other motion planning algorithms using trajectory optimization. Although I was able to understand pros and cons of my new motion planner, I sti...

I was working on the following things this week: Proof sketch of new motion planner algorithms in terms of sub-optimality Finalize the paper, which was recently accepted for RA-L! Participated in ICRA conferences, where I could communicate the authors of other great papers. In particular, I wa...

Simultaneous Localization and Mapping (SLAM) is studied in the past decades, resulting in formulations that allow robots to estimate their pose and model their environments. In the SLAM framework, a robot does not care about planning, so that a man gives the robot the trajectory to follow during the...