Charlie Guan

Research Scientist, Autonomous Vehicles

Develop planning and prediction algorithms for autonomous vehicles.

Software Engineer, Autonomous Systems

Develop and implment advanced robotic algorithms for reasoning about complex scenes by real-time systems.

Efficient Planning for Near-optimal Manipulation Leveraging Environmental Contact

The motion of inexpensive robots is noisy and not precise enough for tight-tolerance assembly tasks. We develop an algorithm to achieve high precision by leveraging environmental contact. Published at the International Conference on Robotics and Automation (ICRA) 2018. Download PDF

Low-cost Self-driving Wheelchair

Powered wheelchairs are often difficult to operate for its target audience, due to other associated disabilities. We develop a fully-autonomous wheelchair capable of robustly navigating indoor environments based on the Robot Operating System. Download PDF

Massachusetts Institute of Technology

Thesis advisor: Prof. Nicholas Roy

What's that plane?

Developed app to help identify commercial passenger aircraft through answering simple questions. Written in JS using React Native.

iOS Version

Android Version

Vice-president of Information

Managed 13-person team to maintain website and other technical infrastructure of largest graduate student residence in the US. Worked closely with executive team, organized 60+ persons retreats, and other events.

Retractable Miniature Hot-wire Anemometer

Designed, built, and tested miniature retractable airspeed sensor for characterisation of laminar flow control using dielectric barrier discharge devices. Programmed in LabVIEW, tested using custom-built in-situ mini wind tunnel, flown in fall 2013.

Augmented Reality Pokemon

Designed, modelled, and animated Pokemon figures, set up QR tag tracking code and demo in Adobe Flash.