Research Scientist - Autonomous Vehices - Toyota Research Institute
Develop planning and prediction algorithms for autonomous vehicles.
Develop and implment advanced robotic algorithms for reasoning about complex scenes by real-time systems.
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
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
Managed technical specifications and deliverables for development of rugged, enterprise-grade mobile computers. Fast-paced, collaborative engineering development environment.
Thesis advisor: Prof. Nicholas Roy
Thesis advisor: Prof. Jonathan Kelly
Developed app to help identify commercial passenger aircraft through answering simple questions. Written in JS using React Native.
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.
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.
Designed, modelled, and animated Pokemon figures, set up QR tag tracking code and demo in Adobe Flash.