Allen - Home

Bio

Currently, I am a machine learning software developer at Epson Edge (Epson's R&D wing).

Previously, I was an undergraduate researcher at the Robot Vision and Learning Lab working on perception for automated domain inference. Before that, I was investigating LiDAR based indoor navigation at the Autonomous Space Robotics Laboratory. Prior to that, I was a summer researcher at the Learning Systems and Robotics Lab, investigating control barrier functions and the impacts of code reproducibility.

Outside of academia, I have always been big into design teams. Currently, I am leading the 3D computer vision team on aUToronto (University of Toronto's self-driving car team). Prior to that, I built autonomous multicopters as Software Lead on UTAT (University of Toronto Aerospace Team). In high school, I captained my VEX Robotics team 2381C to finish top 10 in the World Skills Championships.

Education

University of Toronto (cGPA: 3.98/4.0)

BASc. in Engineering Science | 2021-2026
Robotics Major, Artificial Intelligence Minor

Relevant Courses: Deep Learning (PyTorch), Machine Learning, Mobile Robotics, Control Systems, Numerical Methods, Bayesian & Probabilistic Methods, Dynamics, Embedded Systems, Operating Systems, Digital & Computer Systems

Publications

Robot executing on learned domain from demonstration.

Automated Planning Domain Inference for Task and Motion Planning
Jinbang Huang, Allen Tao, Rozilyn Marco, Miroslav Bogdanovic, Jonathan Kelly, Florian Shkurti
Submitted to ICRA
Paper Link

MakeWay: Object-Aware Costmaps for Proactive Indoor Navigation Using LiDAR
Binbin Xu, Allen Tao, Hugues Thomas, Jian Zhang, Timothy D. Barfoot
Submitted to RA-L
Paper Link

What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities
Siqi Zhou, Lukas Brunke, Allen Tao, Adam W. Hall, Federico Pizarro Bejarano, Jacopo Panerati, Angela P. Schoellig
Accepted (IEEE Control Systems Magazine)
Paper Link

Projects & Competitions