Oscar Low

Robotics Engineer who builds perception systems, with experience in simulation, state estimation, and semantics.

My nearly two years of research experience spans the full robotics-to-ML pipeline from real-time perception and SLAM on physical platforms to designing and training deep learning models from scratch. I'm looking forward to working with trending areas including VLAs and semantics.

01 BracketButler: Automation for Server Tasks Deployed adaptable policies for ArUco perception, waypoint navigation, and hierarchical tray-transport tasks on the BracketBot platform. 02 Robotics Researcher — Learning Systems Lab, TUM Benchmarking + deployment of SLAM pipelines in simulation and real, and research in semantic perception as part of ESROP Global Fellowship. 03 Computer Vision & Deep Learning Researcher — Lin Lab, UofT Architected a Temporal Convolution Network for 3D zebrafish trajectory prediction, and a multi-view recording pipeline with water refraction correction.

View all work →

Languages

  • Python
  • C++
  • MATLAB
  • JavaScript

Robotics

  • ROS
  • Sensor fusion
  • Isaac Sim

Mechanical

  • 3D Printing
  • Fusion 360
  • Welding, Machining

Hardware

  • [STM32 / Arduino]
  • [KiCad]
  • [CAN / I2C / SPI]