Postdoctoral Scholar at University of California, Berkeley
Berkeley, California, United States
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Summary
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Jaeyoung Lim is a Postdoctoral Scholar and robotics engineer with a decade of experience building autonomous aerial and ground systems, currently based at UC Berkeley and contributing as a core developer to the PX4 open-source autopilot. His work blends hands-on embedded and simulation development—implementing parachute and sensor plugins in Gazebo, refining local planners for obstacle avoidance, and extending MAVLink/MAVROS integrations for gimbal, VTOL and rover offboard control. He earned a PhD in Robotics from ETH Zürich and has a track record of translating research into robust, field-ready software used by the global PX4 community. Notably, he restructures critical planner code for deterministic fixed-rate execution, improving reliability in real-time avoidance systems.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Mechanical and Aerospace Engineering, Bachelor’s Degree Mechanical and Aerospace Engineering at Seoul National University
High School Physics, High School Physics at Hansung Science High School
Doctor of Philosophy - PhD Robotics, Doctor of Philosophy - PhD Robotics at ETH Zürich
Set of plugins, models and worlds to use with OSRF Gazebo Simulator in SITL and HITL.
Role in this project:
Embedded Systems Engineer / IoT Developer
Contributions:287 reviews, 158 commits, 371 PRs in 3 years 1 month
Contributions summary:Jaeyoung made significant contributions to the `px4/px4-sitl_gazebo-classic` repository, focusing on the implementation of a parachute plugin and related model. Their work involved adding the parachute model, associated meshes, and the logic for triggering parachute deployment based on flight termination state. They also addressed comments, handled compatibility with older Gazebo versions, and refactored code for better formatting and clarity. The user also implemented features to handle video stream information and status and worked on integrating wind data into the vehicle dynamics.
PX4 avoidance ROS node for obstacle detection and avoidance.
Role in this project:
Back-end Developer & Robotics Engineer
Contributions:1 release, 15 reviews, 69 commits in 3 years
Contributions summary:Jaeyoung's primary contribution involved refactoring and improving the local planner node within the PX4 avoidance ROS node. Key changes included reorganizing code by moving main processes into subclass functions and initializing the node handle in the main function. Furthermore, the user implemented a fixed-rate execution for the local planner, which likely enhances the predictability and reliability of the obstacle avoidance system. The changes directly impacted the core functionality of the local planner, improving its structure and operational characteristics.
ignitionros2ros-noderosobstacle-detection
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Jaeyoung Lim - Postdoctoral Scholar at University of California, Berkeley