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Jiajun Long
Junior Robotics Researcher specializing in vision-based manipulation and learning-based control
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About
Robotics software candidate with experience spanning simulation (MuJoCo, Gazebo, Webots) and ROS1/ROS2 development, including hardware-oriented work on a hexapod and a Mecademic Meca500 R3 arm. Built a visually guided interactive indoor robot system using a CV pipeline plus POMDP + imitation learning with PPO-based residual RL, and has practical debugging experience improving LiDAR SLAM stability and migrating sensor interfaces from ROS1 to ROS2.
Experience
Education
Key Strengths
- Built an end-to-end MuJoCo simulation system for a visually guided interactive robot project
- Implemented learning pipeline combining imitation learning with PPO-based RL residuals under a POMDP formulation
- Hands-on ROS1/ROS2 experience across simulation and hardware-oriented projects (hexapod, robotic arm)
- Successfully migrated a six-axis force sensor interface from ROS1 to ROS2 and validated data consistency
- Debugged and improved LiDAR SLAM stability via sensor data inspection and mapping parameter tuning
- Implemented and tuned classical motion planning (Dijkstra, A*) using costmap/planning parameter validation
- Demonstrates fast ramp-up on new tools via documentation-first learning and small validation projects
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