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Qiang lu
Senior Robotics & Embodied AI Engineer specializing in closed-loop perception-to-action systems
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About
Robotics software engineer who built the behavior-tree orchestrator for the Vulcan Stow robotic system, migrating from a state machine to significantly improve testability. Experienced with ROS 1 and Baidu Apollo workflows (rosbag, LiDAR/image extraction) from self-driving simulation work at LG Silicon Valley Lab, and currently focused on stable Docker/docker-compose-based deployments with disciplined QA and hotfix processes.
Experience
Education
Key Strengths
- Designed and implemented behavior-tree-based orchestrator for a robotic stow workflow
- Improved system testability by migrating from state machines to behavior trees
- Led cross-team collaboration with perception and motion planning via regular syncs and rapid issue resolution
- Methodical debugging of virtual-physical mismatch using detailed logs and controlled mock-mode service runs
- Reduced inter-subsystem latency by deploying a low-latency kernel
- Release stability ownership: QA feedback loop, expanding integration tests, and controlled hotfix patching
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