Chuanlong Zang is a PhD student at Bosch Research and TU Berlin with 12 years of practical engineering experience focused on Multi-Agent Path Finding, robotics, and machine learning. He combines academic rigor from TUM and TU Berlin with hands-on industry projects—from cloud-trained robotic manipulators and mobile-robot localization to industrial IoT analytics and a meat-classification prototype that outperformed human graders. Comfortable across the stack, he has built data pipelines and visualizations (Azure, Databricks, MongoDB, Dash, Node-RED) and applied RL algorithms (DDPG, SAC, TD3, HER) to real-world robotic tasks. Based in Renningen, Germany, he brings a systems-thinking approach that blends mechatronics, ML, and cloud-scale experimentation, often turning research ideas into production-ready prototypes.
Contributions:1 release, 101 commits, 67 pushes in 10 months
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