RoboCup THMOS Humanoid Small Team
Real humanoid robot field deployment, network adaptation, finite-state-machine debugging, and competition troubleshooting.
Background
I joined THMOS in RoboCup China humanoid Small group, where the team won silver / second place. The experience demonstrates real-robot field deployment, network adaptation, finite-state-machine debugging, and troubleshooting.
My Work
- Supported deployment of High Torque XiaoPai humanoid robots.
- Configured robot networking, IP planning, and competition-network adaptation.
- Implemented/fixed remote-controller binding settings for stable competition flow.
- Read and debugged finite-state-machine code for startup and task-switching issues.
- Used Linux/Git for field-side file management and version switching.
Field Constraints
The main difference from lab testing is that time pressure, network setup, startup sequence, and hardware state are all less controllable. My focus was not redesigning algorithms, but making robots start, connect, respond, and execute reliably in the field.
Transferable Skills
- Quickly understanding an existing robot codebase.
- Adapting robot devices to unfamiliar network environments.
- Separating failures into network, configuration, state-machine, and hardware categories.
- Keeping changes reproducible under competition pressure.
Boundary
This project demonstrates field deployment and system debugging, not full ownership of vision, gait, or decision algorithms.