
Over four months, Jonathan Wong developed advanced sensor-based balance control features for the KoalbyMQP/RaspberryPi-Code_24-25 repository, focusing on real-world and simulated robotics. He implemented multi-IMU support and pressure sensor integration, enabling robust center-of-pressure calculations and PID-tuned balance control. Using Python and C++, he built a URDF-based kinematic model, created testing frameworks, and introduced reinforcement learning with PyTorch for dynamic balance. His work included hardware integration, codebase reorganization, and simulation environment updates, resulting in a maintainable, testable platform. The depth of his engineering addressed both control accuracy and project scalability, supporting reliable deployment from simulation to physical hardware.

March 2025: Delivered end-to-end sensor-based balance capabilities on KoalbyMQP/RaspberryPi-Code_24-25, covering MCC DAQ pressure sensor interface, pressure-sensor driven balance control with trajectory planning, and PPO-based RL for balance using fused IMU data. Enhanced hardware interfacing, sensor fusion, control, and learning components; included testing scripts; prepared platform for simulation-to-deployment. No major bugs reported this period.
March 2025: Delivered end-to-end sensor-based balance capabilities on KoalbyMQP/RaspberryPi-Code_24-25, covering MCC DAQ pressure sensor interface, pressure-sensor driven balance control with trajectory planning, and PPO-based RL for balance using fused IMU data. Enhanced hardware interfacing, sensor fusion, control, and learning components; included testing scripts; prepared platform for simulation-to-deployment. No major bugs reported this period.
February 2025 monthly summary for KoalbyMQP/RaspberryPi-Code_24-25 highlighting feature delivery, codebase improvements, and impact on project velocity and reliability.
February 2025 monthly summary for KoalbyMQP/RaspberryPi-Code_24-25 highlighting feature delivery, codebase improvements, and impact on project velocity and reliability.
November 2024 monthly performance summary for KoalbyMQP/RaspberryPi-Code_24-25 focusing on balance control and simulation readiness. Delivered significant improvements to center-of-pressure (CoP) based balance estimation, fused IMU data processing, and PID-tuned balancing, accompanied by new dynamic balance tests and essential bug fixes. Updated simulation environments to ensure compatibility with balance tests, enabling faster validation of dynamic motions and stability under real-time conditions.
November 2024 monthly performance summary for KoalbyMQP/RaspberryPi-Code_24-25 focusing on balance control and simulation readiness. Delivered significant improvements to center-of-pressure (CoP) based balance estimation, fused IMU data processing, and PID-tuned balancing, accompanied by new dynamic balance tests and essential bug fixes. Updated simulation environments to ensure compatibility with balance tests, enabling faster validation of dynamic motions and stability under real-time conditions.
October 2024 performance summary for KoalbyMQP/RaspberryPi-Code_24-25. Delivered multi-IMU support with an IMUManager to orchestrate data from multiple IMUs in Koalby_T within CoppeliaSim, and integrated pressure/force sensors across real hardware and simulation with a shift to CoP-based balancing groundwork. Updated Robot to consume IMUManager and sensor data, and renamed VelBalance to IMUBalance with parameter refinements to support per-sensor pressure calculations.
October 2024 performance summary for KoalbyMQP/RaspberryPi-Code_24-25. Delivered multi-IMU support with an IMUManager to orchestrate data from multiple IMUs in Koalby_T within CoppeliaSim, and integrated pressure/force sensors across real hardware and simulation with a shift to CoP-based balancing groundwork. Updated Robot to consume IMUManager and sensor data, and renamed VelBalance to IMUBalance with parameter refinements to support per-sensor pressure calculations.
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