1. Design and implement position/velocity/force control algorithms (e.g., PID, feedforward control, adaptive control) for actuators such as servo motors and joint modules. 2. Develop robot trajectory planning algorithms (S-curve, interpolation motion, obstacle avoidance path optimization). 3. Construct mechanical system dynamics models (Lagrange method, Newton-Euler method) 4. Perform control strategy simulation verification using MATLAB/Simulink 5. Port and optimize control algorithm C/C++ code for RTOS (e.g., FreeRTOS) or bare-metal environments 6. Collaborate with hardware engineers to debug peripherals including drivers, encoders, and sensors 7. Develop test cases to validate algorithm stability and robustness in real-world scenarios 1.設計並實現伺服電機、關節模組等執行機構的位置/速度/力控演算法（如PID、前饋控制、自適應控制等） 2.開發機器人軌跡規劃演算法（S曲線、插補運動、避障路徑優化） 3.構建機械系統的動力學模型（Lagrange法、Newton-Euler法） 4.使用MATLAB/Simulink進行控制策略仿真驗證 5.在RTOS（如FreeRTOS）或裸機環境下，完成控制演算法的C/C++代碼移植與優化 6.配合硬體工程師調試驅動器、編碼器、感測器等外設 7.編寫測試用例，完成演算法在真實場景下的穩定性與魯棒性驗證

1. Proficient in classical/modern control theory (state-space, frequency-domain design) 2. Familiar with motor principles (DC/stepper/servo/BLDC) 3. Mastery of rigid body dynamics modeling fundamentals 4. Skilled in MATLAB for control system design and simulation 5. Proficient in C/C++ embedded development 6. Familiarity with ROS or real-time operating systems (bonus) 7. Understand the principles of feedback devices such as encoders, IMUs, and force sensors 8. Knowledge of power circuitry and driver fundamentals (e.g., EtherCAT/CAN communication) 1.精通經典/現代控制理論（狀態空間、頻域設計） 2.熟悉電機原理（直流/步進/伺服/BLDC） 3.掌握剛體動力學建模基礎 4.熟練使用MATLAB進行控制系統設計與仿真 5.掌握C/C++嵌入式開發 6.熟悉ROS或即時操作系統（加分項） 7.理解編碼器、IMU、力感測器等回饋器件原理 8.瞭解功率電路、驅動器基礎（如EtherCAT/CAN通信）