Research Scientist on Robot Joint Module Joint Module System Design & Control

Job Description

Corporate Research – Research and Technology Center Asia Pacific is a team of international & interdisciplinary scientists, driving cutting edge research to leverage on Asia’s excellent expertise. Scientifically verified knowledge and insights are the foundation of our sustainable solutions. Through our innovation, we develop a vision for the future product of Bosch, evaluate its feasibility, and convert it into practical solutions. We set trends and enable new business opportunities for Bosch.

We are looking for a highly motivated Research Scientist in robot joint module system design and control to develop cutting-edge control technologies for next-generation robotic actuators and joint modules.

The position focuses on module-level control of a single robotic joint, covering motor control, actuator control, sensing, system modeling and the interaction between control and joint hardware. Candidates with strong backgrounds in motor control, servo control, motion control, electromechanical actuators or precision drive systems are highly welcome, even without direct experience in robotics.

Main responsibility includes:

• Conduct research, pre-development and patent filing of innovative control concepts for robotic joint modules and electromechanical actuators
• Develop advanced motor and actuator control algorithms for single-joint robotic modules
• Design and optimize torque/current, velocity and position control loops for high-performance robotic actuators
• Develop control strategies to achieve high torque density, dynamic response, positioning accuracy, stability and energy efficiency
• Conduct research on disturbance rejection, friction compensation, feedforward control, parameter identification and model-based control for robotic joint modules
• Develop and validate torque control and force-related control functions for robotic actuators, including impedance/compliance control where appropriate
• Analyze the influence of gearbox/transmission, friction, backlash, stiffness, inertia, load variation and mechanical resonance on joint control performance
• Conduct system modeling, simulation and experimental validation of motor–transmission–sensor–controller–load systems
• Implement and validate control algorithms on real-time embedded platforms, and conduct prototype testing and performance optimization
• Work closely with mechanical and electrical engineers to optimize joint hardware and control as an integrated system
• Work closely with corporate research hub in Renningen, Germany on project activities and competence development
• Work closely with business units to supply cutting edge and competitive technology solutions and to transform them to products

主要职责包括：

• 开展机器人关节模组及机电执行器创新控制技术的研究、预研开发及专利申请
• 开发面向单关节机器人模组的电机及执行器控制算法
• 设计并优化高性能机器人执行器的力矩/电流环、速度环及位置环
• 开发提升机器人关节扭矩密度、动态响应、定位精度、稳定性及能量效率的控制策略
• 开展机器人关节模组的扰动抑制、摩擦补偿、前馈控制、参数辨识及模型驱动控制等技术研究
• 开发并验证机器人执行器的力矩控制及力相关控制功能，包括适用情况下的阻抗/柔顺控制
• 分析减速器/机械传动、摩擦、回差、刚度、惯量、负载变化及机械共振等因素对关节控制性能的影响
• 开展电机—机械传动—传感器—控制器—负载系统的建模、仿真及实验验证
• 在实时嵌入式控制平台上实现并验证控制算法，开展样机测试及性能优化
• 与机械及电气研发人员紧密合作，实现关节硬件与控制系统的一体化优化
• 与德国Renningen中央研究院团队紧密合作，开展项目研发及技术能力建设
• 与博世各业务部门紧密合作，为业务部门提供具有竞争力的前沿技术解决方案，并推动技术成果向产品转化

Qualifications

Master degree w/ 3 years working experience or PhD degree in electrical engineering, control engineering, automation, mechatronics or related majors

· Expert knowledge and rich experience in electric motor control, servo control or actuator control, with strong theoretical and practical understanding of closed-loop control systems

· Strong expertise in PMSM/BLDC motor control, including FOC/SVPWM, current/torque control, velocity control and position control

· Strong experience in servo system design, controller tuning, system identification and dynamic performance optimization

· Experience with advanced control methods, such as feedforward control, disturbance rejection, friction compensation, model-based control, adaptive control, observer-based control or vibration suppression

· Experience on robot joint / robotic actuator control is a strong plus; candidates from industrial servo, precision motion control, aerospace actuators, electric drives or other electromechanical systems are also highly welcome

· Good understanding of robotic joint module hardware is necessary, including motor, gearbox/transmission, encoder, bearing, actuator electronics and mechanical load

· Good understanding of the impact of gear ratio, backlash, friction, stiffness, inertia, transmission efficiency and mechanical resonance on actuator control performance

· Experience with real-time implementation of control algorithms on DSP, MCU, FPGA or other embedded control platforms is necessary

· Proficient in MATLAB/Simulink or other system modeling and simulation tools

· Good at programming (C/C++, Python, MATLAB, etc.) is necessary

· Experience with torque sensing, force sensing, impedance control, compliant control or high-performance robotic actuators is a plus

• Excellent communication skills, fluent in English (oral and written)
• Efficient, goal-oriented, structured working style, experienced in project work
• Strong documentation and writing skills
• Passionate for innovation
• Strong team player, open to work in an international environment

电气工程、控制工程、自动化、机电一体化等相关专业硕士，3年以上相关工作经验；或博士学位

· 在电机控制、伺服控制或执行器控制领域具有深厚的专业知识及丰富的理论与实践经验，深入理解闭环控制系统

· 深入掌握PMSM/BLDC电机控制，熟悉FOC/SVPWM、电流/力矩控制、速度控制及位置控制

· 具有丰富的伺服系统设计、控制器参数调试、系统辨识及动态性能优化经验

· 具有先进控制方法相关经验，包括前馈控制、扰动抑制、摩擦补偿、模型驱动控制、自适应控制、观测器控制或振动抑制等

· 具有机器人关节/机器人执行器控制经验者优先；具有工业伺服、精密运动控制、航空航天执行机构、电驱系统或其他机电系统控制经验者同样欢迎

· 具备良好的机器人关节模组硬件知识，熟悉电机、减速器/机械传动、编码器、轴承、执行器电子器件及机械负载等关键部件

· 理解减速比、回差、摩擦、刚度、惯量、传动效率及机械共振等因素对执行器控制性能的影响

· 具有基于DSP、MCU、FPGA或其他嵌入式控制平台进行实时控制算法开发与实现的经验

· 熟练使用MATLAB/Simulink或其他系统建模与仿真工具

· 熟悉C/C++、Python、MATLAB等编程语言

· 具有力矩传感、力传感、阻抗控制、柔顺控制或高性能机器人执行器相关经验者优先

• 优秀的沟通能力，能够熟练使用英语进行口头及书面交流
• 工作高效、目标导向、思路清晰，具有良好的项目工作经验
• 具备优秀的技术文档及科研写作能力
• 对技术创新具有热情
• 具有良好的团队合作精神，能够适应国际化工作环境

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