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

Corporate Research Research and Technology Center Asia Pacific is a team of international & interdisciplinary scientists driving cutting edge research to leverage on Asias 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 motortransmissionsensorcontrollerload 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DSPMCUFPGA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/CPythonMATLAB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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Remote Work :

No

Employment Type :

Full-time