Research Scientist on Robot Joint Module Joint Module System Design & Control / 机器人关节模组系统设计与控制研发科学家_CR

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 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 cont