Design and optimize kinematic and dynamic models for robotic arms and dexterous hands to achieve high-precision control and flexible manipulation Develop path planning and task execution algorithms, including inverse kinematics, trajectory generation, obstacle avoidance, and multi-objective coordination Build simulation environments for robotics and conduct algorithm validation and performance evaluation Design and implement environmental perception modules for robotic arms/hands, including object recognition, pose estimation, and semantic segmentation Develop reasoning strategy models and action models for robotic arms and dexterous hands Collaborate with hardware and application teams to complete system integration and on-site debugging, enhancing robustness and generalization in real-world scenarios Prepare technical documentation and contribute to patent applications, academic publications, and technical exchanges Master's degree or above in Robotics, Automation, Computer Vision, or related fields Solid understanding of kinematic modeling and control theory for robotic arms and dexterous hands Proficient in at least one robotic simulation platform with relevant project experience Experience in computer vision projects and familiarity with common perception models Knowledge of control strategies for robotic arms and dexterous hands Strong programming skills in Python and C++, with good coding practices and engineering capabilities Excellent teamwork and cross-disciplinary communication skills Experience with dexterous hand control, multi-finger grasping, or soft grippers Participation in robotics competitions, open-source projects, or edge deployment Experience developing robotic systems with multimodal perception and language understanding Strong publication record or patent achievements Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
