Bo Li

Title: Bo Li: Innovator in Robotics and Machining Technologies

Introduction

Bo Li is a prominent inventor based in Nanjing, China. He has made significant contributions to the field of robotics and machining, holding a total of five patents. His innovative work focuses on enhancing the efficiency and effectiveness of robotic systems in industrial applications.

Latest Patents

One of Bo Li's latest patents is a multi-robot collaborative planning method for machining large capsule members of spacecraft. This method involves planning the number of instances of rotational displacement of a capsule and the angle of each rotation. It also includes planning a multi-robot station layout and station switching strategy. By fixing the position of the capsule and robot stations, the method efficiently plans a multi-robot machining task time sequence. This approach enhances the rigidity of robot collaboration and streamlines the machining timeline, ultimately boosting overall machining efficiency.

Another notable patent is the variable-parameter stiffness identification and modeling method for industrial robots. This method divides the effective working space of a robot into multiple cubic regions. For a specific machining task, different loads are applied to an end effector at various positions and postures. The robot joint stiffness is identified based on the relationship between the loads and end deformation, allowing for accurate stiffness control during the machining process.

Career Highlights

Bo Li has worked at esteemed institutions such as Nanjing University of Aeronautics and Astronautics and Nanjing University. His experience in these organizations has contributed to his expertise in robotics and machining technologies.

Collaborations

Some of Bo Li's notable coworkers include Wei Tian and Wenhe Liao. Their collaboration has likely fostered innovative ideas and advancements in their respective fields.

Conclusion

Bo Li's contributions to robotics and machining technologies demonstrate his commitment to innovation and efficiency. His patents reflect a deep understanding of the complexities involved in robotic systems, paving the way for future advancements in the industry.