In order to greet the upcoming 5th National Science and Technology Workers’ Day and celebrate the 40th anniversary of the founding of the Chinese Association for Artificial Intelligence (CAAI), at the same time, in order to promote domestic robotic intelligence research and effectively promote cross-professional background exchanges and cooperation in the robotics field, the Chinese Association for Artificial Intelligence (CAAI) successfully hosted the first “Robot Intelligence-Youth Forum” on May 23, 2021. The event was organized by CAAI Cognitive System and Information Processing Committee, Beijing University of Posts and Telecommunications Modern Post School (School of Automation) Mechanical and Electrical Center, Beijing University of Posts and Telecommunications Ye Pei University School of Innovation and Entrepreneurship, and was held at Beijing University of Posts and Telecommunications. The forum invites young scholars in the field of robotic intelligence to conduct technical exchanges and seminars together.

Dr. Wang Rui, associate researcher of the State Key Laboratory for Complex System Management and Control, institute of Automation, Chinese Academy of Sciences, shared a report on “Bionic Wave Fin Propelled Underwater Vehicle Motion Control”. As a kind of high-tech equipment that can move in the water, underwater vehicle has a certain perception ability and can assist or replace humans in completing a variety of tasks, which has important application values in marine research, marine development, marine environmental protection and other fields. The bionic underwater vehicle developed by imitating the wave propulsion method of fish has the advantages of high efficiency, high mobility, stability, and environmental friendliness. The report first introduced the research background of the bionic underwater vehicle and the current research status at home and abroad; then introduce our research progress from the bionic wave fin propulsion underwater vehicle system design and modeling, basic motion control, fixed depth and orientation control, path tracking and visual hovering, etc.; finally summarize and prospect the research direction.

Dr. Li Haiyuan, a teacher of the School of Automation of Beijing University of Posts and Telecommunications and a tutor of Ye Pei University's School of Innovation and Entrepreneurship, shared “The Current Trend and Research Thinking of Minimally Invasive Surgical Robots”. Robots are an important way to improve the intelligence, unmannedness, and efficiency of the medical field. Modular design and specialized adaptation have become the development trend of medical and other fields, which improves the adaptability of application scenarios and enriches and expands the functions of robots. Teacher Li's research group researched the types and design methods of modular surgical robots. The report introduced its assembly, reconstruction and motion algorithms, and analyzed its integration trends in medical and other fields. By analyzing the current situation and trends of robots in medical surgery scenes, the development status and trends of endoscopic minimally invasive surgical robots and image-guided robots are reviewed, and the robot configuration design, modeling control and calibration algorithm research are carried out.

Dr. Li Changsheng, associate professor and doctoral supervisor of Beijing Institute of Technology/School of Mechanical and Electrical Engineering/Intelligent Robot and System Advanced Innovation Center, shared the report of “Flexible Surgical Robot Facing Human Natural Cavity”. Compared with traditional open surgery, Minimally Invasive Surgery (MIS) has the advantages of small wounds, less bleeding, less pain, and quicker recovery after surgery. At present, it is changing from multi-port endoscopic surgery to single port endoscopic (SPL) surgery and surgery. Natural cavity endoscopic surgery (NOTES) has been developed in the direction of less trauma. The flexible surgical robot can smoothly enter the natural cavity of the human body, assist the doctor in achieving good dexterous and safe operation, and has significant medical application value. The report introduced the development of flexible surgical robots for human natural cavities at home and abroad, as well as the research work of Professor Li's group on minimally invasive surgical robots for the larynx and digestive endoscopic surgical robots.

Dr. Dong Mingjie, lecturer and master tutor of the Institute of Intelligent Machinery, Beijing University of Technology, shared a report on “Design of Parallel Ankle Rehabilitation Robot and Multi-mode Rehabilitation Training”. In traditional ankle rehabilitation training, doctors perform one-to-one physical rehabilitation training for patients. Doctors formulate rehabilitation treatment plans based on their subjective clinical experience, train patients to perform a large number of repetitive exercises, and gradually stimulate and repair the damaged central nervous system. This method has the following problems: First, the workload is large and the efficiency is relatively low; second, the rehabilitation training method is single, and multi-mode rehabilitation training cannot be carried out. The application of advanced robotic technology to clinical rehabilitation of the ankle can give full play to its advantages of automation, high degree of accuracy and suitable for performing repetitive and high-intensity manual labor, which can effectively reduce the labor intensity of medical staff and improve the progress of ankle rehabilitation. The report starts from the design of the parallel ankle rehabilitation robot and the multi-mode rehabilitation training method. It introduces the research work of the research group on the parallel ankle rehabilitation robot, and finally looks forward to the future research direction and trend.

Dr. Hao Yufei, a postdoctoral fellow at the Federal Institute of Technology in Lausanne, Switzerland, shared a report on “Software Hand Intelligent Operation, Grasping and Soft Sensor Research”. Improving the grasping adaptability to objects of various shapes, sizes and hardness has always been a research hotspot of roboticists. After decades of development, the development of robotic grasping has gone through the stages of human-like rigid and dexterous hands, line-driven flexible manipulators and soft hands, but there is still no gripper that can truly adapt to objects of various shapes and sizes. , and cannot meet the requirements of high safety and high load at the same time. Based on the research background of the intelligent grasping and sensing of the soft hand, the report introduces the variable configuration operation of the rigid-soft coupling soft hand, the adaptive grasping of the gripper based on bionic adsorption, and the multi-dimensional force soft capacitive sensing. .

 This article is contributed by the CAAI Cognitive System and Information Processing Committee.