1 Flowers Team, INRIA, Bordeaux, France 2 Ubisoft La Forge, Bordeaux, France 3 INSERM UMR1093-CAPS, Universit é Bourgogne, Dijon, France 4 Robot Cognition Laboratory, Institute Marey, Dijon, France Developmental psychologists have long-established socio-cognitive abilities as fundamental to human intelligence and development. These abilities enable individuals to enter, learn from, and contribute to a surrounding culture. This drives the process of cumulative cultural evolution, which is responsible for

1 China Basketball College, Beijing Sport University, Beijing, China 2 College of Physical Edu cation, Hangzhou Normal University, Hangzhou, Zhejiang, China 3 Radar Non-Commissioned Officers’ School, Air Force Early Warning Academy, Wuhan, Hubei, China 4 College of Physical Education, Dalian University, Dalian, Liaoning, China The advancements in intelligent action recognition can be instrumental in developing autonomous robotic systems capable of analyzing complex human activities in real-time, contributi

1 Department of Physical Education, Sangmyung University, Seoul, Republic of Korea 2 Nanjing University of Technology, Nanjing, Jiangsu, China Introduction: Currently, using machine learning methods for precise analysis and improvement of swimming techniques holds significant research value and application prospects. The existing machine learning methods have improved the accuracy of action recognition to some extent. However, they still face several challenges such as insufficient data feature extraction,

1 Chair of Neurotechnology, Medical Faculty, Ruhr University Bochum, Bochum, Germany 2 Institute Product and Service Engineering, Ruhr University Bochum, Bochum, Germany 3 Chair Theoret ical Computer Science and Artificial Intelligence, Ruhr West University of Applied Sciences, M ü lheim an der Ruhr, Germany Human activity recognition (HAR) and brain-machine interface (BMI) are two emerging technologies that can enhance human-robot collaboration (HRC) in domains such as industry or healthcare. HAR uses

Nouf Abdullah Almujally 1 Adnan Ahmed Rafique 2 Naif Al Mudawi 3 Abdulwahab Alazeb 3 Mohammed Alonazi 4 Asaad Algarni 5 Ahmad Jalal 6,7 * Hui Liu 8 * 1 Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia 2 Department of Computer Science and IT, University of Poonch Rawalakot, Rawalakot, Pakistan 3 Department of Computer Science, College of Computer Science and Information System, Najran University, Najran,

Xi’ an Research Institute of High-Tech, Xi’ an, Shaanxi, China Physiological signal recognition is crucial in emotion recognition, and recent advancements in multi-modal fusion have enabled the integration of various physiological signals for improved recognition tasks. However, current models for emotion recognition with hyper complex multi-modal signals face limitations due to fusion methods and insufficient attention mechanisms, preventing further enhancement in classification performance. To address

1 Center for X-Mechanics, Zhejiang University, Hangzhou, China 2 ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, China 3 State Key Laboratory of Fluid Power and Mechatronic System, Zhejiang University, Hangzhou, China 4 Institute of Applied Mechanics, Zhejiang University, Hangzhou, China Robot control in complex and unpredictable scenarios presents challenges such as adaptability, robustness, and human-robot interaction. These scenarios often require

1 Faculty of Computing ad AI, Air University, Islamabad, Pakistan 2 Department of Computer Science, College of Computer Science and Information System, Najran University, Najran, Saudi Arabia 3 Centre for Artificial Intelligence Research, Department of Information and Communication Technology, University of Agder, Grimstad, Norway 4 Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia 5 Department of Computer

1 Department of Orthopedics, General Hospital of Northern Theater Command, Shenyang, China 2 Daniel L. Goodwin College of Business, Benedictine University, Chicago, IL, United States 3 Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China This paper introduces the flexible control and trajectory planning medical two-arm surgical robots, and employs effective collision detection methods to ensure the safety and precision during tasks. Firstly, the DH method is employed to

1 KTH MoveAbility, Department of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden 2 Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden Introduction: Wearable exoskeletons are emerging technologies for providing movement assistance and rehabilitation for people with motor disorders. In this study, we focus on the specific gait pathology dropfoot, which is common after a stroke. Dropfoot makes it difficult to achieve foot clearance during swing