Special Session

Special Session Ⅰ: Embodied Intelligence in Robot Locomotion

Session Chair: Associate Professor Longchuan Li——Beijing University of Chemical Technology, China

Special Session Information:

Robot locomotion relies on its morphology, control method, and its interaction with the environment.  This session aims to collect papers that show recent efforts to embodied intelligence in robot locomotion.

Topics of interest include but are not limited to:

  • Robot locomotion control

  • Robot locomotion modeling and analysis

  • Robot locomotion principles design

  • Robot and animal locomotion mechanism


Special Session Ⅱ: Human-Computer Interaction (HCI) in Intelligent Robotics and Systems

Session Chairs: Associate Professor Haipeng Wang——Northwestern Polytechnical University, China

Professor Zhouzhou Liu——Xi'an Aeronautical Institute, China

Special Session Information: 

The Special Session on Human-Computer Interaction (HCI) within the context of Intelligent Robotics and Systems seeks to bring together researchers, practitioners, and experts from academia and industry to explore the intersection of robotics and interactive technologies. As intelligent robotics continue to evolve, the role of HCI becomes increasingly pivotal in shaping seamless and effective interactions between humans and machines. This special session aims to foster discussions on novel approaches, challenges, and advancements in HCI within intelligent robotic systems, with a focus on enhancing user experiences, collaboration, and overall system performance.

Topics of interest include but are not limited to:

Adaptive Human-Robot Interaction:

  • Personalized and context-aware interaction

  • Adaptation to user preferences and behaviors

Multi-Modal Interfaces:

  • Integration of speech, gesture, and haptic interfaces

  • Sensory fusion for enhanced communication

User-Centered Design for Robotics:

  • Design methodologies and principles for robotic systems

  • User experience evaluation and usability testing

Collaborative Robotics:

  • Human-robot collaboration in industrial and domestic settings

  • Safety considerations in collaborative environments

Social Robotics:

  • Emotional and social intelligence in robots

  • Applications of social robots in healthcare, education, and entertainment

Augmented and Virtual Reality in Robotics:

  • Immersive interfaces for teleoperation

  • AR/VR-enhanced user experiences in robotic applications

Ethical and Societal Implications:

  • Ethical considerations in robotic design and deployment

  • Societal impact and public perceptions of interactive robots

Cognitive Models for Human-Robot Interaction:

  • Cognitive architectures supporting natural interaction

  • Robot learning and adaptation through human interaction

               

Special Session Ⅲ: Environment Perception and Autonomous Navigation

Session Chair: Professor Zheng Fang——Northeastern University, China

Keywords: Environment Perception, Localization, Mapping, SLAM, Path Planning

Special Session Information: 

This Session will focus on environment perception and autonomous navigation of various mobile robots, including ground unmanned vehicles, aerial vehicles, and underwater robots, etc. We will discuss cutting-edge theories and key technologies that can enable mobile robots perceive intelligently  and navigate autonomously in complex real environments. 

Topics of interest include but are not limited to:

  • Environment Perception

  • SLAM

  • Path Planning

  • Autonomous Navigation 


Special Session Ⅳ: Visual Intelligence in Robot Localization

Session Chair: Associate Professor Huaidong Zhang——South China University of Technology, China

Keywords: Visual Simultaneous Localization, Scene Understanding with Vision, Multi-modality Analysis, Localization Robustness

Special Session Information: 

The Special Session on Visual Intelligence in Robot Localization aims to convene researchers, industry experts, and practitioners to delve into the pivotal role of visual intelligence in enhancing the localization capabilities of robots. As the field of robotics progresses, the integration of advanced computer vision techniques and spatial reasoning is becoming increasingly crucial for achieving accurate and efficient localization in diverse environments. This session seeks to highlight innovative approaches, challenges, and breakthroughs in the realm of visual intelligence, fostering collaborative discussions that can lead to transformative advancements in robotic navigation and positioning.

Topics of interest include but are not limited to:

  • Visual Perception for Localization:

Methods for 2D and 3D environment perception and Real-time visual odometry and mapping techniques

  • Localization and Scene Understanding:

Applications of Novel architectures for improving visual recognition and scene understanding

  • Robustness and Adaptability of Localization:

Strategies for robust localization in dynamic or cluttered environments and Adaptation to changing conditions and occlusions through visual intelligence

  • Localization in Unstructured Environments:

Challenges and solutions for localization in natural settings and simulation-to-real.

  • Sensor Fusion

Integrating visual data with other sensory inputs (LIDAR, IMU) and techniques for improving localization accuracy through multimodal sensor integration


Special Session Ⅴ: Unmanned Systems and Artificial Intelligence

Session Chair: Professor Xiaoru Song——Xi'an Technological University, China

Keywords: Unmanned Aerial Vehicles, Unmanned Ground Vehicles, Underwater Unmanned Systems, Artificial Intelligence, Machine Learning, Deep Learning

Special Session Information: 

The combination of artificial intelligence and unmanned systems is an important trend in the current development of science and technology, involving applications in many fields, including unmanned vehicles, drones, robots and so on. The application of artificial intelligence has made unmanned systems more intelligent and autonomous, driving changes in various industries. With the continuous development of technology, there will be more innovative applications in the future, further improving the capability and efficiency of unmanned systems.

Topics of interest include but are not limited to:

  • Intelligent perception and understanding

  • Decision and path planning

  • Autonomous unmanned system control

  • Multi-agent system

  • Man-machine collaboration


Special Session Ⅵ: Dexterous Hands and Embodied Intelligence

Session Chairs: Professor Han Yuan——Harbin Institute of Technology, Shenzhen, China

Associate Professor Haoqi Peng——Harbin Institute of Technology, Shenzhen, China

Keywords: Dexterous Hands, Embodied Intelligence, Robot Control, Artificial Intelligence, Perception and Execution, Deep Learning

Special Session Information: 

The combination of dexterous hands and embodied intelligence is an advanced research direction in the fields of robotics and artificial intelligence. As key actuators of robots, dexterous hands offer high precision and flexibility, enabling robots to perform complex tasks. Embodied intelligence emphasizes achieving autonomous control through the interaction of perception, action, and the environment. With technologies such as deep learning and reinforcement learning, embodied intelligence equips robots with autonomous perception and decision-making abilities, driving their wide applications in fields such as healthcare, manufacturing, and service. In the future, the further development of dexterous hands and embodied intelligence will make robots more intelligent, flexible, and better able to adapt to complex and changing environments.

Topics of interest include but are not limited to:

  • Dexterous hand design and control

  • Embodied intelligence and robot learning

  • Multimodal perception and manipulation

  • Reinforcement learning applications in dexterous hands

  • Human-robot collaboration and interaction


Special Session Ⅶ: Swarm Intelligence Algorithms and Their Applications

Session Chairs: Professor Rui Wang——National University of Defense Technology, China

Dr. Wenhua Li——National University of Defense Technology, China

Associate Professor Kaiwen Li——National University of Defense Technology, China

Dr. Shuijia Li——National University of Defense Technology, China

Keywords: Swarm Intelligence, Optimization Algorithms, Machine Learning Applications, Metaheuristics, Artificial Intelligence, Real-World Applications

Special Session Information: 

Swarm intelligence, a subfield of artificial intelligence, takes inspiration from the collective behavior of natural systems such as ant colonies, bird flocks, and fish schools. Algorithms like Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Artificial Bee Colony (ABC) have proven to be powerful tools for solving complex optimization problems in a wide range of fields, including engineering, robotics, data science, and smart systems. This special session aims to explore the latest advancements in swarm intelligence algorithms, their theoretical foundations, and their applications in solving real-world challenges. We invite submissions focusing on innovative algorithm design, hybrid approaches, and interdisciplinary applications that demonstrate the potential of swarm intelligence in addressing modern technological and societal issues.

Topics of interest include but are not limited to:

  • Development and analysis of new swarm intelligence algorithms 

  • Hybrid swarm intelligence methods and their applications 

  • Applications of swarm intelligence in machine learning and deep learning 

  • Swarm intelligence in robotics, autonomous systems, and IoT 

  • Real-world optimization problems solved using swarm intelligence 

  • Theoretical studies on the convergence and performance of swarm intelligence algorithms 

  • Comparisons between swarm intelligence and other optimization techniques 

  • Novel applications of swarm intelligence in industries like healthcare, transportation, and finance


Special Session Ⅷ: Intelligent Robotics and Interactive Systems for Education

Session Chair: Associate Professor Haipeng Wang——Northwestern Polytechnical University, China

Special Session Information:

The intersection of intelligent robotics, interactive technologies, and education is transforming the way knowledge is imparted and skills are developed. As the demand for educational methodologies that effectively integrate intelligent systems grows, there is a pressing need for cutting-edge research and innovations that address the challenges and opportunities in this field. This special session invites researchers, practitioners, and educators to contribute original work that explores how intelligent robotics and interactive systems can revolutionize education, with a special focus on techniques such as English as a Medium of Instruction (EMI) methodologies and other interdisciplinary approaches. Join us in shaping the future of intelligent systems for education by sharing your insights, findings, and applications.

Topics of interest include but are not limited to:

Educational Robotics for STEM and Beyond

  • Design and development of intelligent robots for STEM education

  • Application of robotics in teaching humanities, arts, and social sciences

  • Case studies on robotics-based learning in schools, colleges, and universities

AI-Driven Interactive Learning Systems

  • Adaptive and personalized learning systems using artificial intelligence

  • Interactive educational tools for skill development and knowledge dissemination

  • Leveraging natural language processing (NLP) for real-time language and subject tutoring

Intelligent Systems for EMI (English as a Medium of Instruction)

  • Role of intelligent robotics and systems in supporting EMI methodologies

  • Development of multilingual teaching systems for global education

  • Challenges and opportunities in integrating EMI with intelligent technologies

Haptic and Multisensory Interfaces for Education

  • Using haptic technologies for hands-on learning experiences

  • Multisensory approaches to improve engagement and understanding in education

  • Applications of tactile feedback in teaching motor skills and technical training

Ethical and Social Implications of Robotics in Education

  • Addressing inclusivity and accessibility challenges in intelligent educational systems

  • Ethical considerations of deploying robotics in diverse educational settings

  • Social impacts of replacing or augmenting human teachers with intelligent systems

Robotic Tutors and Learning Assistants

  • Development of humanoid or non-humanoid robots as teaching assistants

  • Evaluating the effectiveness of robotic tutors in diverse classroom settings

  • Emotional and social intelligence in robotic learning companions

Gamification and Serious Games with Intelligent Systems

  • Incorporating intelligent technologies in educational gamification

  • Development and evaluation of serious games for enhanced learning outcomes

  • Case studies and applications of gamified learning in various disciplines