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: Autonomous Navigation

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

Keywords: Localization, Mapping, SLAM, Path Planning

Special Session Information: 

This Session will focus on 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 navigate autonomously and intelligently in complex real environments. 

Topics of interest include but are not limited to:

  • Visual/LiDAR SLAM

  • Localization

  • Motion Planning

  • Trajectory Tracking


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 ⅤUnmanned 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