Revolutionizing Interaction: Embodied Intelligence and the New Era of Human-Robot Collaboration

Introduction

With the rapid development of AI technology, its application has become a prominent topic in contemporary society. Integrating AI technology into various aspects of life to enhance the quality of life (for example, human-robot collaboration and remote healthcare) requires a profound understanding of human embodied sensing and environmental awareness. Despite significant advancements in research across various domains, building a comprehensive intelligent system still faces numerous challenges, including achieving a comprehensive embodied perception of the human body and environmental context, processing and integrating multimodal data/signals, developing robust algorithms, establishing high-capacity and secure real-time communication systems, and integrating the system with different application scenarios. Therefore, our workshop will focus on the construction of intelligent environments, including embodiment and environmental perception, algorithm optimization, signal analysis, and processing, as well as various applications of the system, to promote the practical implementation of AI technology in daily life.

The development and application of various artificial intelligence technologies should be guided by addressing the various problems faced by humans. Therefore, it is worth extensively researching the application of comprehensive perception of the human body and the surrounding environment, combined with communication technology and AI algorithms, in various intelligent scenarios. It has the potential to generate new momentum in the field by fostering collaboration, innovative research, and addressing complex challenges.

Embodied Intelligence is an advanced research field that describes how intelligent agents achieve intelligent behaviours and learning through interacting and perceiving the environment. This paradigm emphasizes the significance of the interaction between the human body, robot, and environment in the development of cognition and behaviour. Embodied AI emphasizes the interaction between intelligent agents and the environment, where the agent's perceptual capabilities towards the external world impact its learning and decision-making processes with the environment. To achieve comprehensive and stable perception for intelligent agents requires the integration of various IoT sensing devices, such as auditory sensors (sound, heartbeat), visual sensors (RGBD, imaging), physical sensors (IMU, contact force), physiological sensors (ECG, EMG, and EOG.), and environmental sensors (temperature, and light). Once sensory data is collected, it can be transmitted, processed, and analyzed using various technologies and AI algorithms. It enables many applications, for instance, in robotics, i.e., Human-Robot Interaction and teleoperation. In healthcare, it facilitates remote health monitoring. In transportation, it finds application in traffic management and autonomous driving, among others.

Our workshop aims to explore the main directions of multi-modal perception, advanced AI algorithms, and communication systems in the context of the human body and environmental sensing with different application-oriented. By combining various sensing modalities, including vision, audio, and physiological signals, a comprehensive understanding of the human body and its interaction with the environment can be achieved. Advanced AI and signal processing algorithms play a critical role in processing and analyzing multi-modal data for tasks such as robotics interaction, telemedicine, and smart Transportation. Furthermore, the design of efficient communication systems and infrastructure facilitates real-time data transmission and collaboration among intelligent devices.

This topic exhibits novelty and emerging fields as it merges expertise from multi-modal sensing, signal processing, algorithm optimization, and diverse application domains such as robotics and healthcare. The interdisciplinary nature of the workshop promotes knowledge exchange, encourages collaboration across different disciplines, and fosters synergies with other societies and communities working in the areas of AI, sensing technologies, and communication systems, facilitating cross-pollination of ideas and advancements.

In this satellite workshop, we invite submissions that explore the challenges and solutions associated with embodied intelligence and human-robot collaboration. Topics of interest include, but are not limited to: 

1. Control algorithms for physical collaboration

2. Sensory perception models in Robotics

3. Interpretation of human cues and their implications

4. Cognitive processing and decision-making in Robotics

5. Designing intuitive human-robot interfaces

6. Real-World applications and case studies of embodied intelligence

7. Advanced motor control techniques for collaborative tasks

8. Collaborative task planning and execution in human-robot teams

9. Immersive technologies for human-robot collaboration

10. Real-time robot learning from human collaboration

Contact us:          icassp.eihrc@gmail.com