Welcome
Welcome to the IEEE SMC Embodied AI Systems Technical Committee! We are dedicated to fostering collaboration and driving innovation in embodied artificial intelligence (AI). Our focus lies in developing systems that seamlessly integrate advanced AI technologies with physical interactions, addressing challenges in dynamic and multifaceted environments.
Embodied AI systems are revolutionizing industries by combining autonomous perception, decision-making, and execution capabilities with the robust learning potential of large-scale models. These systems can dynamically adapt to changing environments, optimize performance, and enhance safety across applications such as industrial automation, intelligent manufacturing, and human-machine collaboration.
Our Goal
Embodied AI is emerging as a transformative paradigm that bridges the gap between artificial intelligence and real-world physical systems. Traditional AI systems often operate in isolated or limited scenarios, lacking the adaptability and physical interactivity needed for complex environments. By embedding intelligence into systems that perceive, learn, and act autonomously in the physical world, embodied AI offers unprecedented potential to enhance productivity, safety, and innovation across industries.
The Embodied AI Systems Technical Committee aims to:
- Expand the theoretical foundations and practical applications of embodied AI.
- Enhance systems with multimodal perception, adaptive learning, and intelligent control.
- Foster advancements in human-robot interaction and collaborative dynamics.
- Promote the development of standards, ethical guidelines, and interoperability for embodied AI systems.
Our ultimate goal is to build intelligent, adaptable systems that improve productivity, safety, and efficiency across industries, while contributing to advancements in embodied intelligence as a transformative technology.
Mission and Vision
The Technical Committee (TC) on Embodied AI Systems is dedicated to advancing knowledge in cutting-edge embodied AI technology across five core areas: robotics (robot design), perception (sensing and information fusion), decision-making (intelligent control), interaction (human-machine dynamics), and control (secure interaction). From an embodied AI perspective, the committee’s primary mission is to leverage this expertise to develop innovative methodologies and technologies that tackle the challenges of interoperability, governance, autonomy, precise control, and emergent behaviors within embodied AI systems. These advancements aim to enhance the design and performance of embodied AI systems.
In particular, the development of technology with robust control, intelligent perception, and adaptive learning capabilities—combined with in-depth understanding of embodied AI principles—is critical for applications in complex operational environments, such as digital product packaging, automotive assembly, and the creation of new industrial products. This TC addresses both foundational theory and practical applications of embodied AI systems and champions its progress in dynamic, multifaceted scenarios.
The TC also provides a platform for knowledge exchange and dissemination to support the interests of researchers, practitioners, policymakers, and the public at the forefront of embodied AI systems. In addition, the committee will promote and assist in establishing standards and guidance for Cybernetics in alignment with the evolving needs of this field.
Learn More
Our areas of interest include:
- LLM-Driven Task Understanding and Planning: Using Large Language Models to enhance task comprehension, adaptive planning, and real-time execution.
- Human-Robot Interaction: Improving contextual awareness and intuitive collaboration through advanced interaction techniques.
- Adaptive Control and Precision: Developing technologies for dynamic, high-precision responses in complex environments.
- Multimodal Perception and Sensor Fusion: Fusing sensory data for robust environmental interpretation.
- Standardization and Advanced Applications: Exploring real-world use cases and establishing standards in embodied AI.
Join Us
Our TC plans to:
- Organize international symposia and conferences: Providing a platform to discuss cutting-edge topics in embodied AI systems.
- Host special sessions and workshops: Facilitating knowledge exchange at IEEE SMC conferences.
- Collaborate with industry: Building joint forums and partnerships to promote innovation and application.
- Edit special issues: Publishing focused sections in IEEE Transactions or related journals.
Become a member to actively participate in shaping the future of embodied AI systems!.
TC Leadership
