Spatial AI for Autonomous Robot Locomotion
Session Overview
This talk introduces spatial AI technologies that enable “physical AI” and autonomous movement in robots. It will cover core components of spatial intelligence—such as SLAM (Simultaneous Localization and Mapping), path planning, and motion control—provide a technical overview, and share application cases using an in-house navigation framework for diverse environments, including mobile robots, drones, and legged robots. The session will conclude with a discussion of future directions for spatial AI.
Outline:
- What is Physical AI?
- Overview of spatial AI technologies
- Case studies: autonomous robot mobility powered by spatial AI
- Technologies for autonomous flight and legged locomotion
- Outlook for spatial AI
- Closing remarks
Speaker
Prof. Myung has built deep experience and expertise in robotics engineering. He began his career in the VR Research Department at ETRI, then worked on the home-service robot development team at Samsung Advanced Institute of Technology. He is currently at KAIST, where he focuses on spatial AI and develops a wide range of robotic technologies.