1.연사: 박대형 (KAIST /전산학부)

2. 주제: Robot may not Work as We Want: Pathways to Precise, Constraint-Aware Behavior         * Title is changed partially.

3. 일시: 5/21 (목요일), 오후 4시~5시 30분

4. 장소: L409

5. Abstract : While recent advances in robot foundation models and vision-language-action models have accelerated the development of general-purpose robots, these systems still struggle to satisfy the levels of precision and safety required for reliable real-world deployment. In particular, current robot policies often fail to consistently comply with diverse safety constraints while generating the accurate and fine-grained behaviors demanded in practical environments.

In this talk, I will present our recent efforts to address these challenges from two directions. First, I will introduce an SSM based Policy (SPo), which enables multi-granularity learning and action generation for precise robotic manipulation while overcoming the limitations of transformer-based policies. Second, I will discuss constraint learning methods that infer safety and operational constraints from human demonstrations and transfers them to unseen environments and tasks.

Together, these advances highlight a path toward robotic systems that move beyond general versatility to become precise, safe, and trustworthy partners for real-world industrial and collaborative applications.