Behavior Synthesis

Behavior synthesis in robotics aims to enable robots to execute complex tasks from high-level instructions, bridging the gap between semantic understanding and physical action. Current research focuses on developing robust and generalizable methods, employing techniques like multimodal code generation, diffusion models for trajectory planning, and formal methods for verification and safety. These advancements are crucial for creating more adaptable and reliable robots capable of interacting effectively with humans and navigating unstructured environments, impacting fields ranging from manufacturing and healthcare to personal assistance.