SG BoT

"BoT" (Bot) research encompasses the development of autonomous robotic systems and AI-driven tools leveraging large language models (LLMs) for diverse applications. Current research focuses on improving robot behavior generation through efficient LLMs and scene graph representations, enabling tasks like object rearrangement and collaborative manipulation, even with deformable objects. These advancements are impacting fields ranging from database management (automated diagnosis) to network security (botnet detection), demonstrating the broad applicability of LLMs in enhancing robotic capabilities and automating complex tasks. The emphasis is on creating lightweight, real-time, and explainable systems for improved efficiency and usability.