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About

Aaron Khoo is a pioneering researcher in artificial intelligence for interactive entertainment and multi-robot systems. His work focuses on creating computationally efficient AI that delivers compelling, believable behavior without overwhelming hardware constraints. Khoo’s most influential contribution is the development of two innovative AI systems for computer games: Groo (Generic Robot, Object-Oriented) and tt14m (Trash-Talking 14-year-old Moron). These systems demonstrate how simple, inexpensive AI techniques can produce engaging non-player character (NPC) behavior, challenging the assumption that more complexity yields better gameplay. His 2002 paper on this subject has garnered 44 citations, establishing a foundational approach for game AI. Khoo further advanced NPC control with behavior-based techniques, emphasizing that player perception of intelligence often outweighs actual complexity—a principle that has shaped efficient, realistic character design. In multi-robot coordination, he proposed architectures that bridge behavior-based efficiency with symbolic representational power, addressing critical challenges in autonomous team control. With over 85 citations across his key works, Khoo’s research remains influential for developers and roboticists seeking practical, cost-effective AI solutions that prioritize performance and user experience.