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About

Chase Kew is a researcher at the forefront of human-robot interaction and embodied AI, whose work bridges the gap between intuitive communication and physical intelligence. His key research areas include non-verbal communication for robots and the development of generalist AI models for real-world robotic systems. In his influential 2022 paper, "From Message to Expression," Kew tackled the critical challenge of enabling robots with constrained physical forms—those lacking anthropomorphic features—to effectively convey their internal states. This work, which has garnered 5 citations, established foundational principles for promoting psychological safety and transparency in human-robot teams. More recently, Kew contributed to the landmark 2025 report "Gemini Robotics," which has already earned 4 citations. This work represents a significant leap forward, introducing a new family of AI models purpose-built to translate the remarkable generalist capabilities of large multimodal models from the digital realm into physical action. By addressing the formidable challenge of grounding AI in the physical world, Kew is helping to shape a future where robots are not only more capable but also more trustworthy and intuitive partners for humans.