Xiao Ma is a research scientist with a PhD from the National University of Singapore and eight years of experience at the intersection of uncertainty modeling, reinforcement learning, and representation learning for robotics. Currently at ByteDance after leading research at Dyson and Sea, Xiao blends deep academic grounding with applied research that informs real-world robotic and agent systems. His work spans both foundational methods and practical deployments—evidenced by internships at SenseTime and Intel and teaching roles in robot motion planning and AI. Based in Singapore, he also explores large language model agents and multi-modal LLM applications, signaling a shift from robotic perception and control toward intelligent agent architectures.
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