Max Robotics — Global Service Robot Directory + US Certification

About

Yuhui Hao is a leading researcher at the intersection of robotics, computer architecture, and embodied AI, specializing in hardware acceleration for real-time robotic optimization. Their major contributions center on developing domain-specific accelerators that overcome the fundamental performance and energy bottlenecks in autonomous systems. Hao’s seminal work, “ORIANNA” (2024, 20 citations), pioneered an accelerator generation framework that exploits the sparse computational structures inherent in robotic algorithms, achieving orders-of-magnitude efficiency gains over general-purpose approaches. Their earlier “Energy Efficient and Runtime Reconfigurable Accelerator for Robotic Localization” (2022, 9 citations) introduced configurable hardware architectures that enable accurate, low-power localization under stringent on-board resource constraints. Hao has also advanced factor graph accelerators for LiDAR-inertial odometry (2022, 5 citations) and unified optimization frameworks (2025), establishing factor graphs as a common substrate for localization, planning, and control. Their most recent work, “Dadu-Corki” (2025, 5 citations), extends this expertise to algorithm-architecture co-design for embodied AI-powered robotic manipulation. With over 40 total citations and a consistent focus on bridging algorithmic innovation with efficient hardware implementation, Hao’s research is shaping the next generation of autonomous machines capable of real-time, energy-efficient operation in the physical world.