Ge Sun

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About

Ge Sun is a rising leader in bio-inspired robotics, with a focus on enabling legged robots to not only traverse but also physically interact with complex, human-centric environments. Her research uniquely bridges the gap between locomotion and manipulation, arguing that legs can serve as dexterous tools for object handling in spaces inaccessible to wheeled or tracked systems. Her most cited work, a 2023 review on legged robots for object manipulation (31 citations), has helped define this emerging subfield. Sun’s technical contributions include a joint-space central pattern generator (CPG) for safe foothold planning and body pose control during climbing (10 citations), which dramatically reduces computational cost compared to traditional methods. More recently, she has pioneered a learning-based hierarchical control framework (2024) that emulates the layered architecture of the central nervous system—from brain to spinal CPGs—to achieve more adaptive and robust locomotion. By drawing direct inspiration from neuromechanics, Sun’s work is not only advancing robotic autonomy but also providing engineers with a principled blueprint for building machines that move with the fluidity and resilience of animals.