Rongge Zhang

Tsinghua University, Polytechnique Montréal

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About

Rongge Zhang is a robotics researcher whose work bridges the critical gap between bipedal locomotion and multi-robot autonomy. Zhang’s primary research areas include bipedal robot balance control, collaborative simultaneous localization and mapping (C-SLAM), and active semantic exploration for autonomous systems. In a foundational 2018 paper (9 citations), Zhang introduced a standing push recovery method for bipedal humanoid robots, leveraging Linear Inverted Pendulum Model (LIPM) dynamics with state feedback control of Center of Mass, Capture Point, and Zero-Moment Point—a contribution that advanced humanoid stability in dynamic environments. More recently, Zhang has pioneered decentralized C-SLAM for planetary analogue environments (2025, 3 citations), addressing the formidable challenge of enabling multi-robot missions without pre-existing localization infrastructure, a technology poised to transform lunar and Martian exploration. Complementing this, Zhang’s 2024 work on active semantic mapping and pose graph spectral analysis (2 citations) innovatively integrates SLAM performance metrics directly into exploration behavior, moving beyond traditional decoupled approaches. This cohesive body of work demonstrates Zhang’s commitment to solving real-world robotic challenges—from humanoid balance to collaborative space exploration—making significant strides toward truly autonomous, resilient robotic systems.