Michele Cipriano

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About

Michele Cipriano is a roboticist whose work focuses on the critical challenge of enabling humanoid robots to navigate complex, real-world environments. His primary research areas include humanoid locomotion, motion planning, and control of wheeled mobile robots. Cipriano’s major contribution lies in developing integrated frameworks that bridge the gap between high-level footstep planning and low-level gait generation, specifically for environments composed of uneven surfaces like stairs. His 2023 paper, "Humanoid motion generation in a world of stairs," which has garnered 13 citations, proposes a novel scheme that combines footstep planning with gait generation to ensure stable and feasible motion. Building on this, his work on "Feasibility-Aware Plan Adaptation in Humanoid Gait Generation" (5 citations) addresses the limitations of traditional Model Predictive Controllers by incorporating feasibility constraints into the planning phase. More recently, Cipriano has extended his expertise to wheeled robots, with a 2025 paper on "Singularity-Free Trajectory Tracking for Steerable Wheeled Mobile Robots" (4 citations), showcasing his versatility in tackling motion control problems across different robotic platforms. His research is instrumental in making humanoid robots more adaptable and robust in unstructured environments.