Xiaoxiao Cheng
Papers
3
Total Citations
14
H-Index
2
About
Xiaoxiao Cheng is a pioneering researcher at the intersection of surgical robotics, haptic perception, and human-robot interaction. Her work centers on enhancing robotic systems through user-centered design and intelligent control, with a particular focus on shared autonomy and active perception. In her most cited work, "A User-Centered Shared Control Scheme with Learning from Demonstration for Robotic Surgery" (2024, 9 citations), Cheng introduces a framework that blends human expertise with autonomous assistance, enabling robots to learn from expert demonstrations and predict operator intent—significantly improving precision and safety in surgical settings. She further advances robotic perception with "Active Haptic Exploration based on Dual-Stage Perception for Object Recognition" (2023, 3 citations), where she develops an adaptive exploration technique that resolves sensing ambiguities for more robust object recognition. Cheng also explores novel human augmentation in "A virtual reality platform to evaluate the effects of supernumerary limbs’ appearance" (2023, 2 citations), investigating how the design of supernumerary robot limbs impacts user acceptance and embodiment. Her interdisciplinary approach, combining learning from demonstration, haptics, and virtual reality, positions her as a rising leader in creating safer, more intuitive, and adaptive robotic systems for healthcare and beyond.
Research Focus
Key Achievements
Top Papers
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