Kunyu Peng

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About

Kunyu Peng is a researcher at the forefront of human-centered robotics, computer vision, and assistive technology, with a focus on developing intelligent systems that enhance the interaction between humans and robots. His work spans several interconnected domains, including material recognition, human action recognition, and simultaneous localization and mapping (SLAM), reflecting a broad yet cohesive research agenda aimed at making autonomous systems more capable and inclusive. Among his most notable contributions is MateRobot (2024, 16 citations), a pioneering wearable robotic system that enables people with visual impairments to recognize materials before physical contact — a meaningful advance in assistive robotics that addresses a largely overlooked user need. His research on skeleton-based action recognition under noisy labels (2024, 11 citations) tackles a critical challenge in human-robot collaboration, improving safety and decision-making in shared spaces. His tightly-coupled LiDAR-visual SLAM framework (2023, 10 citations) further demonstrates his versatility, addressing robust autonomous navigation in challenging environments. More recently, his SynthAct project explores synthetic data generation for activity recognition, pushing toward privacy-preserving and generalizable human-robot collaboration solutions. Peng's growing citation record signals a researcher making increasingly meaningful contributions to assistive and autonomous robotics.