Pengbo Feng

Wuhu Hit Robot Technology Research Institute

Papers

Total Citations

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About

Pengbo Feng is a robotics researcher whose work bridges the critical gap between safe autonomous navigation and human-robot interaction. His primary research areas include mobile robot obstacle avoidance, rehabilitation robotics, and bioinspired sensing systems. Feng’s most impactful contribution is a hybrid obstacle avoidance method for wheeled mobile robots operating in unstructured environments, which combines informed rapidly-exploring random trees with dynamic pedestrian prediction—a paper that has garnered 16 citations for addressing one of robotics’ most persistent challenges. In rehabilitation engineering, he developed an anti-disturbance sliding mode controller for variable stiffness actuators used in lower limb exoskeletons, achieving 9 citations by improving human-robot interaction performance for neurologically disabled patients. Most recently, Feng introduced a bioinspired electronic skin that mimics weakly electric fish’s proximity sensing, enabling robots to detect both proximity and pressure for active environmental interaction. This work, published in 2024 with 6 citations, represents a novel approach to tactile sensing. Feng’s research consistently demonstrates a commitment to making robots safer, more adaptive, and more responsive to human needs, positioning him as an emerging voice in intelligent robotic systems.