Hao Jiao

Beijing Normal University, Beijing Automation Control Equipment Institute

Papers

Total Citations

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About

Hao Jiao’s research bridges the critical intersection of career sustainability and robotics, addressing how workers and technology can coexist in rapidly evolving industrial landscapes. In their highly cited 2019 work (74 citations), Jiao proposed a groundbreaking framework for understanding career sustainability during manufacturing innovation, examining how digitalization and automation threaten workers’ long-term professional viability. This research provides essential guidance for organizations navigating the human side of Industry 4.0 transitions. Simultaneously, Jiao tackles the technical challenges of logistics automation, developing an optimization-based motion planner for car-like robots navigating narrow roads (2022). This work solves the real-time path planning problem for non-holonomic robots in constrained environments, enabling safer and more efficient autonomous logistics operations. By addressing both the human and technological dimensions of industrial transformation, Jiao’s research offers a holistic perspective on manufacturing’s future. Their dual focus on worker welfare and robotic efficiency demonstrates a rare ability to bridge social science and engineering, making their contributions valuable to both human resource scholars and robotics engineers seeking sustainable, human-centered automation solutions.