I am currently a third-year Ph.D. candidate in Information Science at Japan Advanced Institute of Science and Technology (JAIST). My research interests focus on the interdisciplinary area of robot visual grasping, AI security, and human-robot interaction, aiming to enhance the safety of AI-powered visual grasping systems in human-robot interaction scenarios by designing reliable and stable grasping policies.
Quality-focused Active Adversarial Policy for Safe Grasping in Human-Robot Interaction
Chenghao Li, Razvan Beuran, and Nak Young Chong IEEE Transactions on Automation Science and Engineering (T-ASE), 2025, Revision Paper •
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Monozone-centric Instance Grasping Policy in Large-scale Dense Clutter
Chenghao Li, and Nak Young Chong IEEE/ASME Transactions on Mechatronics (T-MECH), 2025 Paper •
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Shortcut-enhanced Multimodal Backdoor Attack in Vision-guided Robot Grasping
Chenghao Li, Ziyan Gao, and Nak Young Chong IEEE Transactions on Automation Science and Engineering (T-ASE), 2025 Paper •
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Membership: IEEE Robotics and Automation Society (RAS) Member, IEEE Graduate Student Member
Reviewer: IEEE Transactions on Automation Science and Engineering (T-ASE), Imaging and Vision Computing,
Computers and Graphics, IEEE International Conference on Ubiquitous Robots (UR)
Beyond research, I have a deep passion for photography, which I have been practicing for over ten years. I particularly enjoy black-and-white street photography, as it allows me to capture raw, timeless moments and find relaxation through observing everyday life from unique perspectives.