Junchao Ni

Southwest University of Science and Technology

Papers

Total Citations

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About

Junchao Ni is a researcher focused on advancing 3D perception and reconstruction technologies for robotics and manufacturing. His work centers on developing cost-effective systems that enable precise surface mapping and environmental understanding, particularly through the innovative use of 2D laser scanners for 3D applications. His most-cited paper, "3D Perception and Reconstruction System Based on 2D Laser Scanner" (2018), addresses critical challenges in robot motion control and additive manufacturing by proposing a system that overcomes the limited work area of single devices. This contribution has garnered attention for its practical approach to enhancing spatial awareness in autonomous systems. Ni’s research bridges the gap between affordable sensing hardware and high-fidelity 3D modeling, making advanced perception more accessible for industrial and robotic applications. His work is particularly notable for its potential to improve efficiency in automated manufacturing processes and robotic navigation, laying groundwork for future innovations in real-time 3D environment reconstruction.