Papers
4
Total Citations
61
H-Index
3
About
Chen-Lung Lu is a pioneering researcher at the intersection of assistive robotics and advanced manufacturing, whose work spans two transformative domains. His most impactful contribution addresses a critical societal need: independent mobility for blind and visually impaired individuals. Lu developed a deep reinforcement learning-based assistive guiding robot that leverages ultra-wideband beacons and semantic feedback to navigate complex pedestrian environments—work that has garnered 46 citations and represents a significant leap in human-robot interaction for accessibility. In parallel, Lu is advancing the frontier of metal additive manufacturing through multi-robot Wire Arc Additive Manufacturing (WAAM). His research tackles the fundamental challenges of geometric precision in 3D-printed metal parts, introducing innovative "scan-n-print" methodologies and open-source software architectures that democratize access to this technology. Notably, his work on configuration-dependent robot kinematics and calibration addresses the critical issue of accuracy across entire workspaces, enabling more reliable industrial applications. With recent publications in 2025 already accumulating citations, Lu's dual focus on assistive navigation and manufacturing robotics demonstrates a rare ability to bridge human-centered design with industrial precision—making him a rising figure in both socially impactful and technically demanding fields of robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multi-Robot Scan-n-Print for Wire Arc Additive Manufacturing7 citations · 2025
- 3
- 4Configuration-Dependent Robot Kinematics Model and Calibration2 citations · 2025