Papers
9
Total Citations
160
H-Index
7
About
Liang Lu’s research bridges the gap between industrial automation and intelligent robotics, with a focus on motion planning, autonomous exploration, and collision avoidance. His early work on folding cartons using fixtures (72 citations) introduced a flexible, robot-driven approach to packaging, enabling rapid changeovers without fixed automation. More recently, Lu has advanced autonomous navigation for aerial and mobile robots in unstructured environments. His optimal frontier-based exploration planner (33 citations) and semantics-aware receding horizon planner (12 citations) enhance real-time scene understanding and object-centric mapping. He also developed the Dynamic Window with Virtual Goal method (11 citations) for reactive obstacle avoidance using motion prediction, and an MPC-based framework (9 citations) for safe trajectory re-planning near humans. His 2025 work on a coarse-to-fine fabric alignment system integrates visual servoing and admittance control to automate garment manufacturing tasks traditionally reliant on skilled labor. With a career spanning from packaging automation to cutting-edge UAV exploration and human-safe manipulation, Lu’s contributions demonstrate a sustained impact on both practical manufacturing and autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1Folding cartons with fixtures: a motion planning approach72 citations · 2000
- 2
- 3Semantics-Aware Receding Horizon Planner for Object-Centric Active Mapping12 citations · 2024
- 4
- 5
- 6
- 7
- 8Folding cartons with fixtures: a motion planning approach6 citations · 2003
- 9