Papers
5
Total Citations
73
H-Index
4
About
Miu-Ling Lam is a pioneering researcher at the intersection of robotics, cloud computing, and computational art. Her work spans three key domains: cloud-based robotic path planning, autonomous sensor network deployment, and creative robotic photography. Lam’s most impactful contribution is the "Path Planning as a Service (PPaaS)" framework (33 citations), which revolutionized service robotics by offloading complex navigation computations to the cloud, enabling robots to overcome unstructured environment challenges. She also developed the ISOGRID algorithm (23 citations), an efficient coverage enhancement method for mobile sensor networks that autonomously deploys nodes to maximize sensing coverage while avoiding obstacles. In a striking fusion of robotics and art, Lam created computational light painting and kinetic photography techniques (8 citations), where robot-manipulated flat-panel displays generate swept-volume light paintings through non-linear motion—transforming traditional photography into a programmable, robotic medium. Her earlier work on grasp planning with kinematic constraints (5 citations) further demonstrates her versatility in robotic manipulation. Lam’s research uniquely bridges practical engineering solutions with creative expression, establishing her as a visionary in both technical robotics and computational art.
Research Focus
Key Achievements
Top Papers
- 1Path planning as a service PPaaS: Cloud-based robotic path planning33 citations · 2014
- 2
- 3Computational light painting and kinetic photography8 citations · 2018
- 4Grasp planning with kinematic constraints5 citations · 2002
- 5Computational swept volume light painting via robotic non-linear motion4 citations · 2016