A. Ho

Papers

Total Citations

H-Index

About

A. Ho’s research bridges the gap between autonomous robotics and distributed sensor systems, with a focus on intelligent decision-making in complex environments. Ho’s most cited work, “A collaborative sensor grids framework” (2008, 28 citations), pioneers the integration of sensor networks with grid computing to enable real-time environmental monitoring and proactive event response—a foundational contribution to cyber-physical systems. In robotics, Ho developed neural network-based motion planning algorithms that achieve near-optimal, collision-free navigation for mobile robots. The 2002 paper on binary and varied terrains (5 citations) formulates motion planning as a classification problem, mapping robot maneuvers to terrain conditions, while the 2005 follow-up (2 citations) introduces adaptive error back-propagation to learn optimal paths from human demonstrations. Though citation counts are modest, Ho’s work is notable for its early fusion of machine learning with sensor-grid architectures and its practical approach to robot path planning under real-world constraints. These contributions offer valuable insights for students and researchers working at the intersection of robotics, sensor networks, and intelligent control.