Li‐Hong Juang

About

Li-Hong Juang is a leading researcher in intelligent robotics, specializing in humanoid robot vision control, autonomous navigation, and human-robot interaction. His work bridges computer vision and embedded systems to create robots capable of complex, real-world tasks. A standout contribution is the development of a robust visual line-following navigation system for humanoid robots (19 citations), which enables precise path tracking using image processing techniques like thresholding and edge detection. Juang also pioneered fall detection under smart home systems (32 citations), a safety-critical innovation for assistive living. His research extends to multi-robot cooperation, with notable studies on dual humanoid robots communicating via speech (5 citations) and cooperating in task execution (3 citations). In 2021, he demonstrated humanoid robots playing chess through visual control (9 citations), showcasing advanced perception and decision-making. More recently, Juang has tackled locomotion challenges, enabling robots to navigate stairs using zero-moment point control (3 citations) and traverse mazes with depth-first search algorithms (3 citations). With over 100 cumulative citations, his work has significantly advanced the autonomy and practical deployment of humanoid robots in service and domestic environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Fall Down Detection Under Smart Home System

   32 citations · 2015
2. 2
   Robust visual line-following navigation system for humanoid robots

   19 citations · 2018
3. 3
   Visual Tracking Control of Humanoid Robot

   10 citations · 2019
4. 4
   Humanoid robots play chess using visual control

   9 citations · 2021
5. 5
   Intelligent Service Robot Vision Control Using Embedded System

   9 citations · 2019
6. 6
   Intelligent Speech Communication Using Double Humanoid Robots

   5 citations · 2020
7. 7
   Humanoid robot runs maze mode using depth-first traversal algorithm

   3 citations · 2022
8. 8
   The Cooperation Modes for Two Humanoid Robots

   3 citations · 2021
9. 9
   Humanoid robot fetching objects using monocular vision unit

   3 citations · 2022
10. 10
    Humanoid robot runs up-down stairs using zero-moment with supporting polygons control

    3 citations · 2022

Key Collaborators

Contact & Links