Hwadong Sun

About

Hwadong Sun’s research focuses on the automation and robotic maintenance of building facades, with a particular emphasis on gondola-typed robots designed to replace human labor in hazardous high-rise environments. His major contributions include developing robust height estimation and window detection methodologies using visual cameras, which are essential for autonomous navigation and safe operation of these robots. Sun also advanced mobile robot navigation in constrained duct environments, addressing the challenge of cleaning narrow, unhygienic spaces. His work on joint torque sensors for robot hands enabled low-cost compliance control, furthering dexterous manipulation. With over 20 citations across his most-cited papers, Sun’s research has directly addressed critical safety hazards in construction and maintenance, offering practical solutions that reduce human risk and labor costs. Notably, his 2012 papers on facade robot height estimation and window detection, each garnering 5 and 4 citations respectively, have laid foundational sensing techniques for autonomous building maintenance systems. Sun’s contributions stand out for their direct application to real-world safety challenges, making him a key figure in construction robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Height estimation of gondola-typed facade robot

   5 citations · 2012
2. 2
   Window detection for gondola robot using a visual camera

   4 citations · 2012
3. 3
   Mobile robot navigation under duct environment

   3 citations · 2011
4. 4
   The Position and Orientation Measurement of Gondola Using a Visual Camera

   3 citations · 2011
5. 5
   Height Estimation of Gondola-Typed Facade Robot

   3 citations · 2012
6. 6
   The development of robot hand with joint torque sensor based on torque control

   2 citations · 2010
7. 7
   Vision Rope Attribute Measurement Sensor for Gondola-Typed Facade Robot

   2 citations · 2012

Key Collaborators

Contact & Links