DongHan Son

About

DongHan Son is a robotics researcher whose work centers on the design and optimization of novel mobile robotic platforms, with a particular focus on stair-climbing and locomotion in challenging environments. His major contributions include the development of tri-wheel-based stair-climbing robots, where he systematically explored tail shape and body profile design to enhance stability and performance. Son also introduced the LEVO platform, which employs wheel-mode switching primitives to adapt to different terrains, and SPIRA, a screw wheel-based robot capable of switching between locomotion modes. His research extends to robust design methodologies, as demonstrated in his work on a screw-based crawling robot optimized for granular surfaces using the Taguchi method. With over 47 citations across his most-cited papers, Son’s work has practical implications for search-and-rescue, inspection, and exploration robotics. His achievements include advancing the understanding of mechanical design trade-offs in mobile robots, making his research valuable for students and engineers interested in robot locomotion and design optimization.

Research Focus

Key Achievements

Top Papers

1. 1
   Design exploration and comparative analysis of tail shape of tri-wheel-based stair-climbing robotic platform

   15 citations · 2022
2. 2
   LEVO: Mobile Robotic Platform Using Wheel-Mode Switching Primitives

   14 citations · 2022
3. 3
   SPIRA: Screw Wheel-Based Mobile Robot for Switching Primitives

   7 citations · 2023
4. 4
   Robust Design of a Screw-Based Crawling Robot on a Granular Surface

   6 citations · 2021
5. 5
   Optimal Design of Body Profile for Stable Stair Climbing Via Tri-wheels

   5 citations · 2023

Key Collaborators

Contact & Links