Papers
6
Total Citations
61
H-Index
5
About
Bong Huan Jun is a robotics researcher whose work sits at the intersection of underwater robotics, legged locomotion, and autonomous control systems. He is best known for his contributions to the development of **Crabster**, a six-legged subsea walking robot, for which he designed a sophisticated static gait algorithm introducing the novel concepts of gait planning vectors and leg-pair vectors. This framework enabled six distinct adaptive gait modes tailored to varying underwater environments and exploration conditions, representing a significant advance in multi-legged underwater locomotion. Jun's research extends into bio-inspired robotics, including a multi-functional leg design for underwater robots inspired by diving beetles, capable of both walking and swimming. His work on vision-based object tracking — leveraging Kinect cameras, Kalman filtering, and backstepping controllers — demonstrates his interest in intelligent, sensor-driven robot behavior. Earlier contributions include robust adaptive controllers for autonomous underwater vehicle diving control, addressing the notoriously challenging nonlinear hydrodynamics of such systems. With publications spanning from 2005 to 2016 and citations accumulated across robotics and control engineering communities, Jun has established himself as a meaningful contributor to the field of underwater and legged robotics, with his Crabster gait work alone garnering 19 citations.
Research Focus
Key Achievements
Top Papers
- 1Design of Static Gait Algorithm for Hexapod Subsea Walking Robot: Crabster19 citations · 2014
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- 4Multi-functional bio-inspired leg for underwater robots9 citations · 2014
- 5Object following control of six-legged robot using Kinect camera5 citations · 2014
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