Papers
8
Total Citations
368
H-Index
6
About
Giho Jang is a roboticist whose work spans machine vision, humanoid locomotion, and assistive robotics. He is best known for developing a bridge inspection robot system with machine vision—a highly cited contribution (257 citations) that advanced automated infrastructure monitoring. Jang played a key role in Team DRC-Hubo@UNLV’s participation in the 2015 DARPA Robotics Challenge Finals, where he contributed to robust hardware-software integration enabling a full-sized humanoid to drive a ground vehicle and perform complex egress tasks under degraded communication. His technical overview of the team’s approach (49 citations) remains a reference for disaster-response robotics. Jang also designed a robotic index finger prosthesis using stackable double 4-bar mechanisms (31 citations), demonstrating his ability to translate robotic principles into functional medical devices. His work on infinitely differentiable trajectory planning (10 citations) has implications for smooth, continuous control of mobile robots, while his rock-paper-scissors prediction experiments using muscle activations (6 citations) explore human motion prediction for wearable robotics. Through these diverse contributions, Jang has left a mark on inspection robotics, humanoid autonomy, and prosthetic design.
Research Focus
Key Achievements
Top Papers
- 1Bridge inspection robot system with machine vision257 citations · 2009
- 2
- 3Robotic index finger prosthesis using stackable double 4-BAR mechanisms31 citations · 2013
- 4Ground Vehicle Driving by Full Sized Humanoid10 citations · 2019
- 5
- 6Rock-paper-scissors prediction experiments using muscle activations6 citations · 2012
- 7Team DRC-Hubo@UNLV in 2015 DARPA Robotics Challenge Finals3 citations · 2018
- 8