Seonghoon Noh — accepted AI-conference papers

2024

RB5 Low-Cost Explorer: Implementing Autonomous Long-Term Exploration on Low-Cost Robotic Hardware

Adam Seewald, Marvin Chancán, Connor M. McCann, Seonghoon Noh, Omeed Fallahi, Hector Castillo +2

ICRA 2024poster

This systems paper presents the implementation and design of RB5, a wheeled robot for autonomous long-term exploration with fewer and cheaper sensors. Requiring just an RGB-D camera and low-power computing hardware, the system consists of an experimental platform with rocker-bogie suspension. It ope…

Cited by 0 Source ↗code ↗Scholar ↗

2020

Pinbot: A Walking Robot with Locking Pin Arrays for Passive Adaptability to Rough Terrains

Seonghoon Noh, Aaron M. Dollar

ICRA 2020poster

To date, many control strategies for legged robots have been proposed for stable locomotion over rough and unstructured terrains. However, these approaches require sensing information throughout locomotion, which may be noisy or unavailable at times. An alternative solution to rough terrain locomoti…

Cited by 3 Source ↗Scholar ↗