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Taehyung Kim

2 accepted papers

2024

Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots

ICRA 2024poster

Efficiency and performance are significant challenges in applying Machine Learning (ML) to robotics, especially in energy-constrained real-world scenarios. In this context, Hyperdimensional Computing offers an energy-efficient alternative but has been underexplored in robotics. We introduce ReactHD,…

Cited by 3SourceScholar
2020

Design of an Underactuated Peristaltic Robot on Soft Terrain

IROS 2020poster

This paper presents an innovative robotic mechanism for generating peristaltic motion for robotic locomotion systems. The designed underactuated peristaltic robot utilizes a minimum amount of electromechanical hardware. Such a minimal electromechanical design not only reduces the number of potential…

Cited by 4SourceScholar