Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots-Reference-Cited by-同舟云学术

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

Published:2024-05-13 Issue: Volume: Page:5176-5182
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Kwon Hyukjun¹,Kim Kangwon¹,Lee Junyoung²,Lee Hyunsei²,Kim Jiseung²,Kim Jinhyung³,Kim Taehyung³,Kim Yongnyeon³,Ni Yang⁴,Imani Mohsen⁴,Suh Ilhong³,Kim Yeseong¹

Affiliation:

1. DGIST,Department of Artificial Intelligence,Daegu,South Korea,42988

2. DGIST,Department of Electrical Engineering and Computer Science,Daegu,South Korea,42988

3. COGA-ROBOTICS,Seoul,South Korea,04763

4. University of California,Department of Computer Science,Irvine,CA,United States of America,92697

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610176.pdf?arnumber=10610176

Reference23 articles.

1. Hardware for machine learning: Challenges and opportunities

2. Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors

3. FELIX

4. Hyperdimensional computing with 3D VRRAM in-memory kernels: Device-architecture co-design for energy-efficient, error-resilient language recognition

5. Thrifty: training with hyperdimensional computing across flash hierarchy;Gupta

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