Neuromorphic Quadratic Programming for Efficient and Scalable Model Predictive Control: Towards Advancing Speed and Energy Efficiency in Robotic Control-Reference-Cited by-同舟云学术

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Neuromorphic Quadratic Programming for Efficient and Scalable Model Predictive Control: Towards Advancing Speed and Energy Efficiency in Robotic Control

Published:2024 Issue: Volume: Page:2-12
ISSN:1070-9932
Container-title:IEEE Robotics & Automation Magazine
language:
Short-container-title:IEEE Robot. Automat. Mag.

Author:

Mangalore Ashish Rao¹^ORCID,Fonseca Gabriel Andres²^ORCID,Risbud Sumedh R.³^ORCID,Stratmann Philipp²^ORCID,Wild Andreas⁴^ORCID

Affiliation:

1. School of Computation, Information, and Technology, Technische Universität München, Munich, Germany

2. Neuromorphic Computing Lab, Intel Labs, Neubiberg, Germany

3. Neuromorphic Computing Lab, Intel Labs, Santa Clara, CA, USA

4. Neuromorphic Computing Lab, Intel Labs, Hillsboro, OR, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/100/4600619/10577438.pdf?arnumber=10577438

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