Quadratic programming

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

June 24, 2025 by Ashish Rao Mangalore, Gabriel Andres Fonseca Guerra, Sumedh R. Risbud, Philipp Stratmann, Andreas Wild

Applications in robotics or other size-, weight- and power-constrained autonomous systems at the edge often require real-time and low-energy solutions to large optimization problems. Event-based and memory-integrated neuromorphic architectures promise to solve such optimization problems with superior energy efficiency and performance compared to conventional von Neumann … [Read more...] about Neuromorphic Quadratic Programming for Efficient and Scalable Model Predictive Control: Towards Advancing Speed and Energy Efficiency in Robotic Control

IEEE Robotics & Automation Magazine (RAM) has over 14,000 readers who are the people who drive this remarkable technology. More than half work in basic research and many of the others are top level engineers and decision-makers in industry. This magazine highlights new concepts in Robotics and Automation that are applied to real-world systems. It delivers tutorial and survey papers by distinguished experts in the field, organizes focused special issues on hot topics, and provides a forum for disseminating and discussing emerging trends, novel achievements, and selected news relevant to the development of the whole community active in these fields worldwide.

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

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