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IEEE Robotics & Automation Magazine

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Autonomous systems

Towards Fully Integrated Autonomous Excavation: Autonomous Excavator for Precise Earth Cutting and Onboard Landscape Inspection

September 10, 2025 by Inkyu Jang, Junha Kim, Dongjae Lee, Changhyeon Kim, Changsuk Oh, Youngbum Kim, Sangwook Woo, Heejee Sung, H. Jin Kim

Autonomous excavator systems can alleviate the issues caused by the shortage of skilled labor forces and increasing labor costs. For autonomous excavation, real-time landscape estimation, excavation path generation, control, and precise landscape inspection are all essential. In this article, we propose and experimentally validate an integrated autonomous excavator system … [Read more...] about Towards Fully Integrated Autonomous Excavation: Autonomous Excavator for Precise Earth Cutting and Onboard Landscape Inspection

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

GeMuCo: Generalized Multisensory Correlational Model for Body Schema Learning

June 24, 2025 by Kento Kawaharazuka, Kei Okada, Masayuki Inaba

Humans can autonomously learn the relationship between sensation and motion in their own bodies, estimate and control their own body states, and move while continuously adapting to the current environment. On the other hand, current robots control their bodies by learning the network structure described by humans from their experiences, making certain assumptions on the … [Read more...] about GeMuCo: Generalized Multisensory Correlational Model for Body Schema Learning

Opinion– Autonomous Robotic Surgical Systems

September 21, 2023 by Eleonora Tagliabue

While executing a surgical procedure, surgeons not only rely on their specific medical knowledge but also on a set of skills that are “obvious” to them and allow for intuitively evaluating and reacting to the intervention evolution. Such skills belong to what is usually called common sense , which is essential to carry out an intervention. Although general common sense refers … [Read more...] about Opinion– Autonomous Robotic Surgical Systems

Toward Holistic Scene Understanding

January 30, 2023 by Florenz Graf

The long-term vision for robotics is to have fully autonomous mobile robots that perceive the environment as humans do or even better. This article transfers the core ideas from human scene perception onto robot scene perception to contribute toward a holistic scene understanding of robots. The first contribution is to extensively survey and compare state-of-the-art robot scene … [Read more...] about Toward Holistic Scene Understanding

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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.

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IEEE Robotics & Automation Magazine  publishes four issues per year: March, June, September and December.