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IEEE Robotics & Automation Magazine

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Real-time systems

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

Enhancing Dexterity in Confined Spaces: Real-Time Motion Planning for Multifingered In-Hand Manipulation

December 12, 2024 by Xiao Gao, Kunpeng Yao, Farshad Khadivar, Aude Billard

Dexterous in-hand manipulation in robotics, particularly with multi-fingered robotic hands, poses significant challenges due to the intricate avoidance of collisions among fingers and the object being manipulated. Collision-free paths for all fingers must be generated in real-time, as the rapid changes in hand and finger positions necessitate instantaneous recalculations to … [Read more...] about Enhancing Dexterity in Confined Spaces: Real-Time Motion Planning for Multifingered In-Hand Manipulation

Opportunistic (Re)planning for Long-Term Deep-Ocean Inspection: An Autonomous Underwater Architecture

April 5, 2024 by Elisa Tosello, Paolo Bonel, Alberto Buranello, Marco Carraro, Alessandro Cimatti, Lorenzo Granelli, Stefan Panjkovic, Andrea Micheli

Robots are increasingly used in subsea environments because of their positive impact on human safety and operational capabilities in the deep ocean. However, achieving full autonomy remains challenging because of the extreme conditions they encounter. In this context, we propose an autonomous underwater architecture for long-term deep-ocean inspection that robustly plans … [Read more...] about Opportunistic (Re)planning for Long-Term Deep-Ocean Inspection: An Autonomous Underwater Architecture

Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework

April 3, 2024 by Kaihui Wang, Wei Zou, Ruichen Ma, Jiaqi Lv, Hu Su, Yu Wang, Hongxuan Ma

Disturbances caused by unknown dynamics and environmental factors render the automatic control of underwater vehicles extremely challenging. These effects are complex, time varying, and difficult to model accurately, leading to possible instability in the control process. This article focuses on the disturbance rejection problem of an underactuated bionic underwater vehicle … [Read more...] about Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework

A Hybrid Visual–Haptic Framework for Motion Synchronization in Human–Robot Cotransporting

January 31, 2023 by Xinbo Yu

In this article, we propose a hybrid visual–haptic framework enabling a robot to achieve motion synchronization in human–robot cotransporting. Visual sensing is employed in capturing human motion in real time. To deal with the inherent delays between the human’s initiative motion and the robot’s responsive motion in cotransporting, a human motion prediction method is developed … [Read more...] about A Hybrid Visual–Haptic Framework for Motion Synchronization in Human–Robot Cotransporting

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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.