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Real-time systems

Real-Time Localization Scoring for Challenging Industrial Environments: Practical Experiments With Bluepath Robotics

June 29, 2026 by Abdurrahman Yilmaz, Umut Dumandag, Aydin Cagatay Sari, Ismail Hakki Savci, Hakan Temeltas

Abstract: Autonomous mobile robots (AMRs) are revolutionizing industries by enhancing flexibility and efficiency, particularly in dynamic environments, such as automotive manufacturing. These environments pose challenges due to their constantly changing layouts, unpredictable obstacles, and varying conditions, which impact the performance of localization systems. This … [Read more...] about Real-Time Localization Scoring for Challenging Industrial Environments: Practical Experiments With Bluepath Robotics

PhysioSense: An Open Source Multimodal Monitoring Framework for Human Movement and Behavior Analysis – Tutorial

June 29, 2026 by Ilias El Makrini, Tom Turcksin, Taner Incirci, Elias Thiery, Stijn Kindt, Rossana Lovecchio, Hoang-Long Cao, Menthy Denayer, Erard Lamine, Stijn Huysentruyt, Tom Verstraten, Bram Vanderborght

Accurate assessment of human movement and behavior is essential in fields such as ergonomics, rehabilitation, and human-robot interaction. This paper presents PhysioSense, an open-source framework for synchronized multimodal data acquisition and management. Built on the lab streaming layer (LSL), PhysioSense integrates heterogeneous data streams from kinematic, dynamic, and … [Read more...] about PhysioSense: An Open Source Multimodal Monitoring Framework for Human Movement and Behavior Analysis – Tutorial

Large-Language-Model-Aided Assistive Robot for Single-Operator Bimanual Teleoperation: Introduction and Validation of a Flexible Assistance System

April 17, 2026 by Haolin Fei Songlin Ma School of Engineering, Lancaster University, Lancaster, U.K. Guanglong Du Elmira Yadollahi Hak-Keung Lam Angela Faragasso

Abstract: Bimanual teleoperation tasks are highly demanding for human operators, requiring the simultaneous control of two robotic arms while managing complex coordination and cognitive load. Current approaches to this challenge often rely on rigid control schemes or task-specific automations that do not adapt well to dynamic environments or varied operator needs. This … [Read more...] about Large-Language-Model-Aided Assistive Robot for Single-Operator Bimanual Teleoperation: Introduction and Validation of a Flexible Assistance System

Dynamic Importance-Weighted Fusion Network Based on Dynamic Convolutions for Hand Posture Recognition: A Technique Based on Red, Green, Blue Plus Depth Cameras

September 10, 2025 by Jing Qi, Li Ma, Yushu Yu

Hand posture recognition technology makes humancomputer interaction more natural and efficient. Existing hand posture recognition algorithms are mainly based on RGB images or depth data, each of which has its limitations: the former is susceptible to the interference of lighting and background color, while the latter is difficult to capture details and affects accuracy. To … [Read more...] about Dynamic Importance-Weighted Fusion Network Based on Dynamic Convolutions for Hand Posture Recognition: A Technique Based on Red, Green, Blue Plus Depth Cameras

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

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About the Magazine

As the flagship magazine of the IEEE Robotics and Automation Society, IEEE Robotics and Automation Magazine (RAM) covers the latest developments in robotics and automation. Its scope ranges from cutting-edge technological advances to emerging social, economic, ethical, and policy issues shaping the field.  Published quarterly (March, June, September, and December), RAM features both high-impact original research articles written in an engaging and accessible style, as well as reviews, columns and opinion pieces addressing a wide range of timely topics.

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