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Robot sensing systems

Harnessing Robotics for European Union Forest Habitats Monitoring: Toward a Robotic-Assisted Framework for Standardized Field Surveys

June 29, 2026 by Simone Tolomei, Giovanni Di Lorenzo, Franco Angelini, Leopoldo de Simone, Emanuele Fanfarillo, Tiberio Fiaschi, Silvia Cannucci, Simona Maccherini, Paolo Remagnino, Claudia Angiolini, Manolo Garabini

Abstract: This paper presents a novel approach to forest habitat monitoring using robotics and advanced data analysis techniques. We introduce a quadrupedal robot with LiDAR and onboard cameras to collect detailed data about forest structure and composition. The data is then processed using a combination of data analysis techniques and machine learning algorithms to … [Read more...] about Harnessing Robotics for European Union Forest Habitats Monitoring: Toward a Robotic-Assisted Framework for Standardized Field Surveys

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

A Survey on Soft Robot Adaptability: Implementations, Applications, and Prospects [Survey]

June 29, 2026 by Zixi Chen, Di Wu, Qinghua Guan, David Hardman, Federico Renda, Josie Hughes, Thomas George Thuruthel, Cosimo Della Santina, Barbara Mazzolai, Huichan Zhao, Cesare Stefanini

Soft robots, compared to rigid robots, possess inherent advantages, including higher degrees of freedom, compliance, and enhanced safety, which have contributed to their increasing application across various fields. Among these benefits, adaptability is particularly noteworthy. In this article, adaptability in soft robots is categorized into external and internal adaptability. … [Read more...] about A Survey on Soft Robot Adaptability: Implementations, Applications, and Prospects [Survey]

Sequentially Teaching Sequential Tasks (ST)2: Teaching Robots Long-Horizon Manipulation Skills

April 17, 2026 by Zlatan Ajanović Ravi Prakash Leandro de Souza Rosa Jens Kober

Abstract: Learning from demonstration (LfD) has proved useful for teaching robots complex skills with high sample efficiency. However, teaching long-horizon tasks with multiple skills is challenging as deviations tend to accumulate, the distributional shift becomes more evident, and human teachers become fatigued over time, thereby increasing the likelihood of failure. To … [Read more...] about Sequentially Teaching Sequential Tasks (ST)2: Teaching Robots Long-Horizon Manipulation Skills

Simplifying Data-Driven Modeling of the Volume–Flow–Pressure Relationship in Hydraulic Soft Robotic Actuators: A Practical and Balanced Solution

April 17, 2026 by Sang-Yoep Lee Leonardo Zamora Yañez Jacob Rogatinsky Vi T. Vo Tanvi Shingade Tommaso Ranzani

Abstract: Soft robotic systems are known for their flexibility and adaptability, but traditional physics-based models struggle to capture their complex, nonlinear behaviors. This study explores a data-driven approach to modeling the volume–flow–pressure relationship in hydraulic soft actuators, focusing on low-complexity models with high accuracy. We perform regression … [Read more...] about Simplifying Data-Driven Modeling of the Volume–Flow–Pressure Relationship in Hydraulic Soft Robotic Actuators: A Practical and Balanced Solution

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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.