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Robot sensing systems

HuBotVerse: Toward Internet of Human and Intelligent Robotic Things With a Digital Twin-Based Mixed Reality Framework

September 10, 2025 by Dandan Zhang, Ziniu Wu, Jin Zheng, Yifan Li, Zheng Dong, Jialin Lin

Although the Internet of Robotic Things (IoRT) has enhanced the productivity of robotic systems in conjunction with the Internet of Things (IoT), it does not inherently support seamless human-robot collaboration. This paper presents HuBotVerse, a unified framework designed to foster the evolution of the Internet of Human and Intelligent Robotic Things (IoHIRT). HuBotVerse is … [Read more...] about HuBotVerse: Toward Internet of Human and Intelligent Robotic Things With a Digital Twin-Based Mixed Reality Framework

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

Large-Scale Vine Robots for Industrial Inspection: Developing a New Framework to Overcome Limitations With Existing Inspection Methods

September 10, 2025 by William E. Heap, Steven Man, Vedad Bassari, Steven Nguyen, Elvy B. Yao, Neel A. Tripathi, Nicholas D. Naclerio, Elliot W. Hawkes

Industrial facilities such as chemical factories, gas terminals, and power plants can contain kilometers of piping that require meticulous inspection for leaks and defects prior to operation. This is a costly and time-consuming process that sometimes requires dismantling sections of pipe. While current internal inspection devices such as borescopes, “pipe inspection gadgets,” … [Read more...] about Large-Scale Vine Robots for Industrial Inspection: Developing a New Framework to Overcome Limitations With Existing Inspection Methods

Door-to-Door Parcel Delivery From Supply Point to User’s Home With Heterogeneous Robot Team: The euROBIN First-Year Robotics Hackathon

September 10, 2025 by Alejandro Suarez, Rainer Kartmann, Daniel Leidner, Luca Rossini, Johann Huber, Carlos Azevedo, Quentin Rouxel, Marko Bjelonic, Antonio Gonzalez-Morgado, Christian Dreher, Peter Schmaus, Arturo Laurenzi, François Hélénon, Rodrigo Serra, Jean-Baptiste Mouret, Lorenz Wellhausen, Vicente Perez-Sanchez, Jianfeng Gao, Adrian Simon Bauer, Alessio De Luca, Mouad Abrini, Rui Bettencourt, Olivier Rochel, Joonho Lee, Pablo Viana, Christoph Pohl, Nesrine Batti, Diego Vedelago, Vamsi Krishna Guda, Alexander Reske, Carlos Alvarez, Fabian Reister, Werner Friedl, Corrado Burchielli, Aline Baudry, Fabian Peller-Konrad, Thomas Gumpert, Luca Muratore, Philippe Gauthier, Franziska Krebs, Sebastian Jung, Lorenzo Baccelliere, Hippolyte Watrelot, Andre Meixner, Anne Köpken, Mohamed Chetouani, Pascal Weiner, Florian Lay, Felix Hundhausen, Anne Reichert, Noémie Jaquier, Florian Schmidt, Marco Sewtz, Freek Stulp, Lioba Suchenwirth, Rudolph Triebel, Xuwei Wu, Begoña Arrue, Rebecca Schedl-Warpup, Marco Hutter, Serena Ivaldi, Pedro U. Lima, Stéphane Doncieux, Nikos Tsagarakis, Tamim Asfour, Anibal Ollero, Alin Albu-Schäffer

Logistics and service operations involving parcel preparation, delivery, and unpacking from a supply point to a user’s home could be carried out completely by robots in the near future, taking advantage of the capabilities of the different robot morphologies for the logistics, outdoor, and domestic environments. The use of robots for parcel delivery can contribute to the goals … [Read more...] about Door-to-Door Parcel Delivery From Supply Point to User’s Home With Heterogeneous Robot Team: The euROBIN First-Year Robotics Hackathon

Curriculum-Based Reinforcement Learning for Quadrupedal Jumping: A Reference-Free Design

June 24, 2025 by Vassil Atanassov, Jiatao Ding, Jens Kober, Ioannis Havoutis, Cosimo Della Santina

Deep reinforcement learning (DRL) has emerged as a promising solution to mastering explosive and versatile quadrupedal jumping skills. However, current DRL-based frameworks usually rely on pre-existing reference trajectories obtained by capturing animal motions or transferring experience from existing controllers. This work aims to prove that learning dynamic jumping is … [Read more...] about Curriculum-Based Reinforcement Learning for Quadrupedal Jumping: A Reference-Free Design

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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.