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Service robots

Toward Industry 5.0: A Neuroergonomic Workstation for a Human-Centered, Collaborative Robot-Supported Manual Assembly Process

September 10, 2025 by Nikola Knežević, Andrej Savić, Zaviša Gordić, Arash Ajoudani, Kosta Jovanović

This article brings the concept of neuroergonomic workcell with its essential components (psychological and physical assessment, nonphysical, physical, and strategic support) for improving the well-being and productivity of workers at their workplaces. A proof-of-concept neuroergonomic human-centered workstation is demonstrated in a real factory environment for a typical … [Read more...] about Toward Industry 5.0: A Neuroergonomic Workstation for a Human-Centered, Collaborative Robot-Supported Manual Assembly Process

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

Variable Transmission Mechanisms for Robotic Applications: A Review [Survey]

June 24, 2025 by Jihyuk Park, Joon Lee, Hyung-Tae Seo, Seokhwan Jeong

Actuators play a crucial role in robotics, determining the force and speed capabilities necessary for varied tasks, directly affecting the performance of the robotic system. With the growing reliance on robotics in both industrial applications and daily life, innovative actuator research has expanded significantly. Despite advances, traditional actuators encounter limitations … [Read more...] about Variable Transmission Mechanisms for Robotic Applications: A Review [Survey]

Bridging the Reality Gap: Analyzing Sim-to-Real Transfer Techniques for Reinforcement Learning in Humanoid Bipedal Locomotion

March 18, 2025 by Donghyeon Kim, Hokyun Lee, Junhyeok Cha, Jaeheung Park

Reinforcement learning (RL) offers a promising solution for controlling humanoid robots, particularly for bipedal locomotion, by learning adaptive and flexible control strategies. However, direct RL application is hindered by time-consuming trial-and-error processes, necessitating training in simulation before real-world transfer. This introduces a reality gap that degrades … [Read more...] about Bridging the Reality Gap: Analyzing Sim-to-Real Transfer Techniques for Reinforcement Learning in Humanoid Bipedal Locomotion

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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.