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Safety

Models of Human Behavior for Human–Robot Interaction and Automated Driving: How Accurate Do the Models of Human Behavior Need to Be?

September 16, 2024 by Gustav Markkula, Mehmet Dogar

There are many examples of cases where access to improved models of human behavior and cognition has allowed the creation of robots that can better interact with humans, and not least in road vehicle automation, this is a rapidly growing area of research. Human–robot interaction (HRI) therefore provides an important applied setting for human behavior modeling—but given the vast … [Read more...] about Models of Human Behavior for Human–Robot Interaction and Automated Driving: How Accurate Do the Models of Human Behavior Need to Be?

The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots

September 16, 2024 by Sergi Molina, Anna Mannucci, Martin Magnusson, Daniel Adolfsson, Henrik Andreasson, Mazin Hamad, Saeed Abdolshah, Ravi Teja Chadalavada, Luigi Palmieri, Timm Linder, Chittaranjan Srinivas Swaminathan, Tomasz Piotr Kucner, Marc Hanheide, Manuel Fernandez-Carmona, Grzegorz Cielniak, Tom Duckett, Federico Pecora, Simon Bokesand, Kai O. Arras, Sami Haddadin, Achim J. Lilienthal

Current intralogistics services require keeping up with e-commerce demands, reducing delivery times and waste, and increasing overall flexibility. As a consequence, the use of automated guided vehicles (AGVs) and, more recently, autonomous mobile robots (AMRs) for logistics operations is steadily increasing. For more about this article see link … [Read more...] about The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots

Safe and Effective Collaboration With a High-Payload Robot: A Framework Integrating Novel Hardware and Software Modules

September 16, 2024 by Antonis Sidiropoulos, Fotios Dimeas, Dimitrios Papageorgiou, Theofanis Prapavesis Semetzidis, Zoe Doulgeri, Alessandro Zanella, Francesco Grella, Keerthi Sagar, Michal Jilich, Alessandro Albini, Giorgio Cannata, Matteo Zoppi,

Human–robot collaboration has demonstrated its potential to increase efficiency and productivity in industry. However, inherently safe collaborative robots offer limited payloads and are unsuitable for many heavy lifting and manipulation tasks that would benefit from collaboration. The use of high-payload robots in physical human–robot interaction poses significant safety and … [Read more...] about Safe and Effective Collaboration With a High-Payload Robot: A Framework Integrating Novel Hardware and Software Modules

Fully Autonomous Trustworthy Unmanned Aerial Vehicle Teamwork: A Research Guideline Using Level 2 Blockchain

June 24, 2024 by Berk Buzcu, Mert Özgün, Önder Gürcan, Reyhan Aydogan

The vast range of possible fully autonomous multiunmanned aerial vehicle (multi-UAV) operations is creating a new and expanding market where technological advances are happening at a breakneck pace. The integration of UAVs in airspaces (not just for military purposes but also for civil, commercial, and leisure use) is essential in realizing the potential of this growing … [Read more...] about Fully Autonomous Trustworthy Unmanned Aerial Vehicle Teamwork: A Research Guideline Using Level 2 Blockchain

Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics

June 24, 2024 by J. I. Delgado-Centeno, P. Harder, V. Bickel, B. Moseley, F. Kalaitzis, S. Ganju, M. A. Olivares-Mendez, M. A. Olivares-Mendez

Lunar exploration missions require detailed and accurate planning to ensure their safety. Remote sensing data, such as optical satellite imagery acquired by lunar orbiters, are key for the identification of future landing and mission sites. Here robot- and astronaut-scale obstacles are the most relevant to resolve; however, the spatial resolution of the available image data is … [Read more...] about Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics

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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.