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Optimization

Distributed Optimization Methods for Multi-Robot Systems: Part 1—A Tutorial [Tutorial]

September 16, 2024 by Ola Shorinwa, Trevor Halsted, Javier Yu, Mac Schwager,

Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on distributed optimization applied to multi-robot problems, which seeks to advance the application of distributed optimization in robotics. In this tutorial, we demonstrate that many canonical … [Read more...] about Distributed Optimization Methods for Multi-Robot Systems: Part 1—A Tutorial [Tutorial]

Open Source Dual-Purpose Acrobot and Pendubot Platform: Benchmarking Control Algorithms for Underactuated Robotics

June 24, 2024 by Felix Wiebe, Shivesh Kumar, Lasse J. Shala, Shubham Vyas, Mahdi Javadi, Frank Kirchner

Recent interest in the control of underactuated robots has surged significantly due to the impressive athletic behaviors shown by robots developed by, e.g., Boston Dynamics ( https://www.bostondynamics.com ), Agility Robotics ( https://agilityrobotics.com/robots ), and the Massachusetts Institute of Technology [1] . This gives rise to the need for canonical robotic hardware … [Read more...] about Open Source Dual-Purpose Acrobot and Pendubot Platform: Benchmarking Control Algorithms for Underactuated Robotics

Toward Lifelong Learning for Industrial Defect Classification: A Proposed Framework

June 23, 2023 by Jingyu Zhang

Automatic defect inspection is an important application for the development of smart factories in the era of Industry 4.0. It gathers data from production lines to train a model to automatically recognize certain types of defects. However, the defect types may vary in the production process, and it is difficult for the old model to adapt to new types of defects directly. … [Read more...] about Toward Lifelong Learning for Industrial Defect Classification: A Proposed Framework

Controlling Maneuverability of a Bio-Inspired Swimming Robot Through Morphological Transformation

January 31, 2023 by Kai Junge

Biology provides many examples of how body adaption can be used to achieve a change in functionality. The feather star, an underwater crinoid that uses feather arms to locomote and feed, is one such system; it releases its arms to distract prey and vary its maneuverability to help escape predators. Using this crinoid as inspiration, we develop a robotic system that can alter … [Read more...] about Controlling Maneuverability of a Bio-Inspired Swimming Robot Through Morphological Transformation

A Cable-Driven Hyperredundant Manipulator: Obstacle-Avoidance Path Planning and Tension Optimization

October 24, 2022 by Dawei Xu

Manipulators with a hyperredundant and large aspect ratio are becoming more commonly used to detect complex and narrow spaces. The hyperredundant feature confers advantages for such manipulator types in comparison to traditional manipulators. However, they also introduce path-planning challenges. Due to the characteristics of hyperredundancy, there are countless inverse … [Read more...] about A Cable-Driven Hyperredundant Manipulator: Obstacle-Avoidance Path Planning and Tension Optimization

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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.