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Robot sensing systems

Distributed Optimization Methods for Multi-Robot Systems: Part 2—A Survey

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

Although the field of distributed optimization is well developed, relevant literature focused on the application of distributed optimization to multi-robot problems is limited. This survey constitutes the second part of a two-part series on distributed optimization applied to multi-robot problems. In this article, we survey three main classes of distributed optimization … [Read more...] about Distributed Optimization Methods for Multi-Robot Systems: Part 2—A Survey

Radar-Based Fall Detection: A Survey [Survey]

September 16, 2024 by Shuting Hu, Siyang Cao, Nima Toosizadeh, Jennifer Barton, Melvin G. Hector, Mindy J. Fain,

Fall detection, particularly critical for high-risk demographics like the elderly, is a key public health concern, where timely detection can greatly minimize harm. With the advancements in radio frequency (RF) technology, radar has emerged as a powerful tool for human fall detection. Traditional machine learning (ML) algorithms, such as support vector machines (SVM) and k … [Read more...] about Radar-Based Fall Detection: A Survey [Survey]

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

Electronic Skin as Human–Robot Interface for Human Grasp Recognition in Home-Care Robots: Introducing a Complete Set of Resources

September 16, 2024 by Shumi Zhao, Jin Huang, Mengchu Zhou, Zhijun Li, Haisheng Xia, Cheng Chen, Jianwei Liu, Mingming Ma, Fujiang Lin

Population aging has highlighted the significance of developing home-care robots to assist human life. However, traditional home-care robots work according to fixed procedures, which lack human–robot interaction to mimic human hand action. Human–robot interfaces provide an opportunity for interactions between robots and users, which play an important role in home-care robots. … [Read more...] about Electronic Skin as Human–Robot Interface for Human Grasp Recognition in Home-Care Robots: Introducing a Complete Set of Resources

Terrain-Adaptive Locomotion Control for an Underwater Hexapod Robot: Sensing Leg–Terrain Interaction With Proprioceptive Sensors

April 5, 2024 by Lepeng Chen, Rongxin Cui, Weisheng Yan, Hui Xu, Shouxu Zhang, Haitao Yu

An underwater hexapod robot, driven by six C-shaped legs and eight thrusters, has the potential to traverse diverse terrains with unknown deformable properties, which can lead to unknown leg–terrain interaction forces. However, it is hard to use exteroceptive sensors such as cameras and sonars to recognize these properties. Here we propose a method to perceive the interaction … [Read more...] about Terrain-Adaptive Locomotion Control for an Underwater Hexapod Robot: Sensing Leg–Terrain Interaction With Proprioceptive Sensors

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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.