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Grasping

The Cluttered Environment Picking Benchmark (CEPB) for Advanced Warehouse Automation: Evaluating the Perception, Planning, Control, and Grasping of Manipulation Systems

December 12, 2024 by Salvatore D’Avella, Matteo Bianchi, Ashok M. Sundaram, Carlo Alberto Avizzano, Máximo A. Roa, Paolo Tripicchio

Autonomous and reliable robotic grasping is a desirable functionality in robotic manipulation and is still an open problem. Standardized benchmarks are important tools for evaluating and comparing robotic grasping and manipulation systems among different research groups, and also for sharing with the community the best practices to learn from errors. An ideal benchmarking … [Read more...] about The Cluttered Environment Picking Benchmark (CEPB) for Advanced Warehouse Automation: Evaluating the Perception, Planning, Control, and Grasping of Manipulation Systems

Synthesis, Design, and Experimental Validation of an Agile Wrist for Enhanced Grasping and Manipulation in Cluttered Environments: An Experimental Evaluation With a Challenging Pick-and-Place Task

December 12, 2024 by Jérémy Begey, Arda Yiğit, Clément Gosselin

In many practical cases, such as in logistics applications, grasping and manipulation of objects must be carried out in confined spaces with obstacles. Limited room is then available to manoeuvre and robotic devices can lack dexterity or be impaired by their size when performing in such cluttered environments. In this paper, we address this issue by proposing a novel agile … [Read more...] about Synthesis, Design, and Experimental Validation of an Agile Wrist for Enhanced Grasping and Manipulation in Cluttered Environments: An Experimental Evaluation With a Challenging Pick-and-Place Task

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

Fully Autonomous Brick Pick and Place in Fields by Articulated Aerial Robot: Results in Various Outdoor Environments

June 24, 2024 by Tomoki Anzai, Moju Zhao, Takuzumi Nishio, Fan Shi, Kei Okada, Masayuki Inaba

Picking and placing of objects by aerial robots in fields is an important and challenging task for a range of outdoor activities, including industry and rescue operations. General strategies depend on the magnetic force to the pick object; however, this approach lacks both generality and robustness. Therefore, we focus on an articulated structure to grasp bricking. Another … [Read more...] about Fully Autonomous Brick Pick and Place in Fields by Articulated Aerial Robot: Results in Various Outdoor Environments

Dual-Arm Control for Coordinated Fast Grabbing and Tossing of an Object: Proposing a New Approach

October 24, 2022 by Michael Bombile

Picking up objects and tossing them on a conveyor belt are activities generated on a daily basis in industry. These tasks are still done largely by humans. This article proposes a unified motion generator for a bimanual robotic system that enables two seven-degree-of-freedom robotic arms to grab and toss an object in one swipe. Unlike classical approaches that grab the object … [Read more...] about Dual-Arm Control for Coordinated Fast Grabbing and Tossing of an Object: Proposing a New Approach

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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.