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Task analysis

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

A Multiarm Robotic Platform for Scientific Exploration: Its Design, Digital Twins, and Validation

December 12, 2024 by Murilo Marques Marinho, Juan José Quiroz-Omaña, Kanako Harada

There are a large number of robotic platforms with two or more arms targeting surgical applications. Despite that, very few groups have employed such platforms for scientific exploration. Possible applications of a multi-arm platform in scientific exploration involve the study of the mechanisms of intractable diseases by using organoids, i.e., miniature human organs) The study … [Read more...] about A Multiarm Robotic Platform for Scientific Exploration: Its Design, Digital Twins, and Validation

Digital Robot Judge: Building a Task-Centric Performance Database of Real-World Manipulation With Electronic Task Boards

December 12, 2024 by Peter So, Andriy Sarabakha, Fan Wu, Utku Culha, Fares J. Abu-Dakka, Sami Haddadin

Robotics aims to develop manipulation skills approaching human performance. However, skill complexity is often over- or underestimated based on individual experience, and the real-world performance gap is difficult or expensive to measure through in-person competitions. To bridge this gap, we propose a compact, internet-connected, electronic task board to measure manipulation … [Read more...] about Digital Robot Judge: Building a Task-Centric Performance Database of Real-World Manipulation With Electronic Task Boards

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

Collaborative Bimanual Manipulation Using Optimal Motion Adaptation and Interaction Control: Retargeting Human Commands to Feasible Robot Control References

December 12, 2024 by Ruoshi Wen, Quentin Rouxel, Michael Mistry, Zhibin Li, Carlo Tiseo

This paper presents a robust and reliable humanrobot collaboration framework for bimanual manipulation. We propose an optimal motion adaptation method to retarget arbitrary human commands to feasible robot pose references while maintaining payload stability. The framework comprises three modules: (1) Task-Space Sequential Equilibrium and Inverse Kinematics Optimization for … [Read more...] about Collaborative Bimanual Manipulation Using Optimal Motion Adaptation and Interaction Control: Retargeting Human Commands to Feasible Robot Control References

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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.