• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • IEEE.org
  • IEEE Xplore
  • IEEE Standards
  • IEEE Spectrum
  • More Sites

IEEE Robotics & Automation Magazine

  • IEEE.org
  • IEEE Xplore
  • IEEE Standards
  • IEEE Spectrum
  • More Sites

Benchmark testing

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

GRASPA-fying the Panda: Easily Deployable, Fully Reproducible Benchmarking of Grasp Planning Algorithms

December 12, 2024 by Fabrizio Bottarel, Alessandro Altobelli, Ugo Pattacini, Lorenzo Natale

Although robotic grasp planning has been extensively studied in the literature, comparing the performance of different approaches still proves challenging due to the lack of standardization in hardware setup and benchmarking protocols. This work addresses the issue with a threefold contribution. First, it provides a standardized hardware platform and a software framework … [Read more...] about GRASPA-fying the Panda: Easily Deployable, Fully Reproducible Benchmarking of Grasp Planning Algorithms

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

Future Directions in Software Engineering for Autonomous Robots: An Agenda for Trustworthiness [Opinion]

September 16, 2024 by Davide Brugali, Ana Cavalcanti, Nico Hochgeschwender, Patrizio Pelliccione, Luciana Rebelo

Software engineering for autonomous robots investigates the synergetic interaction of computing and robotic technologies; this synergy is both realistic and strategic. On one hand, software engineering techniques and methods have the potential to enhance the quality of the software that controls autonomous robots and the effectiveness of software development processes in the … [Read more...] about Future Directions in Software Engineering for Autonomous Robots: An Agenda for Trustworthiness [Opinion]

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

Next Page »

Primary Sidebar

Current Issue

Get the entire issue now.

 

About the Magazine

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.

Past Issues

Search

Footer

LINKS

Home | Contact IEEE | Accessibility |
Nondiscrimination  Policy | IEEE Ethics Reporting | Terms & Disclosures| IEEE Privacy Policy

© Copyright 2025 IEEE – All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

ABOUT US

IEEE Robotics & Automation Magazine  publishes four issues per year: March, June, September and December.