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Mathematical models

Real-Time Generation of Near Minimum-Energy Trajectories via Constraint-Informed Residual Learning: A Paradigm for Learning From Optimal Solutions

April 17, 2026 by Domenico Dona Giovanni Franzese Cosimo Della Santina Paolo Boscariol Basilio Lenzo

Abstract: Industrial robotics demands significant energy to operate, making energy-reduction methodologies increasingly important. Strategies for planning minimum-energy trajectories typically involve solving nonlinear optimal control problems (OCPs), which rarely cope with real-time (RT) requirements. In this article, we propose a paradigm for generating near … [Read more...] about Real-Time Generation of Near Minimum-Energy Trajectories via Constraint-Informed Residual Learning: A Paradigm for Learning From Optimal Solutions

Simplifying Data-Driven Modeling of the Volume–Flow–Pressure Relationship in Hydraulic Soft Robotic Actuators: A Practical and Balanced Solution

April 17, 2026 by Sang-Yoep Lee Leonardo Zamora Yañez Jacob Rogatinsky Vi T. Vo Tanvi Shingade Tommaso Ranzani

Abstract: Soft robotic systems are known for their flexibility and adaptability, but traditional physics-based models struggle to capture their complex, nonlinear behaviors. This study explores a data-driven approach to modeling the volume–flow–pressure relationship in hydraulic soft actuators, focusing on low-complexity models with high accuracy. We perform regression … [Read more...] about Simplifying Data-Driven Modeling of the Volume–Flow–Pressure Relationship in Hydraulic Soft Robotic Actuators: A Practical and Balanced Solution

Simplifying Data-Driven Modeling of the Volume–Flow–Pressure Relationship in Hydraulic Soft Robotic Actuators: A Practical and Balanced Solution

April 17, 2026 by Sang-Yoep Lee Leonardo Zamora Yañez Jacob Rogatinsky Vi T. Vo Tanvi Shingade Tommaso Ranzani

Abstract: Soft robotic systems are known for their flexibility and adaptability, but traditional physics-based models struggle to capture their complex, nonlinear behaviors. This study explores a data-driven approach to modeling the volume–flow–pressure relationship in hydraulic soft actuators, focusing on low-complexity models with high accuracy. We perform regression … [Read more...] about Simplifying Data-Driven Modeling of the Volume–Flow–Pressure Relationship in Hydraulic Soft Robotic Actuators: A Practical and Balanced Solution

Finite Element Analysis-Based Soft Robotic Modeling: Simulating a Soft Actuator in SOFA

September 16, 2024 by Pasquale Ferrentino, Ellen Roels, Joost Brancart, Seppe Terryn, Guy Van Assche, Bram Vanderborght

Soft robotics modeling is a research topic that is evolving fast. Many techniques are present in literature, but most of them require analytical models with a lot of equations that are time consuming, hard to resolve, and not so easy to handle. For this reason, the help of a soft mechanics simulator is essential in this field. This article presents a tutorial on how to build a … [Read more...] about Finite Element Analysis-Based Soft Robotic Modeling: Simulating a Soft Actuator in SOFA

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

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As the flagship magazine of the IEEE Robotics and Automation Society, IEEE Robotics and Automation Magazine (RAM) covers the latest developments in robotics and automation. Its scope ranges from cutting-edge technological advances to emerging social, economic, ethical, and policy issues shaping the field.  Published quarterly (March, June, September, and December), RAM features both high-impact original research articles written in an engaging and accessible style, as well as reviews, columns and opinion pieces addressing a wide range of timely topics.

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