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IEEE Robotics & Automation Magazine

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Manipulators

Automated Behavior Planning for Fruit Tree Pruning via Redundant Robot Manipulators: Addressing the Behavior Planning Challenge

June 29, 2026 by Gaoyuan Liu, Bas Boom, Naftali Slob, Yuri Durodié, Ann Nowé, Bram Vanderborght

Abstract: Pruning is an essential agricultural practice for orchards. Proper pruning can promote healthier growth and optimize fruit production throughout the orchard’s lifespan. Robot manipulators have been developed as an automated solution for this repetitive task, which typically requires seasonal labor with specialized skills. While previous research has primarily … [Read more...] about Automated Behavior Planning for Fruit Tree Pruning via Redundant Robot Manipulators: Addressing the Behavior Planning Challenge

neoDavid: A Humanoid Robot With Variable-Stiffness Actuation and Dexterous Manipulation Skills

June 29, 2026 by Sebastian Wolf, Thomas Bahls, Bastian Deutschmann, Alexander Dietrich, Marie Harder, Hannes Höppner, Cynthia Hofmann, Ana Huezo Martin, Manuel Keppler, Leonard Klüpfel, Henry Maurenbrecher, Xuming Meng, Anne E. Reichert, Manuel Stoiber, Markus Bihler, Maxime Chalon, Oliver Eiberger, Werner Friedl, Markus Grebenstein, Maged Iskandar, Viktor Langofer, Martin Pfanne, Antonin Raffin, Jens Reinecke, Tilo Wüsthoff, Alin Albu-Schäffer

Abstract: Dexterity and strength are essential for performing a variety of tasks in the unstructured environments of household services and craftsmanship. For these tasks, we have developed neoDavid, a robust humanoid robot with dexterous manipulation skills. neoDavid has joints with variable stiffness actuators (VSAs), which have mechanically adjustable elasticity in the … [Read more...] about neoDavid: A Humanoid Robot With Variable-Stiffness Actuation and Dexterous Manipulation Skills

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

Large-Language-Model-Aided Assistive Robot for Single-Operator Bimanual Teleoperation: Introduction and Validation of a Flexible Assistance System

April 17, 2026 by Haolin Fei Songlin Ma School of Engineering, Lancaster University, Lancaster, U.K. Guanglong Du Elmira Yadollahi Hak-Keung Lam Angela Faragasso

Abstract: Bimanual teleoperation tasks are highly demanding for human operators, requiring the simultaneous control of two robotic arms while managing complex coordination and cognitive load. Current approaches to this challenge often rely on rigid control schemes or task-specific automations that do not adapt well to dynamic environments or varied operator needs. This … [Read more...] about Large-Language-Model-Aided Assistive Robot for Single-Operator Bimanual Teleoperation: Introduction and Validation of a Flexible Assistance System

The Developments and Challenges Toward Dexterous and Embodied Robotic Manipulation: A Survey

April 17, 2026 by Gaofeng Li Ruize Wang Peisen Xu Qi Ye Jiming Chen

Abstract: OKAchieving humanlike dexterous robotic manipulation remains a central goal and a pivotal challenge in robotics. The development of artificial intelligence (AI) has allowed rapid progress in robotic manipulation. This article summarizes the evolution of robotic manipulation from mechanical programming to embodied intelligence, alongside the transition from simple … [Read more...] about The Developments and Challenges Toward Dexterous and Embodied Robotic Manipulation: A Survey

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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.