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IEEE Robotics & Automation Magazine

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Grippers

Integrating Software-Less Reflex Mechanisms Into Soft Robots and a Versatile Gripper: A New Bistable Method

June 29, 2026 by Zhanwei Wang, Huaijin Chen, Hendrik Cools, Bram Vanderborght, Seppe Terryn

Abstract: While most soft pneumatic grippers that operate with a single control parameter (such as pressure or airflow) are limited to a single grasping modality, this article introduces a new method for incorporating multiple grasping modalities into vacuum-driven soft grippers. This is achieved by combining stiffness manipulation with a bistable mechanism. The system … [Read more...] about Integrating Software-Less Reflex Mechanisms Into Soft Robots and a Versatile Gripper: A New Bistable Method

Soft Pneumatic Gripper With Interchangeable Fingertips by Using Reversible Polymers: The GraspBerry, a Raspberry Picking Case Study

June 29, 2026 by Francesca Furia, Niccolò Pagliarani, Kai Junge, Ellen Roels, Seppe Terryn, Bram Vanderborght, Joost Brancart, Josie Hughes, Matteo Cianchetti

Abstract: Fingerprints primarily enhance grasping by modulating friction, as the surface pattern affects the friction needed for effective grasping and manipulation. A versatile gripper was developed with a more realistic distal phalange inspired by the human index finger for improved berry gripping performance. The soft pneumatic gripper was fabricated out of a … [Read more...] about Soft Pneumatic Gripper With Interchangeable Fingertips by Using Reversible Polymers: The GraspBerry, a Raspberry Picking Case Study

Leveraging Embodied Mechanical Intelligence for Learning Decluttering Tasks: Gripper Design Boosts Learning

April 17, 2026 by Enrico Turco Valerio Bo Chiara Castellani Gionata Salvietti Monica Malvezzi Domenico Prattichizzo

Abstract: In this work, we investigate how a state-of-the-art grasp planner based on deep reinforcement learning performs when applied to a soft–rigid gripper in a decluttering task. The gripper, called Soft ScoopGripper (SSG), is endowed with a rigid scoop-shaped part that facilitates the interaction with the environment and with objects. We hypothesize that the clever … [Read more...] about Leveraging Embodied Mechanical Intelligence for Learning Decluttering Tasks: Gripper Design Boosts Learning

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

Robotic Grape Inspection and Selective Harvesting in Vineyards: A Multisensory Robotic System With Advanced Cognitive Capabilities

September 10, 2025 by Sotiris Stavridis, Leonidas Droukas, Zoe Doulgeri, Dimitrios Papageorgiou, Fotios Dimeas, Ángel Soriano, Sergi Molina, Sami Ahmed Deiri, Michael Hutchinson, Jaime Pulido-Fentanes, Ibrahim Hroob, Riccardo Polvara, Marc Hanheide, Grzegorz Cielniak, Nikiforos Samarinas, Dimitrios Kateris, Dionysis Bochtis, Georgia Peleka, Stefanos Papadam, Dimitra Triantafyllou. Alexios Papadimitriou, Christos Papadopoulos, Ioannis Mariolis, Dimitrios Giakoumis, Dimitrios Tzovaras

Driven by the increasing food demand and the need for higher-quality cultivation, precision agriculture grows steadily during the last decade. It involves the application of mobile robots and intelligent robotic technologies in various agricultural field tasks, concerning a variety of crop types. Aiming at compensating for the lack of selective robotic harvesting solutions … [Read more...] about Robotic Grape Inspection and Selective Harvesting in Vineyards: A Multisensory Robotic System With Advanced Cognitive Capabilities

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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.