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IEEE Robotics & Automation Magazine

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Humanoid robots

A Biomimetic and Energy-Efficient Leg Design for a Humanoid Robot: An Exclusively Linear-Actuated Implementation

June 29, 2026 by Junyang Wang, XueAi Li, Fenglei Ni, Baoshi Cao, Le Qi, Hong Liu, Xiangji Wang, Teng Zhang

Abstract: The mobility and manipulation of bipedal humanoid robots always depend on their legs, which account for balance and may substantially accelerate energy consumption, especially when the lower body is expected to be stationary. To this end, this article presents a biomimetic and energy-efficient design for bipedal robots’ legs and extensively demonstrates its … [Read more...] about A Biomimetic and Energy-Efficient Leg Design for a Humanoid Robot: An Exclusively Linear-Actuated Implementation

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

Cross-Embodiment Imitation: Learning a Unified Latent Space for Multirobot Control

April 17, 2026 by Yashuai Yan Dongheui Lee

Abstract: We present a scalable framework for cross-embodiment humanoid robot control by learning a shared latent representation that unifies motion across humans and diverse humanoid platforms, including single-arm, dual-arm, and legged humanoid robots. Our method proceeds in two stages. First, we construct a decoupled latent space that captures localized motion patterns … [Read more...] about Cross-Embodiment Imitation: Learning a Unified Latent Space for Multirobot Control

PAPRLE: Plug-And-Play Robotic Limb Environment: A Modular Ecosystem for Robotic Limbs

April 17, 2026 by Obin Kwon Sankalp Yamsani Noboru Myers Sean Taylor Jooyoung Hong Kyungseo Park

Abstract: We introduce PAPRLE (plug-and-play robotic limb environment), a modular ecosystem that enables flexible placement and control of robotic limbs. With PAPRLE a user can change the arrangement of the robotic limbs and control them using a variety of input devices, including puppeteers, gaming controllers, and virtual reality (VR) devices. This versatility supports a … [Read more...] about PAPRLE: Plug-And-Play Robotic Limb Environment: A Modular Ecosystem for Robotic Limbs

Toward Fully Autonomous Aviation: PIBOT, a Humanoid Robot Pilot for Human-Centric Aircraft Cockpits

March 18, 2025 by Sungjae Min, Gyuree Kang, Hyungjoo Kim, David Hyunchul Shim

Humanoid robots have been considered ideal for automating daily tasks, though most research has centered on bipedal locomotion. Many activities we do routinely, such as driving a car, require real-time system manipulation as well as substantial field-specific knowledge. Recent breakthroughs in natural language processing, particularly with large language models (LLMs), are … [Read more...] about Toward Fully Autonomous Aviation: PIBOT, a Humanoid Robot Pilot for Human-Centric Aircraft Cockpits

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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.