• 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

Robots

Reinforcement Learning for High-Speed Quadrupedal Locomotion With Motor Operating Region Constraints: Mitigating Motor Model Discrepancies through Torque Clipping in Realistic Motor Operating Region

June 24, 2025 by Young-Ha Shin, Tae-Gyu Song, Gwanghyeon Ji, Hae-Won Park

This article presents a method for achieving high-speed running of a quadruped robot by considering the actuator torque–speed operating region in reinforcement learning. The physical properties and constraints of the actuator are included in the training process to reduce state transitions that are infeasible in the real world due to motor torque–speed limitations. The gait … [Read more...] about Reinforcement Learning for High-Speed Quadrupedal Locomotion With Motor Operating Region Constraints: Mitigating Motor Model Discrepancies through Torque Clipping in Realistic Motor Operating Region

Survey of Simulators for Aerial Robots: An Overview and In-Depth Systematic Comparisons [Survey]

June 24, 2025 by Cora A. Dimmig, Giuseppe Silano, Kimberly McGuire, Chiara Gabellieri, Wolfgang Hönig, Joseph Moore, Marin Kobilarov

Uncrewed Aerial Vehicle (UAV) research faces challenges with safety, scalability, costs, and ecological impact when conducting hardware testing. High-fidelity simulators offer a vital solution by replicating real-world conditions to enable the development and evaluation of novel perception and control algorithms. However, the large number of available simulators poses a … [Read more...] about Survey of Simulators for Aerial Robots: An Overview and In-Depth Systematic Comparisons [Survey]

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

Humanoid Robot RHP Friends: Seamless Combination of Autonomous and Teleoperated Tasks in a Nursing Context

March 18, 2025 by Mehdi Benallegue, Guillaume Lorthioir, Antonin Dallard, Rafael Cisneros-Limón, Iori Kumagai, Mitsuharu Morisawa, Hiroshi Kaminaga, Masaki Murooka, Antoine Andre, Pierre Gergondet, Kenji Kaneko, Guillaume Caron, Fumio Kanehiro, Abderrahmane Kheddar, Soh Yukizaki, Junichi Karasuyama, Junichi Murakami, Masayuki Kamon

This article describes RHP Friends, a social humanoid robot developed to enable assistive robotic deployments in human-coexisting environments. As a use case application, we present its potential use in nursing by extending its capabilities to operate devices and tools according to the task and by enabling remote assistance operations. To meet a wide variety of tasks and … [Read more...] about Humanoid Robot RHP Friends: Seamless Combination of Autonomous and Teleoperated Tasks in a Nursing Context

Human–Humanoid Robots’ Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning From Demonstration: HOTU, a Human–Humanoid Robots’ Skill Transfer Framework

March 18, 2025 by Junjia Liu, Zhuo Li, Minghao Yu, Zhipeng Dong, Sylvain Calinon, Darwin Caldwell, Fei Chen

Humanoid robots are envisioned as embodied intelligent agents capable of performing a wide range of human-level loco-manipulation tasks, particularly in scenarios that require strenuous and repetitive labor. However, learning these skills is challenging due to the high degrees of freedom of humanoid robots, and collecting sufficient training data for humanoid is a laborious … [Read more...] about Human–Humanoid Robots’ Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning From Demonstration: HOTU, a Human–Humanoid Robots’ Skill Transfer Framework

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.