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Biomimetics

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

Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework

April 3, 2024 by Kaihui Wang, Wei Zou, Ruichen Ma, Jiaqi Lv, Hu Su, Yu Wang, Hongxuan Ma

Disturbances caused by unknown dynamics and environmental factors render the automatic control of underwater vehicles extremely challenging. These effects are complex, time varying, and difficult to model accurately, leading to possible instability in the control process. This article focuses on the disturbance rejection problem of an underactuated bionic underwater vehicle … [Read more...] about Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework

A Small-Scale, Rat-Inspired Whisker Sensor for the Perception of a Biomimetic Robot

January 31, 2023 by Yulai Zhang

In this article, we present a rat-inspired whisker sensor for a biomimetic robotic rat and demonstrate its superior tactile perception performance. In particular, the design, fabrication, modeling, and experimental characterization are presented. The sensor is fabricated using silicon-on-insulator (SOI) technology. Moreover, by modeling the whisker as a Euler–Bernoulli beam … [Read more...] about A Small-Scale, Rat-Inspired Whisker Sensor for the Perception of a Biomimetic Robot

Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks

January 31, 2023 by Zhenyu Lu

This article presents a novel biomimetic force and impedance adaption framework based on the broad learning system (BLS) for robot control in stable and unstable environments. Different from iterative learning control, the adaptation process is realized by a neural network (NN)-based framework, similar to a BLS, to realize a varying learning rate for feedforward force and … [Read more...] about Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks

Biomimetic Electric Sense-Based Localization

January 31, 2023 by Junzheng Zheng

This article presents a novel localization scheme for free-swimming small underwater robots in a large-scale environment. Accurate localization technology has always been a challenge for small underwater robots since the underwater lighting conditions can limit their vision, while the multipath interference issue occurring near a wall plagues the sonars. By contrast, some kinds … [Read more...] about Biomimetic Electric Sense-Based Localization

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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.