Biomimetic Intelligence and Robotics

Open access

ISSN: 2667-3797
e-ISSN: 2667-3797
p-ISSN: 2097-0242

Biomimetic Intelligence and Robotics

Open access

Editor-in-Chief

Max Q.-H. Meng

Editorial Board

An official Journal of the Shandong UniversityTo promote advances and original contributions to robotics, biomimetics and artificial intelligence, Biomimetic Intelligence and Robotics (BIROB) provides...

An official Journal of the Shandong University

To promote advances and original contributions to robotics, biomimetics and artificial intelligence, Biomimetic Intelligence and Robotics (BIROB) provides a platform and forum for the exchange and communication of the most innovative and exciting new discoveries and impactful applications in the fields of biomimetic intelligence and robotics.

Biomimetic Intelligence and Robotics (BIROB) publishes original, high-quality, peer-reviewed theoretical and applied research achievements and review articles in the fields of robotics, biomimetics, artificial intelligence, and the innovative integration of them.

Topics covered by the journal include but are not limited to: autonomous systems, biomimetic actuators, biomimetic and bio-inspired design, biomimetic materials, biomimetics and artificial intelligence, exoskeletons, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics and dynamics, machine learning, material sciences, medical robotics and technology, motion planning and control, micro and nano robotics, multirobot systems, sensors and bionic sensing, service robotics, and soft robotics.

P-ISSN: 2097-0242

Acoustic-enhanced local bearing estimation using low-cost microphones for Micro Air Vehicle swarms

A novel underactuated exoskeleton rehabilitation glove for hand flexion and extension training

Efficient co-adaptation of humanoid robot design and locomotion control using surrogate-guided optimization

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1. A survey of autonomous robots and multi-robot navigation: Perception, planning and collaboration

2. Wearable sensors for activity monitoring and motion control: A review

3. A survey on the visual perception of humanoid robot

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Large language models for human–robot interaction: A review

Wearable sensors for activity monitoring and motion control: A review

IMU-based motion capture system for rehabilitation applications: A systematic review

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