Embodied Intelligence and Its Application in Robotics
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 30 December 2025 | Viewed by 14
Special Issue Editors
Interests: intelligent systems and control; intelligent robotics; Signal processing (digital filter design, signal processing for uncertain systems, robust and optimal filtering)
Special Issues, Collections and Topics in MDPI journals
Interests: aircraft control; autonomous trajectory planning; multi-sensor fusion
Interests: adaptive control; intelligence control; biomimetic motion
Interests: neural networks; stochastic system; control system theory
Special Issues, Collections and Topics in MDPI journals
Interests: underactuated mechanical systems; adaptive control; robust control; robotics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Embodied intelligence constitutes a transformative paradigm in robotics, integrating physical interaction, environmental cognition, and autonomous decision making to enable adaptive behaviors in dynamic environments. This approach leverages multimodal sensing, advanced control architectures, and embodied learning to address challenges in industrial automation, healthcare, service robotics, and environment exploration. To facilitate and advance technological developments in intelligent systems, Applied Sciences would like to invite scholars to contribute novel research on embodied intelligence and robotics. This Special Issue seeks studies dedicated to embodied intelligence applied across various fields of robotics, including (but not limited to) multimodal sensor fusion (tactile–proprioceptive integration and vision language models), reinforcement meta-learning, hierarchical decision making, human–robot collaboration, bio-inspired navigation, intelligence control, and swarm coordination. We additionally welcome papers focusing on its application in medical robotics, industrial robotics, aerial robotics, and service robotics, advancing innovations in physical-world adaptability and embodied cognitive architectures.
Prof. Dr. Xiaojie Su
Dr. Jiang Tao
Dr. Tao Song
Dr. Yufeng Tian
Prof. Dr. Jiangshuai Huang
Guest Editors
Manuscript Submission Information
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Keywords
- embodied intelligence
- autonomous navigation
- vision language mode
- robotic control systems
- human–robot collaboration
- intelligence control
- decision making
- reinforcement meta-learning
- field robotics
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