New Challenges in Intelligent Robotics Control

Dear Colleagues,

With the rapid convergence of artificial intelligence, sensor technology, and mechatronics, the field of intelligent robotics has transcended fixed-scene automation to achieve adaptive interaction with complex and dynamic real-world environments. However, this evolution has given rise to unprecedented control challenges; for instance, the uncertainty of unstructured environments breaks the assumptions of traditional model-based control, while the imperative for safety and robustness demands control systems effectively address unexpected faults or dynamic disturbances.

In this Special Issue, we are particularly interested in intelligent robotics control, aiming to gather innovative research on adaptive, human–robot interaction, fault-tolerant, and data-driven control, which may be applied in unmanned vehicles, humanoid robots, and bio-inspired robots.

Topics of interests include but are not limited to the following:

• Adaptive Control Subject to Motion Uncertainty in Unstructured Environments;
• Safe Interaction Control in Human–Robot Collaboration;
• Distributed Cooperative Control of Heterogeneous Multi-Robot Swarms;
• Fault-Tolerant and State Perception-Enhanced Control;
• Large Language Model-Driven Intelligent Control.

Dr. Yuwei Zhang
Dr. Rentong Chen
Dr. Rui Mu
Dr. Yixin Zhang
Guest Editors

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