New Trends in the Sensing and Control Techniques Used for Intelligent Industrial Perception and Service Robotics

Dear Colleagues,

The evolution of sensing and control techniques is fundamentally reshaping intelligent systems in modern industrial automation and service robotics. Emerging applications such as smart manufacturing in dynamic environments, collaborative human–robot interactions in healthcare, autonomous logistics systems, agricultural automation under unstructured conditions, and dexterous service robotics for domestic scenarios demand unprecedented levels of real-time perception, adaptive decision-making, and closed-loop control precision. However, existing methods face critical challenges in terms of the robustness of their multi-modal sensor fusion, their self-optimizing control architectures, and their context-aware cognitive capabilities in complex operational scenarios.

This Special Issue seeks cutting-edge research and state-of-the-art surveys addressing these gaps through innovative approaches including, but not limited to, the following: bio-inspired sensory systems, embodied AI for robotic cognition, tactile–visual–thermal cross-modal perception, edge-computing-empowered control strategies, and explainable learning frameworks for safety-critical applications.

Dr. Silu Chen
Dr. Hao Zheng
Dr. Yina Wei
Guest Editors

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