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1 Introduction Robotics has emerged as a central driving force in the transition from traditional industrial automation to modern intelligent systems (Nelson 2025). The multimodal information fusion is a key technology for robots to achieve embodied intelligence (Huang et al. 2025; Lin et al. 2025; Zhao et al. 2025). Multimodal sensing is very important not only for improving task performance but also for enabling robots to develop more human-like perceptual and cognitive capabilities.
Improving Proximity Performance of the Multifunctional E-Skin System via Machine Learning During the active safety control, we found the robot arm cannot stop in front of insulating objects in time during the approaching (e.g., nylon and wood). This is because the insulator does not change the capacitance effectively as that of conductor, which induces that the proximity sensor output does not reach the threshold for the active safety control.
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