AIMC Topic: Man-Machine Systems
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Toward a tactile language for human-robot interaction: two studies of tacton learning and performance.
Human factors
Aug 28, 2014
OBJECTIVE: Two experiments were performed to investigate the feasibility for robot-to-human communication of a tactile language using a lexicon of standardized tactons (tactile icons) within a sentence.
End-point impedance measurements across dominant and nondominant hands and robotic assistance with directional damping.
IEEE transactions on cybernetics
Aug 19, 2014
The goal of this paper is to perform end-point impedance measurements across dominant and nondominant hands while doing airbrush painting and to use the results for developing a robotic assistance scheme. We study airbrush painting because it resembl...
Extrinsic finger and thumb muscles command a virtual hand to allow individual finger and grasp control.
IEEE transactions on bio-medical engineering
Jul 31, 2014
Fine-wire intramuscular electrodes were used to obtain electromyogram (EMG) signals from six extrinsic hand muscles associated with the thumb, index, and middle fingers. Subjects' EMG activity was used to control a virtual three-degree-of-freedom (DO...
Robotic adherent cell injection for characterizing cell-cell communication.
IEEE transactions on bio-medical engineering
Jul 24, 2014
Compared to robotic injection of suspended cells (e.g., embryos and oocytes), fewer attempts were made to automate the injection of adherent cells (e.g., cancer cells and cardiomyocytes) due to their smaller size, highly irregular morphology, small t...
Biomechanical analysis on neurotypical and autism spectrum disorder people during human-cobot interaction.
Applied ergonomics
Oct 1, 2025
Biomechanical analysis is essential for assessing subjects interacting with robotic setups and platforms. However, in industrial scenarios, workers' biomechanics are assessed mainly through questionnaires and scales which provide limited objectivity....
Neuroadaptive Admittance Control for Human-Robot Interaction With Human Motion Intention Estimation and Output Error Constraint.
IEEE transactions on cybernetics
Jun 1, 2025
Human-robot interaction (HRI) is a crucial component in the field of robotics, and enabling faster response, higher accuracy, as well as smaller human effort, is essential to improve the efficiency, robustness, and applicability of HRI-driven tasks. ...
Driver Steering Intention Prediction for Human-Machine Shared Systems of Intelligent Vehicles Based on CNN-GRU Network.
Sensors (Basel, Switzerland)
May 20, 2025
In order to mitigate human-machine conflicts and optimize shared control strategy in advance, it is essential for the shared control system to understand and predict driver behavior. This paper proposes a method for predicting driver steering intenti...
Collaborative Robot Control Based on Human Gaze Tracking.
Sensors (Basel, Switzerland)
May 14, 2025
Gaze tracking is gaining relevance in collaborative robotics as a means to enhance human-machine interaction by enabling intuitive and non-verbal communication. This study explores the integration of human gaze into collaborative robotics by demonstr...
Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments.
Nature communications
May 8, 2025
Human-machine voice interaction based on speech recognition offers an intuitive, efficient, and user-friendly interface, attracting wide attention in applications such as health monitoring, post-disaster rescue, and intelligent control. However, conv...
Session Introduction: AI and Machine Learning in Clinical Medicine: Generative and Interactive Systems at the Human-Machine Interface.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2025
Artificial Intelligence (AI) technologies are increasingly capable of processing complex and multilayered datasets. Innovations in generative AI and deep learning have notably enhanced the extraction of insights from both unstructured texts, images, ...
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