AIMC Topic: Man-Machine Systems

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Learning robot behavior from human-human interactions.

Science robotics
A model trained by observing human-human interactions produces more natural robot behavior during human-robot interaction.

Shared human-machine control of an intelligent bionic hand improves grasping and decreases cognitive burden for transradial amputees.

Nature communications
Bionic hands can replicate many movements of the human hand, but our ability to intuitively control these bionic hands is limited. Humans' manual dexterity is partly due to control loops driven by sensory feedback. Here, we describe the integration o...

Machine Learning Enabled Fluorescent Anti-Freezing Core-Shell Hydrogel Realizing Deep-Sea Morse Code Communication for Human-Machine Interaction Engineering.

Nano letters
Underwater intelligent systems demand flexible materials with robustness, environmental tolerance, and functional integration. Hydrogels, which combine flexibility with conductivity, show promise but often fail under harsh conditions. Herein, an anti...

Give us a hand, mate! A holistic review of research on human-machine teaming.

BMJ military health
Defence has a significant interest in the use of artificial intelligence (AI)-based technologies to address some of the challenges it faces. At the core of future military advantage will be the effective integration of humans and AI into human-machin...

Printed sensing human-machine interface with individualized adaptive machine learning.

Science advances
Developing intelligent robots with integrated sensing capabilities is critical for advanced manufacturing, medical robots, and embodied intelligence. Existing robotic sensing technologies are limited to recording of acceleration, driving torque, pres...

Exploratory development of human-machine interaction strategies for post-stroke upper-limb rehabilitation.

Journal of neuroengineering and rehabilitation
BACKGROUND: Stroke and its related complications, place significant burdens on human society in the twenty-first century, and lead to substantial demands for upper limb rehabilitation. To fulfill the rehabilitation needs, human-machine interaction (H...

Self-Healing Triboelectric Sensors with Enhanced Durability for Gesture Recognition and Human-Machine Interaction.

Nano letters
The emergence of triboelectric nanogenerators (TENGs) has significantly developed the landscape of wearable electronics. However, the durability and self-healing capabilities of TENGs remain challenging. Herein, a self-healing triboelectric nanogener...

Flexible multichannel muscle impedance sensors for collaborative human-machine interfaces.

Science advances
The demand for advanced human-machine interfaces (HMIs) highlights the need for accurate measurement of muscle contraction states. Traditional methods, such as electromyography, cannot measure passive muscle contraction states, while optical and ultr...

Effects of robot arm design and movement speed during human-robot interaction.

Applied ergonomics
The purpose of this experiment was to investigate the effect of robot arm size, movement speed, and degrees of freedom on perceived safety, trust, mental workload, human behaviors, and task performance in a collaborative pick-and-place task. Fifty-si...

Effect of riding experience and HMI on users' trust and riding comfort in fully driverless autonomous vehicles: An on-road study.

Applied ergonomics
The wide adoption of autonomous vehicles (AVs) or robot taxis relies on technological advancements and public acceptance, which can be influenced by users' trust in AVs and comfort during rides. Among the influential factors of riding comfort, motion...