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Soft magnetic skin for super-resolution tactile sensing with force self-decoupling.

Science robotics
Human skin can sense subtle changes of both normal and shear forces (i.e., self-decoupled) and perceive stimuli with finer resolution than the average spacing between mechanoreceptors (i.e., super-resolved). By contrast, existing tactile sensors for ...

Comparison of deep learning-based methods in multimodal anomaly detection: A case study in human-robot collaboration.

Science progress
Human-Robot Collaboration (HRC) has been widely used in daily life and industry for maximizing the advantages of humans and robots, respectively. However, the internal modeling errors or external perturbations still affect robotic systems such as hum...

Palpation-Based Multi-Tumor Detection Method Considering Moving Distance for Robot-assisted Minimally Invasive Surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
A novel palpation-based tumor detection method for robot-assisted minimally invasive surgery (RMIS) is proposed in this paper. A tactile stiffness sensor based on piezoelectric vibration is designed to detect tissue stiffness just by gentle contactin...

Determination of a tactile feedback strategy for use in robotized percutaneous procedures.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Remote manipulation in robotized percutaneous procedures can offer increased safety to radiologists as well as patients. Providing feedback to the radiologist on needle-tissue interactions is however mandatory in addition to the medical images. A tac...

Virtual Reality Environments and Haptic Strategies to Enhance Implicit Learning and Motivation in Robot-Assisted Training.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Motivation plays a crucial role in motor learning and neurorehabilitation. Participants' motivation could decline to a point where they may stop training when facing a very difficult task. Conversely, participants may perform well and consider the tr...

Texture Discrimination using a Soft Biomimetic Finger for Prosthetic Applications.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Soft robotic fingers have shown great potential for use in prostheses due to their inherent compliant, light, and dexterous nature. Recent advancements in sensor technology for soft robotic systems showcase their ability to perceive and respond to st...

Recognition, classification, and prediction of the tactile sense.

Nanoscale
The emulation of the tactile sense is presented with the encoding of a complex surface texture through an electrical sensor device. To achieve a functional capability comparable to a human mechanoreceptor, a tactile sensor is designed by employing a ...

An Extreme Learning Machine-Based Neuromorphic Tactile Sensing System for Texture Recognition.

IEEE transactions on biomedical circuits and systems
Despite significant advances in computational algorithms and development of tactile sensors, artificial tactile sensing is strikingly less efficient and capable than the human tactile perception. Inspired by efficiency of biological systems, we aim t...