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This new dual-mode piezoresistive and piezoelectric #TactileSensor can read 25 types of Braille by processing signals using a #CNN #ResNet and BiLSTM fusion #MachineLearning model. For more updates, subscribe to our weekly emailer: ieee-sensorsalert.org
#FlexibleElectronics

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Our STS sensor before and during contact (right column) with a cabinet knob (middle column) during a door opening task (left column). In visual mode, the camera sees through the gel membrane, allowing the knob to be found, while tactile mode provides contact-based feedback, via gel deformation and resultant dot displacement, upon initial contact and during opening. Red circles highlight the knob in the sensor view.

Our STS sensor before and during contact (right column) with a cabinet knob (middle column) during a door opening task (left column). In visual mode, the camera sees through the gel membrane, allowing the knob to be found, while tactile mode provides contact-based feedback, via gel deformation and resultant dot displacement, upon initial contact and during opening. Red circles highlight the knob in the sensor view.

In a recent T-RO paper, researchers show how complex manipulation tasks that require both precise reaching and controlled slipping or sliding can benefit from see-through visuotactile sensing.
ieeexplore.ieee.org/document/108...

#RobotSensingSystems #TactileSensor #ImitationLearning

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Schematic of the barometric tactile sensor design and data processing pipeline. (a) Exploded view of the modular sensor architecture, illustrating the separation of the PCB and rubber layer, and how the barometers experience the external force (b) System flowchart of the dual-model approach for sensor data interpretation: An MLP model for super-resolution contact localization, and a CNN-LSTM network for object orientation estimation.

Schematic of the barometric tactile sensor design and data processing pipeline. (a) Exploded view of the modular sensor architecture, illustrating the separation of the PCB and rubber layer, and how the barometers experience the external force (b) System flowchart of the dual-model approach for sensor data interpretation: An MLP model for super-resolution contact localization, and a CNN-LSTM network for object orientation estimation.

Researchers from Imperial College London present an affordable ($80) barometric #tactilesensor, achieving 0.28mm resolution through machine learning enhancement. Mounted on a robotic gripper, it enables precise object pose estimation.
ieeexplore.ieee.org/document/107...

#RoboticGrasping #Sensors

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