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Found 4 papers, 2 papers with code
Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information
Recent advances in the field of intelligent robotic manipulation pursue providing robotic hands with touch sensitivity.
CNN-based Methods for Object Recognition with High-Resolution Tactile Sensors
These methods include a transfer learning approach using a pre-trained CNN on an RGB-images dataset and a custom-made CNN (TactNet) trained from scratch with tactile information.
Markerless 3D human pose tracking through multiple cameras and AI: Enabling high accuracy, robustness, and real-time performance
Tracking 3D human motion in real-time is crucial for numerous applications across many fields.
Open-VICO: An Open-Source Gazebo Toolkit for Vision-based Skeleton Tracking in Human-Robot Collaboration
Simulation tools are essential for robotics research, especially for those domains in which safety is crucial, such as Human-Robot Collaboration (HRC).
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