3 accepted papers
The success rate of catheterization procedures is closely linked to the sensory data provided to the surgeon. Vision-based deep learning models can deliver both tactile and visual information in a sensor-free manner, while also being cost-effective to produce. Given the complexity of these models fo
Estimating the applied forces in three dimensions during catheter-based surgeries can make the entire process tangible for surgeons. This will result in diminishing the risk of fatal errors while improving the outcome of the surgery. In this work, a novel deep convolutional neural network is propose
This paper investigates the incorporation of hidden conditional random fields (HCRF) as a discriminative statistical modeling technique into adaptive haptic guidance (HG) for physical human-robot interaction (pHRI). In this gesture-based HG approach, the knowledge and experience of experts are model