tracking controlsurgical robotsRCM constraintsmetaheuristic optimizationrecurrent neural networkRNNredundant manipulatorIn this paper, we propose a recurrent neural network (RNN) for the tracking control of surgical robots while satisfying remote center-of-motion (RCM) constraints. RCM constraints enforce ...
This paper presents an integrated approach for accurate human motion detections by combining Adapted Canny Edge detection as a preprocessing step, backbone-modified Mask R-CNN for precise segmentation, Hybrid RDA-WOA-based RNN as a classification, and a Multiple-hypothesis model for effective occlusion...