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This paper proposes a 3D vision based object grasping posture learning system. In this system, the robot recognizes the orientation of the object to decide the grasping posture, whereas selects a feasible grasping point by detecting the surrounding. When the planned posture is not good enough, the proposed learning system adjusts the position of the end effector real time. The learning system is inspired...
With the development of online shopping and the demand for automated packaging systems, we propose an Internet of Things (IoT)-based automated e-fulfillment packaging system and a 3-D adaptive particle swarm optimization (PSO)-based packing algorithm. The proposed system leverages the IoT to connect the data collection and conversion layer, the packaging management layer, the decision-making layer,...
This paper proposes a real-time object recognition systems for recognizing known objects and searching unknown objects for home service robot. The object recognition system is mainly used in recognizing known objects, which combined Compute Unified Device Architecture (CUDA), Speeded Up Robust Features (SURF) detector and Binary Robust Invariant Scalable Keypoints (BRISK) descriptor for improving...
A novel and efficient human action recognition method utilizing spatio-temporal interest point detector and 3D speed up robust features (3D SURF) descriptor is proposed. The spatio-temporal interest points are detected using two separate linear filters. Then 3D SURF descriptor is presented and demonstrated in detail to represent the local region around interest point. The experimental results on KTH...
Multi-atlas based approaches are effective for the medical image segmentation. The strategy of assigning weights for the atlases is critically important to the segmentation performance. Previous works either assign weights on the image level or assign weights of different regions independently, i.e., they can't employ the uniqueness of each region and the connectivity among different regions simultaneously...
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