Titlebook: Intelligent Autonomous Systems 15; Proceedings of the 1 Marcus Strand,Rüdiger Dillmann,Stefano Ghidoni Conference proceedings 2019 Springer

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書目名稱Intelligent Autonomous Systems 15影響因子(影響力)




書目名稱Intelligent Autonomous Systems 15影響因子(影響力)學(xué)科排名




書目名稱Intelligent Autonomous Systems 15網(wǎng)絡(luò)公開度




書目名稱Intelligent Autonomous Systems 15網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Autonomous Systems 15被引頻次




書目名稱Intelligent Autonomous Systems 15被引頻次學(xué)科排名




書目名稱Intelligent Autonomous Systems 15年度引用




書目名稱Intelligent Autonomous Systems 15年度引用學(xué)科排名




書目名稱Intelligent Autonomous Systems 15讀者反饋




書目名稱Intelligent Autonomous Systems 15讀者反饋學(xué)科排名

整理

花爭吵

Robust Path Planning Against Pose Errors for Mobile Robots in Rough Terrainng on rough terrain cannot follow a planned path perfectly because of uncertainties such as pose errors. In this work, we represent such pose errors as error ellipsoids to use on collision check with obstacles in a map. The error ellipsoids are estimated based on extended Kalman filter?(EKF) that in

獨行者

Stereo Vision-Based Optimal Path Planning with Stochastic Maps for Mobile Robot Navigationodology of getting 3D point cloud from disparity images, its transformation to 2D stochastic navigation map with occupancy grid cell values assigned from the set {obstacle, unoccupied, occupied}. We re-examined and extended this methodology with a combination of A-Star with binary heap algorithms fo

reserve

Variance Based Trajectory Segmentation in Object-Centric Coordinatesy times, there is a property that the variance of the hand trajectory in object-centric coordinates becomes small at the stage of acting on the object. In this paper, we focused on human demonstration in object-centric coordinates, and proposed a task segmentation method and motion generation of a r

Hearten

多樣

尖酸一點

An Integrated Planning of Exploration, Coverage, and Object Localization for an Efficient Indoor Sem various activities: exploration, (2D or 3D) geometrical mapping, and object detection and localization. An efficient mapping entails selecting good viewpoints. Since a good viewpoint for one activity and that for another could be shared or conflicting, it is desirable to deal with all such activiti

amplitude

Unsupervised Hump Detection for Mobile Robots Based On Kinematic Measurements and Deep-Learning Basever, even such small irregularities can have a tremendous effect on the robot’s stability and the path quality. As a basis to develop anomaly detection algorithms, example kinematics data is collected for an overrun of a cable channel and a bulb plate. A recurrent neuronal network (RNN), based on th

Creditee

Efficient Coverage of Unstructured Environmentsistic to make the minimum sum of altitudes?(MSA) decomposition, which computes an optimal exact cellular decomposition, applicable to more complex environments. Contrary to previous approaches, our technique explicitly takes into account different entry and exit points for the obtained cells and hen