Autonomous Robots

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Editorial: special issue on the 2014 “Robotics: Science & Systems” conference
Autonomous Robots - - 2015
Lydia E. Kavraki, Maxim Likhachev
Validating multi-rigid body simulation of a wild robot
Autonomous Robots - - 2019
James Taylor, Evan Drumwright
Special issue on “Robotics: Science and Systems”, 2016
Autonomous Robots - Tập 42 Số 7 - Trang 1299-1300 - 2018
Nancy M. Amato, Oliver Brock, Marco Morales, Shawna Thomas
Path planning for grasping operations using an adaptive PCA-based sampling method
Autonomous Robots - Tập 35 - Trang 27-36 - 2013
Jan Rosell, Raúl Suárez, Alexander Pérez
The planning of collision-free paths for a hand-arm robotic system is a difficult issue due to the large number of degrees of freedom involved and the cluttered environment usually encountered near grasping configurations. To cope with this problem, this paper presents a novel importance sampling method based on the use of principal component analysis (PCA) to enlarge the probability of finding co... hiện toàn bộ
Adaptive submodular inverse reinforcement learning for spatial search and map exploration
Autonomous Robots - Tập 46 - Trang 321-347 - 2022
Ji-Jie Wu, Kuo-Shih Tseng
Finding optimal paths for spatial search and map exploration problems are NP-hard. Since spatial search and environmental exploration are parts of human central activities, learning human behavior from data is a way to solve these problems. Utilizing the adaptive submodularity of two problems, this research proposes an adaptive submodular inverse reinforcement learning (ASIRL) algorithm to learn h... hiện toàn bộ
LatticeNet: fast spatio-temporal point cloud segmentation using permutohedral lattices
Autonomous Robots - Tập 46 - Trang 45-60 - 2021
Radu Alexandru Rosu, Peer Schütt, Jan Quenzel, Sven Behnke
Deep convolutional neural networks have shown outstanding performance in the task of semantically segmenting images. Applying the same methods on 3D data still poses challenges due to the heavy memory requirements and the lack of structured data. Here, we propose LatticeNet, a novel approach for 3D semantic segmentation, which takes raw point clouds as input. A PointNet describes the local geometr... hiện toàn bộ
Globally Consistent Range Scan Alignment for Environment Mapping
Autonomous Robots - Tập 4 Số 4 - Trang 333-349 - 1997
Lu, F., Milios, E.
A robot exploring an unknown environment may need to build a worldmodel from sensor measurements. In order to integrate all the framesof sensor data, it is essential to align the data properly. Anincremental approach has been typically used in the past, in whicheach local frame of data is aligned to a cumulative global model, andthen merged to the model. Because different parts of the model areupd... hiện toàn bộ
Multi-robot multiple hypothesis tracking for pedestrian tracking
Autonomous Robots - Tập 32 Số 1 - Trang 63-79 - 2012
Nicolas A. Tsokas, Kostas J. Kyriakopoulos
Correction to: Orientation constraints for Wi-Fi SLAM using signal strength gradients
Autonomous Robots - - 2020
Hsiao-Chieh Yen, Chieh-Chih Wang, Cheng-Fu Chou
The original version of this article unfortunately missing the “Acknowledgements” section.
Distributed matroid-constrained submodular maximization for multi-robot exploration: theory and practice
Autonomous Robots - Tập 43 - Trang 485-501 - 2018
Micah Corah, Nathan Michael
This work addresses the problem of efficient online exploration and mapping using multi-robot teams via a new distributed algorithm for multi-robot exploration, distributed sequential greedy assignment (DSGA), which is based on sequential greedy assignment (SGA). While SGA permits bounds on suboptimality, robots must execute planning steps sequentially. Rather than plan for each robot sequentially... hiện toàn bộ
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