參考文獻 |
[1] C. Papazov, S. Haddadin, S. Parusel, K. Krieger and D. Burschka, “Rigid 3D geometry matching for grasping of known objects in cluttered scenes,” The International Journal of Robotics Research, 31, 538–553, 2012.
[2] M. Ciocarlie, K. Hsiao, E.G. Jones, S. Chitta, R.B. Rusu and I.A. Sucan, “Towards reliable grasping and manipulation in household environments,” In International Symposium on Experimental Robotics, pp. 1–12, 2010.
[3] L. Benvegnu, “3D Object Recognition without Cad Models for Industrial Robot Manipulation,” Univerisità Degli Studi di Padova: Padua, Italy, 2017.
[4] I. Lenz, H. Lee and A. Saxena, “Deep Learning for Detecting Robotic Grasps,” The International Journal of Robotics Research, 34, 705–724, 2015.
[5] S. Levine, P. Pastor, A. Krizhevsky, J. Ibarz and D. Quillen, “Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection,” The International Journal of Robotics Research, 37, 421–436, 2017.
[6] M. Zeiler and R. Fergus, “Visualizing and understanding convolutional networks,” European Conference on Computer Vision, pp. 818-833, 2014.
[7] R. Girshick, J. Donahue, T. Darrell and J. Malik, “Rich feature hierarchies for accurate object detection and semantic segmentation,” IEEE Conference Computer Vision and Pattern Recognition, pp. 580-587, 2014.
[8] R. Girshick, “Fast R-CNN,” International Conference on Computer Vision Pattern Recognition, pp. 1440-1448, 2015.
[9] S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards real time object detection with region proposal networks,” IEEE Transactions on Pattern Analysis Machine Intelligence, vol. 39, pp. 1137-1149, 2017.
[10] A. Bochkovskiy, C. Y. Wang, H. Yuan, M. Liao, “YOLOv4: Optimal Speed and Accuracy of Object Detection,” arXiv preprint arXiv: :2004.10934, 2020.
[11] I. Lenz, H. Lee, and A. Saxena, “Deep learning for detecting robotic grasps,” The International Journal of Robotics Research, 34(45):705–724, 2015.
[12] J. Redmon and A. Angelova, “Realtime grasp detection using convolutional neural networks,” IEEE International Conference on Robotics and Automation(ICRA), pp. 1316–1322, 2015.
[13] A. Zeng, S. Song, K. T. Yu, E. Donlon, F. R. Hogan, M. Bauza, D. Ma, O. Taylor, M. Liu and E. Romo, “Robotic pickandplace of novel objects in clutter with multiaffordance grasping and crossdomain image matching,” IEEE international conference on robotics and automation (ICRA), pp. 1–8, 2018.
[14] J. Mahler, J. Liang, S. Niyaz, M. Laskey, R. Doan, X. Liu, J. A. Ojea, K. Goldberg, “Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics,” arXiv preprint arXiv:1703.09312, 2017.
[15] S. Kumra and C. Kanan, “Robotic Grasp Detection using Deep Convolutional Neural Networks,” arXiv preprint arXiv:1611.08036, 2016.
[16] A. T. Pas, M. Gualtieri, Kate Saenko and Robert Platt, “Grasp Pose Detection in Point Clouds,” The International Journal of Robotics Research, Vol 36, Issue 13-14, pp. 1455-1473, October 2017.
[17] H. Liang, X. Ma, S. Li, M. Görner, S. Tang, B. Fang, F. Sun and J. Zhang, “Pointnetgpd: Detecting grasp configurations from point sets,” InternationalConference on Robotics and Automation (ICRA), pp. 3629–3635, 2019.
[18] C. R. Qi, H. Su, K. Mo and L. J. Guibas, “Pointnet: Deep learning on point sets for 3d classification and segmentation,” IEEE conference on computer vision and pattern recognition, pp. 652–660, 2017.
[19] A. Mousavian, C. Eppner and D. Fox, “6-DOF GraspNet: Variational Grasp Generation for Object Manipulation.,” arXiv preprint arXiv: 1905.10520, 2019
[20] R. C. Luo, T. W. Lin and Y. H. Tsai, “Analytical inverse kinematic solution for modularized 7-DOF redundant manipulators with offsets at shoulder and wrist,” IEEE/RSJ International Conference on Intelligent Robots and System, pp. 516-521, 2014.
[21] J. Peng, W. Xu, Z. Wang and D. Meng, “Analytical inverse kinematics and trajectory planning for a 6DOF grinding robot,” IEEE International Conference Information and Automation, pp. 834-839, 2013.
[22] J. J. Kim and J. J. Lee, “Trajectory optimization with particle swarm optimization for manipulator motion planning,” IEEE Transactions on Industrial Informatics, vol. 11, pp. 620-631, March, 2015.
[23] L. Ruya, et al., "Kinematic control of redundant robots and the motion optimizability measure," IEEE Transaction on Systems, Man and Cybernetics, Part B, vol. 31, pp. 155-160, Febrary, 2001.
[24] Y. Cui, P. Shi and J. Hua, “Kinematics analysis and simulation of a 6-DOF humanoid robot manipulator, ”International Asia Conference on Informatics in Control, Automation and Robotics, pp. 246-249, 2010.
[25] J. Xiao, W. Han and A. Wang, “Simulation research of a six degrees of freedom manipulator kinematics based on MATLAB Toolbox,” International Conference on Advanced Mechatronic Systems, pp. 376-380, 2017.
[26] M. Quigley, B. Gerkeyy, K. Conleyy, J. Fausty, T. Footey, J. Leibsz, E. Bergery, R. Wheelery and A. Ng, “ROS: an open-source Robot Operating System,” ICRA Workshop on Open Source Software,2009.
[27] R. B. Rusu and S. Cousins, “3D is here: Point Cloud Library (PCL),” in 2011 IEEE international Conference on Robotics and Automation,pp.1-4, doi: 10.1109/ICRA.2011.5980567, 2011.
[28] Moveit-Concepts,Available at : https://moveit.ros.org/documentation/concepts/
(Accessed 16 Nov 2022)
[29] The PCD (Point Cloud Data) file format,Available at: https://pcl.readthedocs.io/projects/tutorials/en/master/pcd_file_format.html#pcd-file-format
(Accessed 16 Nov 2022)
[30] About-Point Cloud Library(PCL),Available at : https://pointclouds.org/about/
(Accessed 16 Nov 2022)
[31] J. Redmon, S. Divvala, R. Girshick and A. Farhadi, “You only look once: Unified, real-time object detection,” Proceedings of the IEEE conference on computer vision and pattern recognition, 779-788, 2016.
[32] C. Y. Wang, H. Y. M. Liao, Y. H. Wu, P. Y. Chen, J. W. Hsieh and I. H. Yeh, “CSPNet: A new backbone that can enhance learning capability of CNN,” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops, 390-391, 2020.
[33] K. He, X. Zhang, S. Ren and J. Sun, “Spatial pyramid pooling in deep convolutional networks for visual recognition,” IEEE transactions on pattern analysis and machine intelligence, 37(9), 1904-1916, 2015.
[34] A. M. Roy, R. Bose and J. Bhaduri, “A fast accurate fine-grain object detection model based on YOLOv4 deep neural network,” Neural Computing and Applications, 34(5), 3895-3921, 2022.
[35] Z. Zhou, B. Wu, J. Duan, X. Zhang, N. Zhang and Z. Liang, “Optical surgical instrument tracking system based on the principle of stereo vision,” Journal of biomedical optics, 22(6), 065005, 2017.
[36] S. Liu, L. Qi, H. Qin, J. Shi and J. Jia, “Path aggregation network for instance segmentation,” Proceedings of the IEEE conference on computer vision and pattern recognition, 8759-8768, 2018.
[37] Y. LeCun, L. Bottou, Y. Bengio and P. Haffner, “Gradient-based learning applied to document recognition,” IEEE, vol.86, pp.2278–2324, Nov.1998
[38] A. Singh, J. Sha, K. S. Narayan, T. Achim and P. Abbeel, “BigBIRD: A large-scale 3D database of object instances,” Robotics and Automation (ICRA), IEEE International Conference, pp. 509–516, 2014.
[39] H. Su, S. Maji, E. Kalogerakis and E. L. Miller, “Multi-view Convolutional Neural Networks for 3D Shape Recognition,” IEEE International Conference on Computer Vision. pp. 945–953, 2015.
[40] Y. Zhang, C. Zhang, M. Rosenberger and G. Notni, “6D Object Pose Estimation Algorithm Using Preprocessing of Segmentation and Keypoint Extraction,” IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2020
[41] YOLOv4,Available at :https://github.com/AlexeyAB/darknet
(Accessed 16 Nov 2022)
[42] LabelImg,Available at :https://github.com/heartexlabs/labelImg
(Accessed 16 Nov 2022)
[43] Z. Zheng, P. Wang, W. Liu, J. Li, R. Ye and D. Ren, “Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression,” AAAI-20 Technical Tracks 7, Vol.34 no.7, 2020
[44] Z. Zheng, P. Wang, D. Ren, W. Liu, R. Ye, Q. Hu and W. Zuo, “Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation,” IEEE Transactions on Cybernetics, Vol.52, Issue: 8, pp.8574-8586, 2020.
[45] Ensenso-Calibrate,Available at : https://www.ensenso.com/manual/3.4/commands/calibrate.html (Accessed 16 Nov 2022)
[46] Z. Zhang, "A flexible new technique for camera calibration," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330-1334, Nov. 2000.
[47] R. B. Rusu, Z. C. Marton, N. Blodow, M. Dolha and M. Beetz, “Towards 3D Point Cloud Based Object Maps for Household Environments,” Robotics and Autonomous Systems, vol. 56, no.11,pp. 927-941,2008.
[48] Q. Wang, S. R. Kulkarni and S. Verdú, “Divergence Estimation for Multidimensional Densities Via K-Nearest-Neighbor Distance,” IEEE Transactions on Information Theory, Vol. 55, No. 5, pp.2392-2405, 2009
[49] PCL-Removing outliers using a StatisticalOutlierRemoval filter,Available at : http://pointclouds.org/documentation/tutorials/statistical_outlier.php#statistical-outlier-removal
(Accessed 16 Nov 2022)
[50] PCL- Downsampling a PointCloud using a VoxelGrid filter,Available at : https://pcl.readthedocs.io/en/latest/voxel_grid.html (Accessed 16 Nov 2022)
[51] Albrecht and L. Alexander, “Curvature-based analysis of point clouds,” Master’s thesis, Institute of Parallel and Distributed Systems, University of Stuttgart, Germany, 2014.
[52] S. Holzer, M. Dixon and N. Navab, “Adaptive Neighborhood Selection for Real-Time Surface Normal Estimation from Organized Point Cloud Data Using Integral Images,” IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009.
[53] J. Louis Bentley, “Multidimensional Binary Search Trees Used for Associative Searching,” Commun. ACM, vol.18, no. 9, pp. 509-517, 1975.
[54] Atenpas-GPD,Available at : https://github.com/atenpas/gpd
(Accessed 16 Nov 2022)
[55] D. Jacques and H. R. Scheunemann, “A kinematic notation for lower-pair mechanisms based on matrices,” Trans ASME J. Appl, pp. 215-221, 1955.
[56] J. Peng, W. Xu, Z. Wang and D. Meng, “Analytical inverse kinematics and trajectory planning for a 6DOF grinding robot,” IEEE International Conference on Information and Automation (ICIA), pp. 834-839, 2013.
[57] Pixoel-Ensenso手眼校正工具,Available at : https://pixoel.com.tw/techtips_details_39.html (Accessed 16 Nov 2022)
[58] R. Chellappa and S. Theodoridis, Academic Press Library in Signal Processing, Volume 6, Academic Press, 2017 |