本文轉載自知乎，作者：吳豔敏
原文連結：https://zhuanlan.zhihu.com/p/130530891
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1. 美國卡耐基梅隴大學機器人研究所研究方向：機器人感知、結構，服務型、運輸、製造業、現場機器
研究所主頁：https://www.ri.cmu.edu/
下屬 Field Robotic Center 主頁：https://frc.ri.cmu.edu/
發表論文：https://www.ri.cmu.edu/pubs/
👦Michael Kaess：
個人主頁 ，谷歌學術
👦Sebastian Scherer：
個人主頁 ，谷歌學術
📜Kaess M, Ranganathan A, Dellaert F. iSAM: Incremental smoothing and mapping[J]. IEEE Transactions on Robotics, 2008, 24(6): 1365-1378.
📜Hsiao M, Westman E, Zhang G, et al. Keyframe-based dense planar SLAM[C]//2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017: 5110-5117.
📜Kaess M. Simultaneous localization and mapping with infinite planes[C]//2015 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2015: 4605-4611.
研究方向：多模態環境理解，語義導航，自主信息獲取
實驗室主頁：https://existentialrobotics.org/index.html
發表論文匯總：https://existentialrobotics.org/pages/publications.html
👦Nikolay Atanasov：
個人主頁 谷歌學術
📜語義 SLAM 經典論文：
Bowman S L, Atanasov N, Daniilidis K, et al.Probabilistic data association for semantic slam[C]//2017 IEEE international conference on robotics and automation (ICRA). IEEE, 2017: 1722-1729.
📜實例網格模型定位與建圖：
Feng Q, Meng Y, Shan M, et al.Localization and Mapping using Instance-specific Mesh Models[C]//2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2019: 4985-4991.
📜基於事件相機的 VIO：
Zihao Zhu A, Atanasov N, Daniilidis K.Event-based visual inertial odometry[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017: 5391-5399.
研究方向：SLAM、VINS、語義定位與建圖等
實驗室主頁：https://sites.udel.edu/robot/
發表論文匯總：https://sites.udel.edu/robot/publications/
Github 地址：https://github.com/rpng?page=2
📜Geneva P, Eckenhoff K, Lee W, et al. Openvins: A research platform for visual-inertial estimation[C]//IROS 2019 Workshop on Visual-Inertial Navigation: Challenges and Applications, Macau, China. IROS 2019.（代碼：https://github.com/rpng/open_vins ）
📜Huai Z, Huang G. Robocentric visual-inertial odometry[C]//2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2018: 6319-6326.（代碼：https://github.com/rpng/R-VIO ）
📜Zuo X, Geneva P, Yang Y, et al. Visual-Inertial Localization With Prior LiDAR Map Constraints[J]. IEEE Robotics and Automation Letters, 2019, 4(4): 3394-3401.
📜Zuo X, Ye W, Yang Y, et al. Multimodal localization: Stereo over LiDAR map[J]. Journal of Field Robotics, 2020 （ 左星星博士谷歌學術）
👦黃國權教授主頁
研究方向：位姿估計與導航，路徑規劃，控制與決策，機器學習與強化學習
實驗室主頁：http://acl.mit.edu/
發表論文：http://acl.mit.edu/publications （實驗室的學位論文也可以在這裡找到）
👦Jonathan P. How 教授：個人主頁 谷歌學術
👦Kasra Khosoussi（SLAM 圖優化）：谷歌學術
📜物體級 SLAM：Mu B, Liu S Y, Paull L, et al.Slam with objects using a nonparametric pose graph[C]//2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2016: 4602-4609.（代碼：https://github.com/BeipengMu/objectSLAM）
📜物體級 SLAM 導航：Ok K, Liu K, Frey K, et al.Robust Object-based SLAM for High-speed Autonomous Navigation[C]//2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019: 669-675.
📜SLAM 的圖優化：Khosoussi, K., Giamou, M., Sukhatme, G., Huang, S., Dissanayake, G., and How, J. P.,Reliable Graphs for SLAM [C]//International Journal of Robotics Research (IJRR), 2019.
研究方向：移動機器人環境感知
實驗室主頁：http://web.mit.edu/sparklab/
👦Luca Carlone 教授：個人主頁 谷歌學術
📜SLAM 經典綜述：Cadena C, Carlone L, Carrillo H, et al.Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age[J]. IEEE Transactions on robotics, 2016, 32(6): 1309-1332.
📜VIO 流形預積分：Forster C, Carlone L, Dellaert F, et al.On-Manifold Preintegration for Real-Time Visual--Inertial Odometry[J]. IEEE Transactions on Robotics, 2016, 33(1): 1-21.
📜開源語義 SLAM：Rosinol A, Abate M, Chang Y, et al.Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping[J]. arXiv preprint arXiv:1910.02490, 2019.（代碼：https://github.com/MIT-SPARK/Kimera ）
研究方向：水下或陸地移動機器人導航與建圖
實驗室主頁：https://marinerobotics.mit.edu/ （隸屬於 MIT 計算機科學與人工智慧實驗室）
👦John Leonard 教授：谷歌學術
發表論文匯總：https://marinerobotics.mit.edu/biblio
📜面向物體的 SLAM：Finman R, Paull L, Leonard J J.Toward object-based place recognition in dense rgb-d maps[C]//ICRA Workshop Visual Place Recognition in Changing Environments, Seattle, WA. 2015.
📜拓展 KinectFusion：Whelan T, Kaess M, Fallon M, et al.Kintinuous: Spatially extended kinectfusion[J]. 2012.
📜語義 SLAM 概率數據關聯：Doherty K, Fourie D, Leonard J.Multimodal semantic slam with probabilistic data association[C]//2019 international conference on robotics and automation (ICRA). IEEE, 2019: 2419-2425.
研究方向：視覺、雷射、慣性導航系統，行動裝置大規模三維建模與定位
實驗室主頁：http://mars.cs.umn.edu/index.php
發表論文匯總：http://mars.cs.umn.edu/publications.php
👦Stergios I. Roumeliotis：個人主頁 ，谷歌學術
📜行動裝置 VIO：Wu K, Ahmed A, Georgiou G A, et al.A Square Root Inverse Filter for Efficient Vision-aided Inertial Navigation on Mobile Devices[C]//Robotics: Science and Systems. 2015, 2.（項目主頁：http://mars.cs.umn.edu/research/sriswf.php ）
📜行動裝置大規模三維半稠密建圖：Guo C X, Sartipi K, DuToit R C, et al.Resource-aware large-scale cooperative three-dimensional mapping using multiple mobile devices[J]. IEEE Transactions on Robotics, 2018, 34(5): 1349-1369. （項目主頁：http://mars.cs.umn.edu/research/semi_dense_mapping.php ）
📜VIO 相關研究：http://mars.cs.umn.edu/research/vins_overview.php
研究方向：自主微型無人機
實驗室主頁：https://www.kumarrobotics.org/
發表論文：https://www.kumarrobotics.org/publications/
研究成果視頻：https://www.youtube.com/user/KumarLabPenn/videos
📜無人機半稠密 VIO：Liu W, Loianno G, Mohta K, et al.Semi-Dense Visual-Inertial Odometry and Mapping for Quadrotors with SWAP Constraints[C]//2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018: 1-6.
📜語義數據關聯：Liu X, Chen S W, Liu C, et al.Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association[J]. IEEE Robotics and Automation Letters, 2019, 4(3): 2296-2303.
研究方向：三維重構、語義分割、視覺 SLAM、圖像定位、深度神經網絡
👦Srikumar Ramalingam：個人主頁 谷歌學術
📜點面 SLAM：Taguchi Y, Jian Y D, Ramalingam S, et al.Point-plane SLAM for hand-held 3D sensors[C]//2013 IEEE international conference on robotics and automation. IEEE, 2013: 5182-5189.
📜點線定位：Ramalingam S, Bouaziz S, Sturm P.Pose estimation using both points and lines for geo-localization[C]//2011 IEEE International Conference on Robotics and Automation. IEEE, 2011: 4716-4723.（視頻）
📜2D 3D 定位：Ataer-Cansizoglu E, Taguchi Y, Ramalingam S.Pinpoint SLAM: A hybrid of 2D and 3D simultaneous localization and mapping for RGB-D sensors[C]//2016 IEEE international conference on robotics and automation (ICRA). IEEE, 2016: 1300-1307.（視頻）
研究方向：SLAM，圖像時空重構
👦個人主頁，谷歌學術
📜因子圖：Dellaert F.Factor graphs and GTSAM: A hands-on introduction[R]. Georgia Institute of Technology, 2012. （GTSAM 代碼：http://borg.cc.gatech.edu/ ）
📜多機器人分布式 SLAM：Cunningham A, Wurm K M, Burgard W, et al.Fully distributed scalable smoothing and mapping with robust multi-robot data association[C]//2012 IEEE International Conference on Robotics and Automation. IEEE, 2012: 1093-1100.
📜Choudhary S, Trevor A J B, Christensen H I, et al. SLAM with object discovery, modeling and mapping[C]//2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2014: 1018-1025.
研究方向：視覺 SLAM、三維重建、多目標跟蹤
👦個人主頁 谷歌學術
📜Zhao Y, Smith J S, Karumanchi S H, et al. Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy[J]. arXiv preprint arXiv:2003.01317, 2020.
📜Zhao Y, Vela P A. Good feature selection for least squares pose optimization in VO/VSLAM[C]//2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2018: 1183-1189.（代碼：https://github.com/ivalab/FullResults_GoodFeature ）
📜Zhao Y, Vela P A. Good line cutting: Towards accurate pose tracking of line-assisted VO/VSLAM[C]//Proceedings of the European Conference on Computer Vision (ECCV). 2018: 516-531. （代碼：https://github.com/ivalab/GF_PL_SLAM ）
研究方向：SLAM，不確定性建模
實驗室主頁：http://montrealrobotics.ca/
👦Liam Paull 教授：個人主頁 谷歌學術
📜Mu B, Liu S Y, Paull L, et al. Slam with objects using a nonparametric pose graph[C]//2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2016: 4602-4609.（代碼：https://github.com/BeipengMu/objectSLAM）
📜Murthy Jatavallabhula K, Iyer G, Paull L. gradSLAM: Dense SLAM meets Automatic Differentiation[J]. arXiv preprint arXiv:1910.10672, 2019.（代碼：https://github.com/montrealrobotics/gradSLAM ）
研究方向：移動機器人軟硬體設計
實驗室主頁：https://introlab.3it.usherbrooke.ca/
📜雷射視覺稠密重建：Labbé M, Michaud F.RTAB‐Map as an open‐source lidar and visual simultaneous localization and mapping library for large‐scale and long‐term online operation[J]. Journal of Field Robotics, 2019, 36(2): 416-446.
研究方向：移動機器人、無人機環境感知與導航，VISLAM，事件相機
實驗室主頁：http://rpg.ifi.uzh.ch/index.html
發表論文匯總：http://rpg.ifi.uzh.ch/publications.html
Github 代碼公開地址：https://github.com/uzh-rpg
📜Forster C, Pizzoli M, Scaramuzza D. SVO: Fast semi-direct monocular visual odometry[C]//2014 IEEE international conference on robotics and automation (ICRA). IEEE, 2014: 15-22.
📜VO/VIO 軌跡評估工具 rpg_trajectory_evaluation：https://github.com/uzh-rpg/rpg_trajectory_evaluation
📜事件相機項目主頁：http://rpg.ifi.uzh.ch/research_dvs.html
👦人物：Davide Scaramuzza 張子潮
研究方向：定位、三維重建、語義分割、機器人視覺
實驗室主頁：http://www.cvg.ethz.ch/index.php
發表論文：http://www.cvg.ethz.ch/publications/
📜視覺語義裡程計：Lianos K N, Schonberger J L, Pollefeys M, et al.Vso: Visual semantic odometry[C]//Proceedings of the European conference on computer vision (ECCV). 2018: 234-250.
📜視覺語義定位：CVPR 2018Semantic visual localization
📜大規模戶外建圖：Bârsan I A, Liu P, Pollefeys M, et al.Robust dense mapping for large-scale dynamic environments[C]//2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018: 7510-7517.
代碼：https://github.com/AndreiBarsan/DynSLAM
作者博士學位論文：Barsan I A.Simultaneous localization and mapping in dynamic scenes[D]. ETH Zurich, Department of Computer Science, 2017.
👦Marc Pollefeys：個人主頁，谷歌學術
👦Johannes L. Schönberger：個人主頁，谷歌學術
研究方向：機器人視覺場景與物體理解、機器人操縱
實驗室主頁：https://www.imperial.ac.uk/dyson-robotics-lab/
發表論文：https://www.imperial.ac.uk/dyson-robotics-lab/publications/
代表性工作：MonoSLAM、CodeSLAM、ElasticFusion、KinectFusion
📜ElasticFusion：Whelan T, Leutenegger S, Salas-Moreno R, et al.ElasticFusion: Dense SLAM without a pose graph[C]. Robotics: Science and Systems, 2015.（代碼：https://github.com/mp3guy/ElasticFusion ）
📜Semanticfusion：McCormac J, Handa A, Davison A, et al.Semanticfusion: Dense 3d semantic mapping with convolutional neural networks[C]//2017 IEEE International Conference on Robotics and automation (ICRA). IEEE, 2017: 4628-4635.（代碼：https://github.com/seaun163/semanticfusion ）
📜Code-SLAM：Bloesch M, Czarnowski J, Clark R, et al.CodeSLAM—learning a compact, optimisable representation for dense visual SLAM[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 2560-2568.
👦Andrew Davison：谷歌學術
研究方向：SLAM、目標跟蹤、運動結構、場景增強、移動機器人運動規劃、導航與建圖等等等
實驗室主頁：http://www.robots.ox.ac.uk/
發表論文匯總：
代表性工作：
📜Klein G, Murray D. PTAM: Parallel tracking and mapping for small AR workspaces[C]//2007 6th IEEE and ACM international symposium on mixed and augmented reality. IEEE, 2007: 225-234.
📜RobotCar 數據集：
https://robotcar-dataset.robots.ox.ac.uk/
👦人物（谷歌學術）：David Murray Maurice Fallon
部分博士學位論文可以在這裡搜到：https://ora.ox.ac.uk/
研究方向：三維重建、機器人視覺、深度學習、視覺 SLAM 等
實驗室主頁：https://vision.in.tum.de/research/vslam
發表論文匯總：https://vision.in.tum.de/publications
代表作：DSO、LDSO、LSD_SLAM、DVO_SLAM
📜DSO：Engel J, Koltun V, Cremers D.Direct sparse odometry[J]. IEEE transactions on pattern analysis and machine intelligence, 2017, 40(3): 611-625.（代碼：https://github.com/JakobEngel/dso ）
📜LSD-SLAM：Engel J, Schöps T, Cremers D.LSD-SLAM: Large-scale direct monocular SLAM[C]//European conference on computer vision. Springer, Cham, 2014: 834-849.（代碼：https://github.com/tum-vision/lsd_slam ）2.
Github 地址：https://github.com/tum-vision
👦Daniel Cremers 教授：個人主頁 谷歌學術
👦Jakob Engel（LSD-SLAM，DSO 作者）：個人主頁 谷歌學術
研究方向：智能體自主環境理解、導航與物體操縱
實驗室主頁：https://ev.is.tuebingen.mpg.de/
👦負責人 Jörg Stückler（前 TUM 教授）：個人主頁 谷歌學術
📜發表論文匯總：https://ev.is.tuebingen.mpg.de/publications
Kasyanov A, Engelmann F, Stückler J, et al. Keyframe-based visual-inertial online SLAM with relocalization[C]//2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2017: 6662-6669.
📜Strecke M, Stuckler J. EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association[C]//Proceedings of the IEEE International Conference on Computer Vision. 2019: 5865-5874.
📜Usenko, V., Demmel, N., Schubert, D., Stückler, J., Cremers, D. Visual-Inertial Mapping with Non-Linear Factor Recovery IEEE Robotics and Automation Letters (RA-L), 5, 2020
研究方向：多機器人導航與協作，環境建模與狀態估計
實驗室主頁：http://ais.informatik.uni-freiburg.de/index_en.php
發表論文匯總：http://ais.informatik.uni-freiburg.de/publications/index_en.php （學位論文也可以在這裡找到）
👦Wolfram Burgard：谷歌學術
開放數據集：http://aisdatasets.informatik.uni-freiburg.de/
📜RGB-D SLAM：Endres F, Hess J, Sturm J, et al.3-D mapping with an RGB-D camera[J]. IEEE transactions on robotics, 2013, 30(1): 177-187.（代碼：https://github.com/felixendres/rgbdslam_v2 ）
📜跨季節的 SLAM：Naseer T, Ruhnke M, Stachniss C, et al.Robust visual SLAM across seasons[C]//2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2015: 2529-2535.
📜博士學位論文：Robust Graph-Based Localization and Mapping 2015
📜博士學位論文：Discovering and Leveraging Deep Multimodal Structure for Reliable Robot Perception and Localization 2019
📜
博士學位論文：Robot Localization and Mapping in Dynamic Environments 2019
回覆：SLAM實驗室，即可獲取全文文檔（共36個實驗室介紹，本文20個）