机器人学习--Mobile robot国内外优秀实验室
部分內容轉自:
【泡泡圖靈智庫】SLAM 領域國內外優秀實驗室匯總 1/3
【泡泡圖靈智庫】SLAM 領域國內外優秀實驗室匯總 2/3
國內:
1. 東北大學
信息科學與工程學院? 方正教授
研究方向:移動機器人的“環境感知與自主導航”
?方正
機器人科學與工程學院?機器人科學與工程學院
佟國峰教授等團隊? 機器人與人工智能實驗室:?東北大學“985工程”人工智能與機器人實驗室
2. 浙江大學
章國峰教授 注重視覺SLAM
3.香港科技大學
沈邵潔老師團隊
VinsMono的作者
4. 湖南大學
5. 國防科技大學
NuBot Research Team - 確實激發創新Trustiehttps://nubot.trustie.net/organizations/23
國外:
1. 美國卡內基梅隆大學機器人研究所
研究方向:機器人感知、結構,服務型、運輸、制造業、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:https://natanaso.github.io/
👦?Sebastian Scherer?個人主頁:https://www.ri.cmu.edu/ri-faculty/sebastian-scherer/
📜 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.
2.?美國加州大學圣地亞哥分校語境機器人研究所
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:
????機器人狀態估計與感知課程 ppt:
????https://natanaso.github.io/ece276a2019/schedule.html
📜?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.
📜?基于事件相機的 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.
3.?美國特拉華大學機器人感知與導航組
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
👦?黃國權教授主頁:http://udel.edu/~ghuang/index.html
📜 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
4. 美國麻省理工學院航空航天實驗室
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里找到)
👦?Jonathan P. How?教授個人主頁:http://www.mit.edu/people/jhow/
👦?Kasra Khosoussi(SLAM 圖優化)谷歌學術:https://scholar.google.com/citations?user=SRCCuo0AAAAJ&hl=zh-CN&oi=sra
📜?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 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.
5. 美國麻省理工學院 SPARK 實驗室
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:https://lucacarlone.mit.edu/
📜?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
6. 美國麻省理工學院海洋機器人組
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/ (隸屬于 MIT 計算機科學與人工智能實驗室)
👦?John Leonard 教授谷歌學術:https://scholar.google.com/citations?user=WPe7vWwAAAAJ&hl=zh-CN&authuser=1&oi=ao
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.
7. 美國明尼蘇達大學多元自主機器人系統實驗室
研究方向:視覺、激光、慣性導航系統,移動設備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:https://www-users.cs.umn.edu/~stergios/
📜?移動設備 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 )
📜?移動設備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
8. 美國賓夕法尼亞大學 Vijay Kumar 實驗室
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.
9. Srikumar Ramalingam(美國猶他大學計算機學院)
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:https://www.cs.utah.edu/~srikumar/
📜?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.
📜 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.
10. Frank Dellaert(美國佐治亞理工學院機器人與智能機器研究中心)
研究方向:SLAM,圖像時空重構
👦?個人主頁:https://www.cc.gatech.edu/~dellaert/FrankDellaert/Frank_Dellaert/Frank_Dellaert.html
📜?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.
11. 趙軼璞(美國佐治亞理工學院智能視覺與自動化實驗室)
研究方向:視覺 SLAM、三維重建、多目標跟蹤
👦?個人主頁?:https://sites.google.com/site/zhaoyipu/home?authuser=0
📜 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 )
12.?加拿大舍布魯克大學智能、交互、綜合、跨學科機器人實驗室
研究方向:移動機器人軟硬件設計
實驗室主頁:https://introlab.3it.usherbrooke.ca/
📜?激光視覺稠密重建: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.
代碼:https://github.com/introlab/rtabmap
項目主頁:http://introlab.github.io/rtabmap/
13. 加拿大蒙特利爾大學 機器人與嵌入式 AI 實驗室
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:https://liampaull.ca/index.html
📜 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 )
14. 瑞士蘇黎世大學機器人與感知課題組
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
👦?Davide Scaramuzza?主頁:http://rpg.ifi.uzh.ch/people_scaramuzza.html
👦?張子潮主頁:https://www.ifi.uzh.ch/en/rpg/people/zichao.html
15. 瑞士蘇黎世聯邦理工計算機視覺與幾何實驗室
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/
📜?視覺語義里程計: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 2018?Semantic visual localization
????作者博士學位論文:2018?Robust Methods for Accurate and Efficient 3D Modeling from Unstructured Imagery
📜?大規模戶外建圖:Barsan 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:http://people.inf.ethz.ch/pomarc/index.html
👦?Johannes L. Sch?nberger?個人主頁:https://demuc.de/
Cesar Dario Cadena Lerma
Cesar Cadena's Homepage
16. 英國帝國理工學院戴森機器人實驗室
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:https://scholar.google.com/citations?user=A0ae1agAAAAJ&hl=zh-CN&oi=ao
Andrew Davison: Research
17. 英國牛津大學信息工程學
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/
主動視覺實驗室:http://www.robots.ox.ac.uk/ActiveVision/
牛津機器人學院:https://ori.ox.ac.uk/
發表論文匯總:
????主動視覺實驗室:http://www.robots.ox.ac.uk/ActiveVision/Publications/index.html
????機器人學院:https://ori.ox.ac.uk/publications/papers/
📜 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/
👦 David Murray 谷歌學術:https://scholar.google.com.hk/citations?hl=zh-CN&user=O5QreiwAAAAJ
👦 Maurice Fallon 谷歌學術:https://ori.ox.ac.uk/ori-people/maurice-fallon/
部分博士學位論文可以在這里搜到:https://ora.ox.ac.uk/
-- 牛津大學 視覺幾何組 VGG? 目標檢測神經網絡經典架構VGG團隊名稱。?Visual Geometry Group - University of Oxford
18. 德國慕尼黑工業大學計算機視覺組
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, Sch?ps 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:https://vision.in.tum.de/members/cremers
👦?Jakob Engel(LSD-SLAM,DSO 作者)個人主頁:https://jakobengel.github.io/
19. 德國馬克斯普朗克智能系統研究所嵌入式視覺組
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 J?rg Stückler(前 TUM 教授)個人主頁:https://ev.is.tuebingen.mpg.de/person/jstueckler
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?[J] IEEE Robotics and Automation Letters (RA-L), 5, 2020
20. 德國弗萊堡大學智能自主系統實驗室
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里找到)
👦?Wolfram Burgard?谷歌學術:https://scholar.google.com/citations?user=zj6FavAAAAAJ&hl=zh-CN&oi=ao
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
21.?Cyrill Stachniss(德國波恩大學攝影測量與機器人實驗室)
研究方向:概率機器人、SLAM、自主導航、視覺激光感知、場景分析與分配、無人飛行器
實驗室主頁:https://www.ipb.uni-bonn.de/
👦?個人主頁:https://www.ipb.uni-bonn.de/people/cyrill-stachniss/
發表論文匯總:https://www.ipb.uni-bonn.de/publications/
開源代碼:https://github.com/PRBonn
📜 IROS 2019 激光語義 SLAM:Chen X, Milioto A, Palazzolo E, et al.?SuMa++: Efficient LiDAR-based semantic SLAM[C]//2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE,?2019: 4530-4537.(代碼:https://github.com/PRBonn/semantic_suma/?)
Cyrill Stachniss 教授 SLAM 公開課:https://space.bilibili.com/16886998/channel/detail?cid=118821
波恩大學另外一個智能自主系統實驗室:http://www.ais.uni-bonn.de/research.html
22. 西班牙薩拉戈薩大學機器人、感知與實時組 SLAM 實驗室
研究方向:視覺 SLAM、物體 SLAM、非剛性 SLAM、機器人、增強現實
實驗室主頁:http://robots.unizar.es/slamlab/
發表論文:http://robots.unizar.es/slamlab/?extra=3 (論文好像沒更新,可以訪問下面實驗室大佬的谷歌學術查看最新論文)
👦?J. M. M. Montiel?谷歌學術:https://scholar.google.com/citations?user=D99JRxwAAAAJ&hl=zh-CN&oi=sra
📜 Mur-Artal R, Tardós J D.?Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras[J]. IEEE Transactions on Robotics, 2017, 33(5): 1255-1262.
📜?Gálvez-López D, Salas M, Tardós J D, et al.?Real-time monocular object slam[J]. Robotics and Autonomous Systems, 2016, 75: 435-449.
📜 Strasdat H, Montiel J M M, Davison A J.?Real-time monocular SLAM: Why filter?[C]//2010 IEEE International Conference on Robotics and Automation. IEEE, 2010: 2657-2664.
📜 Zubizarreta J, Aguinaga I, Montiel J M M.?Direct sparse mapping[J]. arXiv preprint arXiv:1904.06577, 2019.
📜?Elvira R, Tardós J D, Montiel J M M.?ORBSLAM-Atlas: a robust and accurate multi-map system[J]. arXiv preprint arXiv:1908.11585, 2019.
23. 西班牙馬拉加大學機器感知與智能機器人課題組
研究方向:自主機器人、人工嗅覺、計算機視覺
實驗室主頁:http://mapir.uma.es/mapirwebsite/index.php/topics-2.html
發表論文匯總:http://mapir.isa.uma.es/mapirwebsite/index.php/publications-menu-home.html
📜 Gomez-Ojeda R, Moreno F A, Zu?iga-No?l D, et al.?PL-SLAM: a stereo SLAM system through the combination of points and line segments[J]. IEEE Transactions on Robotics, 2019, 35(3): 734-746.(代碼:https://github.com/rubengooj/pl-slam )
👦?Francisco-Angel Moreno?個人主頁:http://mapir.isa.uma.es/mapirwebsite/index.php/people/199-francisco-moreno-due%C3%B1as
👦?Ruben Gomez-Ojeda?(點線 SLAM )個人主頁:https://scholar.google.com/citations?user=7jne0V4AAAAJ&hl=zh-CN&oi=sra
📜 Gomez-Ojeda R, Briales J, Gonzalez-Jimenez J.?PL-SVO: Semi-direct Monocular Visual Odometry by combining points and line segments[C]//Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on. IEEE, 2016: 4211-4216.(代碼:https://github.com/rubengooj/pl-svo )
📜 Gomez-Ojeda R, Gonzalez-Jimenez J.?Robust stereo visual odometry through a probabilistic combination of points and line segments[C]//2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2016: 2521-2526.(代碼:https://github.com/rubengooj/stvo-pl )
📜 Gomez-Ojeda R, Zu?iga-No?l D, Moreno F A, et al.?PL-SLAM: a Stereo SLAM System through the Combination of Points and Line Segments[J]. arXiv preprint arXiv:1705.09479, 2017.(代碼:https://github.com/rubengooj/pl-slam )
24. Alejo Concha(Oculus VR,西班牙薩拉戈薩大學)
研究方向:SLAM,單目稠密重建,傳感器融合
👦 個人主頁:https://sites.google.com/view/alejoconcha/?
Github:https://github.com/alejocb
📜 IROS 2015 單目平面重建:DPPTAM: Dense piecewise planar tracking and mapping from a monocular sequence?(代碼:https://github.com/alejocb/dpptam )
📜 IROS 2017 開源 RGB-D SLAM:RGBDTAM: A Cost-Effective and Accurate RGB-D Tracking and Mapping System(代碼:https://github.com/alejocb/rgbdtam )
📜 ICRA 2016:Visual-inertial direct SLAM
📜 ICRA 2014:Using Superpixels in Monocular SLAM
RSS 2014:Manhattan and Piecewise-Planar Constraints for Dense Monocular Mapping
25. 奧地利格拉茨技術大學計算機圖形學與視覺研究所
研究方向:AR/VR,機器人視覺,機器學習,目標識別與三維重建
實驗室主頁:https://www.tugraz.at/institutes/icg/home/
👦?Friedrich Fraundorfer 教授團隊主頁:https://www.tugraz.at/institutes/icg/research/team-fraundorfer/
📜?Visual Odometry: Part I The First 30 Years and Fundamentals
📜?Visual Odometry: Part II: Matching, Robustness, Optimization, and Applications
📜 Schenk F, Fraundorfer F.?RESLAM: A real-time robust edge-based SLAM system[C]//2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019: 154-160.(代碼:https://github.com/fabianschenk/RESLAM )
👦?Dieter Schmalstieg 教授團隊主頁:https://www.tugraz.at/institutes/icg/research/team-fraundorfer/
📜 增強現實教科書:Augmented Reality: Principles and Practice
📜 Arth C, Pirchheim C, Ventura J, et al.?Instant outdoor localization and slam initialization from 2.5 d maps[J]. IEEE transactions on visualization and computer graphics, 2015, 21(11): 1309-1318.
📜 Hachiuma R, Pirchheim C, Schmalstieg D, et al.?DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM[J]. arXiv preprint arXiv:1907.09127, 2019.
26. 波蘭波茲南工業大學移動機器人實驗室
研究方向:SLAM,機器人運動規劃,控制
實驗室主頁:http://lrm.put.poznan.pl/
Github 主頁:https://github.com/LRMPUT
📜 Wietrzykowski J.?On the representation of planes for efficient graph-based slam with high-level features[J]. Journal of Automation Mobile Robotics and Intelligent Systems, 2016, 10.(代碼:https://github.com/LRMPUT/PlaneSLAM )
📜 Wietrzykowski J, Skrzypczyński P.?PlaneLoc: Probabilistic global localization in 3-D using local planar features[J]. Robotics and Autonomous Systems, 2019.(代碼:https://github.com/LRMPUT/PlaneLoc )
📜?PUTSLAM:http://lrm.put.poznan.pl/putslam/
27. Alexander Vakhitov(三星莫斯科 AI 中心)
研究方向:SLAM,幾何視覺
👦?個人主頁:https://alexandervakhitov.github.io/?
📜?點線 SLAM:ICRA 2017?PL-SLAM: Real-time monocular visual SLAM with points and lines
📜?點線定位:Pumarola A, Vakhitov A, Agudo A, et al.?Relative localization for aerial manipulation with PL-SLAM[M]//Aerial Robotic Manipulation. Springer, Cham, 2019: 239-248.
📜?學習型線段:IEEE Access 2019?Learnable line segment descriptor for visual SLAM(代碼:https://github.com/alexandervakhitov/lld-slam )
28.西班牙薩拉戈薩大學
José?Neira?Parra,Grupo de Robótica y Tiempo Real?
個人主頁?José Neira Homepage
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