Jonathan D. Gammell

University of Toronto, University of Oxford, Oxford Research Group, Science Oxford, Robotics Research (United States), Queen's University

论文数

21

总引用数

823

H-Index

9

关于

暂无简介。

研究焦点

Computer science19 · 820 次引用
Artificial intelligence17 · 729 次引用
Computer vision11 · 688 次引用
Sampling (signal processing)4 · 579 次引用
Algorithm6 · 548 次引用
Theoretical computer science4 · 518 次引用
Graph3 · 511 次引用
Bit (key)2 · 504 次引用
Random graph1 · 417 次引用
Robot12 · 259 次引用
Mathematics8 · 162 次引用
Motion (physics)4 · 127 次引用

主要成就

9
H 指数
21
论文
823
总引用数
39
篇均引用
🏆 最高被引论文
Batch Informed Trees (BIT*): Sampling-based Optimal Planning via the Heuristically Guided Search of Implicit Random Geometric Graphs
417 次引用 · 2015
📈 最高产年份: 2020 (3 论文)
🤝 主要合作者: 80
🏛 所属机构: University of Toronto, University of Oxford, Oxford Research Group, Science Oxford, Robotics Research (United States), Queen's University

代表论文

  1. 1
    Batch Informed Trees (BIT*): Sampling-based Optimal Planning via the Heuristically Guided Search of Implicit Random Geometric Graphs
    417 次引用 · 2015
  2. 2
    Advanced BIT* (ABIT*): sampling-based planning with advanced graph-search techniques
    87 次引用 · 2020
  3. 3
    Adaptively Informed Trees (AIT*) and Effort Informed Trees (EIT*): Asymmetric bidirectional sampling-based path planning
    70 次引用 · 2022
  4. 4
    Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions
    61 次引用 · 2018
  5. 5
    The Oxford Multimotion Dataset: Multiple SE(3) Motions With Ground Truth
    42 次引用 · 2019
  6. 6
    Surface Edge Explorer (see): Planning Next Best Views Directly from 3D Observations
    38 次引用 · 2018
  7. 7
    Into Darkness: Visual Navigation Based on a Lidar-Intensity-Image Pipeline
    34 次引用 · 2016
  8. 8
    Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning
    19 次引用 · 2022
  9. 9
    The surface edge explorer (SEE): A measurement-direct approach to next best view planning
    11 次引用 · 2024
  10. 10
    Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort
    7 次引用 · 2023

主要合作者

MPMarlin P. Strub5 篇合著论文TDTimothy D. Barfoot5 篇合著论文SMStephen Mellon4 篇合著论文CMColin McManus4 篇合著论文IYIrene Yang4 篇合著论文PFPaul Furgale4 篇合著论文DWDavid W. Murray4 篇合著论文CHChi Hay Tong3 篇合著论文KMKevin M. Judd2 篇合著论文MRMark R. Beauchamp2 篇合著论文JEJohn Enright2 篇合著论文SASean Anderson2 篇合著论文EMEmily McCullough2 篇合著论文EBErik Beerepoot2 篇合著论文KLK. Leung2 篇合著论文MGM. G. Daly2 篇合著论文RBRowan Border2 篇合著论文GRG. R. Osinski2 篇合著论文HDH. Dong2 篇合著论文PJPiotr Jasiobedzki2 篇合著论文
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