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Tim D. Barfoot
Timothy D. Barfoot
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2020 – today
- 2025
- [j75]Daniil Lisus
, Keenan Burnett
, David J. Yoon
, Richard Poulton, John Marshall, Timothy D. Barfoot
:
Are Doppler Velocity Measurements Useful for Spinning Radar Odometry? IEEE Robotics Autom. Lett. 10(1): 224-231 (2025) - [j74]Sven Lilge
, Timothy D. Barfoot
, Jessica Burgner-Kahrs
:
State Estimation for Continuum Multirobot Systems on SE(3). IEEE Trans. Robotics 41: 905-925 (2025) - [j73]Keenan Burnett
, Angela P. Schoellig
, Timothy D. Barfoot
:
Continuous-Time Radar-Inertial and Lidar-Inertial Odometry Using a Gaussian Process Motion Prior. IEEE Trans. Robotics 41: 1059-1076 (2025) - 2024
- [j72]Johann Laconte
, Daniil Lisus
, Timothy D. Barfoot
:
Toward Certifying Maps for Safe Registration-Based Localization Under Adverse Conditions. IEEE Robotics Autom. Lett. 9(2): 1572-1579 (2024) - [j71]Abhishek Goudar
, Frederike Dümbgen
, Timothy D. Barfoot
, Angela P. Schoellig
:
Optimal Initialization Strategies for Range-Only Trajectory Estimation. IEEE Robotics Autom. Lett. 9(3): 2160-2167 (2024) - [j70]Zi Cong Guo
, Frederike Dümbgen
, James Richard Forbes
, Timothy D. Barfoot
:
Data-Driven Batch Localization and SLAM Using Koopman Linearization. IEEE Trans. Robotics 40: 3964-3983 (2024) - [j69]Haoming Zhang
, Chih-Chun Chen
, Heike Vallery
, Timothy D. Barfoot
:
GNSS/Multisensor Fusion Using Continuous-Time Factor Graph Optimization for Robust Localization. IEEE Trans. Robotics 40: 4003-4023 (2024) - [j68]Frederike Dümbgen
, Connor Holmes
, Ben Agro
, Timothy D. Barfoot
:
Toward Globally Optimal State Estimation Using Automatically Tightened Semidefinite Relaxations. IEEE Trans. Robotics 40: 4338-4358 (2024) - [j67]Kyle Harlow
, Hyesu Jang
, Timothy D. Barfoot
, Ayoung Kim
, Christoffer Heckman
:
A New Wave in Robotics: Survey on Recent MmWave Radar Applications in Robotics. IEEE Trans. Robotics 40: 4544-4560 (2024) - [j66]Connor Holmes
, Frederike Dümbgen
, Timothy D. Barfoot
:
On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics. IEEE Trans. Robotics 40: 4805-4824 (2024) - [c101]Hugues Thomas, Yao-Hung Hubert Tsai, Timothy D. Barfoot, Jian Zhang:
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention. CVPR 2024: 5525-5535 - [i81]Sven Lilge, Timothy D. Barfoot, Jessica Burgner-Kahrs:
State Estimation for Continuum Multi-Robot Systems on SE(3). CoRR abs/2401.13540 (2024) - [i80]Jacob Johnson, Joshua G. Mangelson, Timothy D. Barfoot, Randal W. Beard:
Continuous-time Trajectory Estimation: A Comparative Study Between Gaussian Process and Spline-based Approaches. CoRR abs/2402.00399 (2024) - [i79]Keenan Burnett, Angela P. Schoellig, Timothy D. Barfoot:
Continuous-Time Radar-Inertial and Lidar-Inertial Odometry using a Gaussian Process Motion Prior. CoRR abs/2402.06174 (2024) - [i78]Alexander Krawciw, Sven Lilge, Timothy D. Barfoot:
LaserSAM: Zero-Shot Change Detection Using Visual Segmentation of Spinning LiDAR. CoRR abs/2402.10321 (2024) - [i77]Ziyu Zhang, Johann Laconte, Daniil Lisus, Timothy D. Barfoot:
Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP Algorithm. CoRR abs/2403.05666 (2024) - [i76]Keenan Burnett, Angela P. Schoellig, Timothy D. Barfoot:
IMU as an Input vs. a Measurement of the State in Inertial-Aided State Estimation. CoRR abs/2403.05968 (2024) - [i75]Daniil Lisus, Keenan Burnett, David J. Yoon, Timothy D. Barfoot:
Are Doppler Velocity Measurements Useful for Spinning Radar Odometry? CoRR abs/2404.01537 (2024) - [i74]Matej Boxan, Alexander Krawciw, Effie Daum, Xinyuan Qiao, Sven Lilge, Timothy D. Barfoot, François Pomerleau:
FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in For\^et Montmorency. CoRR abs/2404.13166 (2024) - [i73]Hugues Thomas, Yao-Hung Hubert Tsai, Timothy D. Barfoot, Jian Zhang:
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention. CoRR abs/2405.13194 (2024) - [i72]Connor Holmes, Frederike Dümbgen, Timothy D. Barfoot:
SDPRLayers: Certifiable Backpropagation Through Polynomial Optimization Problems in Robotics. CoRR abs/2405.19309 (2024) - [i71]Frederike Dümbgen, Connor Holmes, Timothy D. Barfoot:
Exploiting Chordal Sparsity for Fast Global Optimality with Application to Localization. CoRR abs/2406.02365 (2024) - [i70]Sven Lilge, Timothy D. Barfoot:
Incorporating Control Inputs in the Estimation of Continuous Mobile Robot Trajectories and Continuum Robot Shapes. CoRR abs/2408.01333 (2024) - [i69]Binbin Xu, Allen Tao, Hugues Thomas, Jian Zhang, Timothy D. Barfoot:
MakeWay: Object-Aware Costmaps for Proactive Indoor Navigation Using LiDAR. CoRR abs/2408.17034 (2024) - [i68]Zi Cong Guo, James Richard Forbes, Timothy D. Barfoot:
Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics. CoRR abs/2409.09871 (2024) - [i67]Xinyuan Qiao, Alexander Krawciw, Sven Lilge, Timothy D. Barfoot:
Radar Teach and Repeat: Architecture and Initial Field Testing. CoRR abs/2409.10491 (2024) - [i66]Elliot Preston-Krebs, Daniil Lisus, Timothy D. Barfoot:
The Finer Points: A Systematic Comparison of Point-Cloud Extractors for Radar Odometry. CoRR abs/2409.12256 (2024) - [i65]Spencer Teetaert, Sven Lilge, Jessica Burgner-Kahrs, Timothy D. Barfoot:
Space-Time Continuum: Continuous Shape and Time State Estimation for Flexible Robots. CoRR abs/2409.12302 (2024) - [i64]James R. Han, Hugues Thomas, Jian Zhang, Nicholas Rhinehart, Timothy D. Barfoot:
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation. CoRR abs/2410.10646 (2024) - [i63]William Talbot, Julian Nubert, Turcan Tuna, César Cadena, Frederike Dümbgen, Jesus Tordesillas, Timothy D. Barfoot, Marco Hutter:
Continuous-Time State Estimation Methods in Robotics: A Survey. CoRR abs/2411.03951 (2024) - 2023
- [j65]Keenan Burnett
, David J. Yoon, Yuchen Wu, Andrew Zou Li
, Haowei Zhang, Shichen Lu, Jingxing Qian, Wei-Kang Tseng, Andrew Lambert, Keith Yk Leung, Angela P. Schoellig
, Timothy D. Barfoot
:
Boreas: A multi-season autonomous driving dataset. Int. J. Robotics Res. 42(1-2): 33-42 (2023) - [j64]Yuchen Wu
, David J. Yoon
, Keenan Burnett
, Sören Kammel, Yi Chen, Heethesh Vhavle
, Timothy D. Barfoot
:
Picking up Speed: Continuous-Time Lidar-Only Odometry Using Doppler Velocity Measurements. IEEE Robotics Autom. Lett. 8(1): 264-271 (2023) - [j63]Yuxuan Chen
, Timothy D. Barfoot
:
Self-Supervised Feature Learning for Long-Term Metric Visual Localization. IEEE Robotics Autom. Lett. 8(2): 472-479 (2023) - [j62]Frederike Dümbgen
, Connor Holmes
, Timothy D. Barfoot
:
Safe and Smooth: Certified Continuous-Time Range-Only Localization. IEEE Robotics Autom. Lett. 8(2): 1117-1124 (2023) - [j61]Connor Holmes
, Timothy D. Barfoot
:
An Efficient Global Optimality Certificate for Landmark-Based SLAM. IEEE Robotics Autom. Lett. 8(3): 1539-1546 (2023) - [j60]Timothy D. Barfoot
, Gabriele M. T. D'Eleuterio:
Variational inference as iterative projection in a Bayesian Hilbert space with application to robotic state estimation. Robotica 41(2): 632-667 (2023) - [j59]Hugues Thomas
, Jian Zhang
, Timothy D. Barfoot
:
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation. IEEE Trans. Robotics 39(6): 4581-4599 (2023) - [c100]Abhishek Goudar, Timothy D. Barfoot, Angela P. Schoellig:
Continuous-Time Range-Only Pose Estimation. CRV 2023: 29-36 - [c99]Jordy Sehn, Yuchen Wu, Timothy D. Barfoot:
Along Similar Lines: Local Obstacle Avoidance for Long-Term Autonomous Path Following. CRV 2023: 81-88 - [c98]Yizhou Huang, Hamza Dugmag, Timothy D. Barfoot, Florian Shkurti:
Stochastic Planning for ASV Navigation Using Satellite Images. ICRA 2023: 1055-1061 - [c97]David J. Yoon, Timothy D. Barfoot:
Towards Consistent Batch State Estimation Using a Time-Correlated Measurement Noise Model. ICRA 2023: 3962-3968 - [c96]Yuxuan Chen, Binbin Xu, Frederike Dümbgen, Timothy D. Barfoot:
What to Learn: Features, Image Transformations, or Both? IROS 2023: 3351-3357 - [c95]David J. Yoon, Keenan Burnett, Johann Laconte
, Yi Chen, Heethesh Vhavle, Sören Kammel, James Reuther, Timothy D. Barfoot:
Need for Speed: Fast Correspondence-Free Lidar-Inertial Odometry Using Doppler Velocity. IROS 2023: 5304-5310 - [i62]David J. Yoon, Timothy D. Barfoot:
Towards Consistent Batch State Estimation Using a Time-Correlated Measurement Noise Model. CoRR abs/2303.06507 (2023) - [i61]David J. Yoon, Keenan Burnett, Johann Laconte, Yi Chen, Heethesh Vhavle
, Sören Kammel, James Reuther, Timothy D. Barfoot:
Need for Speed: Fast Correspondence-Free Lidar Odometry Using Doppler Velocity. CoRR abs/2303.06511 (2023) - [i60]Abhishek Goudar, Timothy D. Barfoot, Angela P. Schoellig:
Continuous-Time Range-Only Pose Estimation. CoRR abs/2304.09043 (2023) - [i59]Kyle Harlow, Hyesu Jang, Timothy D. Barfoot, Ayoung Kim, Christoffer Heckman:
A New Wave in Robotics: Survey on Recent mmWave Radar Applications in Robotics. CoRR abs/2305.01135 (2023) - [i58]Yuxuan Chen, Binbin Xu, Frederike Dümbgen, Timothy D. Barfoot:
What to Learn: Features, Image Transformations, or Both? CoRR abs/2306.13040 (2023) - [i57]Frederike Dümbgen, Connor Holmes, Ben Agro, Timothy D. Barfoot:
Toward Globally Optimal State Estimation Using Automatically Tightened Semidefinite Relaxations. CoRR abs/2308.05783 (2023) - [i56]Connor Holmes, Frederike Dümbgen, Timothy D. Barfoot:
On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics. CoRR abs/2308.07275 (2023) - [i55]Timothy D. Barfoot, Connor Holmes, Frederike Dümbgen:
Certifiably Optimal Rotation and Pose Estimation Based on the Cayley Map. CoRR abs/2308.12418 (2023) - [i54]Johann Laconte, Daniil Lisus, Timothy D. Barfoot:
Toward Certifying Maps for Safe Localization Under Adversarial Corruption. CoRR abs/2309.04251 (2023) - [i53]Zi Cong Guo, Frederike Dümbgen, James Richard Forbes, Timothy D. Barfoot:
Data-Driven Batch Localization and SLAM Using Koopman Linearization. CoRR abs/2309.04375 (2023) - [i52]Frederike Dümbgen, Mohammed Ayman Shalaby, Connor Holmes, Charles Champagne Cossette, James Richard Forbes, Jerome Le Ny, Timothy D. Barfoot:
STAR-loc: Dataset for STereo And Range-based localization. CoRR abs/2309.05518 (2023) - [i51]Daniil Lisus, Johann Laconte, Keenan Burnett, Timothy D. Barfoot:
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights. CoRR abs/2309.08731 (2023) - [i50]Abhishek Goudar, Frederike Dümbgen, Timothy D. Barfoot, Angela P. Schoellig:
Optimal Initialization Strategies for Range-Only Trajectory Estimation. CoRR abs/2309.09011 (2023) - [i49]Jordy Sehn, Jack Collier, Timothy D. Barfoot:
Off the Beaten Track: Laterally Weighted Motion Planning for Local Obstacle Avoidance. CoRR abs/2309.09334 (2023) - [i48]Alexander Krawciw, Jordy Sehn, Timothy D. Barfoot:
Change of Scenery: Unsupervised LiDAR Change Detection for Mobile Robots. CoRR abs/2309.10924 (2023) - [i47]Haoming Zhang, Chih-Chun Chen, Heike Vallery
, Timothy D. Barfoot:
GNSS/Multi-Sensor Fusion Using Continuous-Time Factor Graph Optimization for Robust Localization. CoRR abs/2309.11134 (2023) - [i46]Philip Huang, Tony Wang, Florian Shkurti, Timothy D. Barfoot:
Field Testing of a Stochastic Planner for ASV Navigation Using Satellite Images. CoRR abs/2309.14657 (2023) - 2022
- [j58]Benjamin Congram
, Timothy D. Barfoot
:
Field Testing and Evaluation of Single-Receiver GPS Odometry for Use in Robotic Navigation. Field Robotics 2(1): 1849-1873 (2022) - [j57]Sven Lilge
, Timothy D. Barfoot
, Jessica Burgner-Kahrs
:
Continuum robot state estimation using Gaussian process regression on SE(3). Int. J. Robotics Res. 41(13-14): 1099-1120 (2022) - [j56]Zi Cong Guo
, Vassili Korotkine
, James Richard Forbes
, Timothy D. Barfoot
:
Koopman Linearization for Data-Driven Batch State Estimation of Control-Affine Systems. IEEE Robotics Autom. Lett. 7(2): 866-873 (2022) - [j55]Mona Gridseth
, Timothy D. Barfoot:
Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization. IEEE Robotics Autom. Lett. 7(2): 1016-1023 (2022) - [j54]Keenan Burnett
, Yuchen Wu
, David J. Yoon
, Angela P. Schoellig
, Timothy D. Barfoot
:
Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization? IEEE Robotics Autom. Lett. 7(4): 10328-10335 (2022) - [j53]Timothy D. Barfoot
, James Richard Forbes, Gabriele M. T. D'Eleuterio:
Vectorial parameterizations of pose. Robotica 40(7): 2409-2427 (2022) - [c94]Hugues Thomas, Matthieu Gallet de Saint Aurin, Jian Zhang, Timothy D. Barfoot:
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes. ICRA 2022: 484-490 - [c93]Abhishek Goudar, Wenda Zhao, Timothy D. Barfoot, Angela P. Schoellig:
Gaussian Variational Inference with Covariance Constraints Applied to Range-only Localization. IROS 2022: 2872-2879 - [i45]Keenan Burnett, David J. Yoon, Yuchen Wu, Andrew Zou Li, Haowei Zhang, Shichen Lu, Jingxing Qian, Wei-Kang Tseng, Andrew Lambert, Keith Yu Kit Leung, Angela P. Schoellig, Timothy D. Barfoot:
Boreas: A Multi-Season Autonomous Driving Dataset. CoRR abs/2203.10168 (2022) - [i44]Keenan Burnett, Yuchen Wu, David J. Yoon, Angela P. Schoellig, Timothy D. Barfoot:
Should Radar Replace Lidar in All-Weather Mapping and Localization? CoRR abs/2203.10174 (2022) - [i43]Gabriele M. T. D'Eleuterio, Timothy D. Barfoot:
On the Eigenstructure of Rotations and Poses: Commonalities and Peculiarities. CoRR abs/2206.03880 (2022) - [i42]Timothy D. Barfoot, Connor Holmes, Frederike Dümbgen:
A Fine Line: Total Least-Squares Line Fitting as QCQP Optimization. CoRR abs/2206.05082 (2022) - [i41]Connor Holmes, Timothy D. Barfoot:
An Efficient Global Optimality Certificate for Landmark-Based SLAM. CoRR abs/2206.12961 (2022) - [i40]Hugues Thomas, Jian Zhang, Timothy D. Barfoot:
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation. CoRR abs/2208.12602 (2022) - [i39]Yuchen Wu, David J. Yoon, Keenan Burnett, Sören Kammel, Yi Chen, Heethesh Vhavle, Timothy D. Barfoot:
Picking Up Speed: Continuous-Time Lidar-Only Odometry using Doppler Velocity Measurements. CoRR abs/2209.03304 (2022) - [i38]Frederike Dümbgen, Connor Holmes, Timothy D. Barfoot:
Safe and Smooth: Certified Continuous-Time Range-Only Localization. CoRR abs/2209.04266 (2022) - [i37]Yizhou Huang, Hamza Dugmag, Timothy D. Barfoot, Florian Shkurti:
Stochastic Planning for ASV Navigation Using Satellite Images. CoRR abs/2209.11864 (2022) - [i36]Sven Lilge, Timothy D. Barfoot, Jessica Burgner-Kahrs:
Continuum Robot State Estimation Using Gaussian Process Regression on SE(3). CoRR abs/2210.14842 (2022) - [i35]Jordy Sehn, Yuchen Wu, Timothy D. Barfoot:
Along Similar Lines: Local Obstacle Avoidance for Long-term Autonomous Path Following. CoRR abs/2211.02047 (2022) - [i34]Yuxuan Chen, Timothy D. Barfoot:
Self-Supervised Feature Learning for Long-Term Metric Visual Localization. CoRR abs/2212.00122 (2022) - 2021
- [j52]Thrishantha Nanayakkara, Tim D. Barfoot, Thomas Howard:
Robotics: Science and Systems (RSS) 2020. Int. J. Robotics Res. 40(12-14): 1329-1330 (2021) - [j51]Keenan Burnett
, Jingxing Qian, Xintong Du, Linqiao Liu, David J. Yoon, Tianchang Shen, Susan Sun, Sepehr Samavi, Michael J. Sorocky, Mollie Bianchi, Kaicheng Zhang, Arkady Arkhangorodsky, Quinlan Sykora, Shichen Lu, Yizhou Huang, Angela P. Schoellig, Timothy D. Barfoot:
Zeus: A system description of the two-time winner of the collegiate SAE autodrive competition. J. Field Robotics 38(1): 139-166 (2021) - [j50]Keenan Burnett
, Angela P. Schoellig
, Timothy D. Barfoot
:
Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation? IEEE Robotics Autom. Lett. 6(2): 771-778 (2021) - [j49]Mollie Bianchi
, Timothy D. Barfoot
:
UAV Localization Using Autoencoded Satellite Images. IEEE Robotics Autom. Lett. 6(2): 1761-1768 (2021) - [j48]David J. Yoon
, Haowei Zhang, Mona Gridseth, Hugues Thomas
, Timothy D. Barfoot
:
Unsupervised Learning of Lidar Features for Use ina Probabilistic Trajectory Estimator. IEEE Robotics Autom. Lett. 6(2): 2130-2138 (2021) - [c92]Benjamin Congram, Timothy D. Barfoot:
Relatively Lazy: Indoor-Outdoor Navigation Using Vision and GNSS. CRV 2021: 25-32 - [c91]Wei-Kang Tseng, Angela P. Schoellig, Timothy D. Barfoot:
Self-Calibration of the Offset Between GPS and Semantic Map Frames for Robust Localization. CRV 2021: 173-180 - [c90]Rehman S. Merali, Timothy D. Barfoot:
MCMC Occupancy Grid Mapping with a Data-Driven Patch Prior. ICRA 2021: 5988-5995 - [c89]Hugues Thomas, Ben Agro, Mona Gridseth, Jian Zhang, Timothy D. Barfoot:
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation. ICRA 2021: 14047-14053 - [c88]Keenan Burnett, David J. Yoon, Angela P. Schoellig, Tim D. Barfoot:
Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning. Robotics: Science and Systems 2021 - [i33]Benjamin Congram, Timothy D. Barfoot:
Relatively Lazy: Indoor-Outdoor Navigation Using Vision and GNSS. CoRR abs/2101.05107 (2021) - [i32]Mollie Bianchi, Timothy D. Barfoot:
UAV Localization Using Autoencoded Satellite Images. CoRR abs/2102.05692 (2021) - [i31]David J. Yoon, Haowei Zhang, Mona Gridseth, Hugues Thomas, Timothy D. Barfoot:
Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator. CoRR abs/2102.11261 (2021) - [i30]Timothy D. Barfoot:
A Geometric Algebra Solution to Wahba's Problem. CoRR abs/2103.03773 (2021) - [i29]Timothy D. Barfoot, James Richard Forbes, Gabriele M. T. D'Eleuterio:
Vectorial Parameterizations of Pose. CoRR abs/2103.07309 (2021) - [i28]Wei-Kang Tseng, Angela P. Schoellig, Timothy D. Barfoot:
Self-Calibration of the Offset Between GPS and Semantic Map Frames for Robust Localization. CoRR abs/2105.12182 (2021) - [i27]Keenan Burnett, David J. Yoon, Angela P. Schoellig, Timothy D. Barfoot:
Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning. CoRR abs/2105.14152 (2021) - [i26]Benjamin Congram, Timothy D. Barfoot:
Experimental Comparison of Visual and Single-Receiver GPS Odometry. CoRR abs/2106.02122 (2021) - [i25]Hugues Thomas, Matthieu Gallet de Saint Aurin, Jian Zhang, Timothy D. Barfoot:
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes. CoRR abs/2108.10585 (2021) - [i24]Mona Gridseth, Timothy D. Barfoot:
Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization. CoRR abs/2109.04041 (2021) - [i23]Zi Cong Guo, Vassili Korotkine, James Richard Forbes, Timothy D. Barfoot:
Koopman Linearization for Data-Driven Batch State Estimation of Control-Affine Systems. CoRR abs/2109.07000 (2021) - [i22]Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne:
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR abs/2110.15245 (2021) - 2020
- [j47]Jonathan D. Gammell
, Timothy D. Barfoot, Siddhartha S. Srinivasa:
Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search. Int. J. Robotics Res. 39(5) (2020) - [j46]Timothy D. Barfoot, James Richard Forbes, David J. Yoon:
Exactly sparse Gaussian variational inference with application to derivative-free batch nonlinear state estimation. Int. J. Robotics Res. 39(13) (2020) - [j45]Jeremy N. Wong
, David J. Yoon
, Angela P. Schoellig
, Timothy D. Barfoot
:
A Data-Driven Motion Prior for Continuous-Time Trajectory Estimation on SE(3). IEEE Robotics Autom. Lett. 5(2): 1429-1436 (2020) - [j44]Jeremy N. Wong
, David Juny Yoon
, Angela P. Schoellig
, Timothy D. Barfoot
:
Variational Inference With Parameter Learning Applied to Vehicle Trajectory Estimation. IEEE Robotics Autom. Lett. 5(4): 5291-5298 (2020) - [c87]Ishaan Mehta
, Mingliang Tang, Timothy D. Barfoot:
Gradient-Based Auto-Exposure Control Applied to a Self-Driving Car. CRV 2020: 166-173 - [c86]Mona Gridseth, Timothy D. Barfoot:
DeepMEL: Compiling Visual Multi-Experience Localization into a Deep Neural Network. ICRA 2020: 1674-1681 - [c85]Bhavit Patel, Timothy D. Barfoot, Angela P. Schoellig:
Visual Localization with Google Earth Images for Robust Global Pose Estimation of UAVs. ICRA 2020: 6491-6497 - [i21]Timothy D. Barfoot:
Multivariate Gaussian Variational Inference by Natural Gradient Descent. CoRR abs/2001.10025 (2020) - [i20]Mona Gridseth, Timothy D. Barfoot:
DeepMEL: Compiling Visual Multi-Experience Localization into a Deep Neural Network. CoRR abs/2003.02946 (2020) - [i19]Jeremy N. Wong, David J. Yoon, Angela P. Schoellig, Timothy D. Barfoot:
Variational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation. CoRR abs/2003.09736 (2020) - [i18]Keenan Burnett, Jingxing Qian, Xintong Du, Linqiao Liu, David J. Yoon, Tianchang Shen, Susan Sun, Sepehr Samavi, Michael J. Sorocky, Mollie Bianchi, Kaicheng Zhang, Arkady Arkhangorodsky, Quinlan Sykora, Shichen Lu, Yizhou Huang, Angela P. Schoellig, Timothy D. Barfoot:
Zeus: A System Description of the Two-Time Winner of the Collegiate SAE AutoDrive Competition. CoRR abs/2004.08752 (2020) - [i17]Timothy D. Barfoot, Gabriele M. T. D'Eleuterio:
Variational Inference as Iterative Projection in a Bayesian Hilbert Space. CoRR abs/2005.07275 (2020) - [i16]Tim D. Barfoot, Jessica Burgner-Kahrs, Eric D. Diller, Animesh Garg, Andrew A. Goldenberg, Jonathan Kelly, Xinyu Liu, Hani E. Naguib, Goldie Nejat, Angela P. Schoellig, Florian Shkurti, Hallie Siegel, Yu Sun
, Steven L. Waslander:
Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors. CoRR abs/2009.08577 (2020) - [i15]Timothy D. Barfoot:
Fundamental Linear Algebra Problem of Gaussian Inference. CoRR abs/2010.08022 (2020) - [i14]Keenan Burnett, Angela P. Schoellig, Timothy D. Barfoot:
Do We Need to Compensate for Motion Distortion and Doppler Effects in Radar-Based Navigation? CoRR abs/2011.03512 (2020) - [i13]Hugues Thomas, Ben Agro, Mona Gridseth, Jian Zhang, Timothy D. Barfoot:
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation. CoRR abs/2012.05897 (2020)
2010 – 2019
- 2019
- [j43]Michael Warren
, Melissa Greeff, <