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ORCIDDavid M. Rosen
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2020 – today
- 2024
[j8]Alan Papalia
, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard:
Certifiably Correct Range-Aided SLAM. IEEE Trans. Robotics 40: 4265-4283 (2024)- [c15]Pushyami Kaveti, Matthew Giamou, Hanumant Singh, David M. Rosen:
OASIS: Optimal Arrangements for Sensing in SLAM. ICRA 2024: 13818-13824 - [i17]Kevin J. Doherty, Alan Papalia, Yewei Huang, David M. Rosen, Brendan J. Englot, John J. Leonard:
MAC: Maximizing Algebraic Connectivity for Graph Sparsification. CoRR abs/2403.19879 (2024) - [i16]Alan Papalia, Yulun Tian, David M. Rosen, Jonathan P. How, John J. Leonard:
An Overview of the Burer-Monteiro Method for Certifiable Robot Perception. CoRR abs/2410.00117 (2024) - 2023
- [j7]Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard:
Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. IEEE Trans. Robotics 39(2): 1458-1475 (2023) - [c14]Alan Papalia, Joseph Morales, Kevin J. Doherty, David M. Rosen, John J. Leonard:
SCORE: A Second-Order Conic Initialization for Range-Aided SLAM. ICRA 2023: 10637-10644 - [i15]Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard:
Certifiably Correct Range-Aided SLAM. CoRR abs/2302.11614 (2023) - [i14]Pushyami Kaveti, Matthew Giamou, Hanumant Singh, David M. Rosen:
OASIS: Optimal Arrangements for Sensing in SLAM. CoRR abs/2309.10698 (2023) - 2022
- [j6]Matthew Giamou, Filip Maric, David M. Rosen, Valentin Peretroukhin, Nicholas Roy, Ivan Petrovic, Jonathan Kelly:
Convex Iteration for Distance-Geometric Inverse Kinematics. IEEE Robotics Autom. Lett. 7(2): 1952-1959 (2022) - [j5]David M. Rosen:
Accelerating Certifiable Estimation with Preconditioned Eigensolvers. IEEE Robotics Autom. Lett. 7(4): 12507-12514 (2022) - [c13]Kevin J. Doherty, David M. Rosen, John J. Leonard:
Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM. ICRA 2022: 5608-5614 - [c12]Kevin J. Doherty, David M. Rosen, John J. Leonard:
Spectral Measurement Sparsification for Pose-Graph SLAM. IROS 2022: 1-8 - [c11]Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How:
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. IROS 2022: 4391-4398 - [i13]Kevin J. Doherty, David M. Rosen, John J. Leonard:
Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM. CoRR abs/2201.03773 (2022) - [i12]Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How:
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. CoRR abs/2203.00851 (2022) - [i11]Kevin J. Doherty, David M. Rosen, John J. Leonard:
Spectral Measurement Sparsification for Pose-Graph SLAM. CoRR abs/2203.13897 (2022) - [i10]David M. Rosen:
Accelerating Certifiable Estimation with Preconditioned Eigensolvers. CoRR abs/2207.05257 (2022) - [i9]Alan Papalia, Joseph Morales, Kevin J. Doherty, David M. Rosen, John J. Leonard:
SCORE: A Second-Order Conic Initialization for Range-Aided SLAM. CoRR abs/2210.03177 (2022) - 2021
- [j4]David M. Rosen, Kevin J. Doherty, Antonio Terán Espinoza, John J. Leonard:
Advances in Inference and Representation for Simultaneous Localization and Mapping. Annu. Rev. Control. Robotics Auton. Syst. 4: 215-242 (2021) - [j3]Yulun Tian, Kasra Khosoussi, David M. Rosen, Jonathan P. How:
Distributed Certifiably Correct Pose-Graph Optimization. IEEE Trans. Robotics 37(6): 2137-2156 (2021) - [c10]David M. Rosen:
Scalable Low-Rank Semidefinite Programming for Certifiably Correct Machine Perception. WAFR 2021: 551-566 - [i8]David M. Rosen, Kevin J. Doherty, Antonio Terán Espinoza, John J. Leonard:
Advances in Inference and Representation for Simultaneous Localization and Mapping. CoRR abs/2103.05041 (2021) - [i7]Matthew Giamou, Filip Maric, David M. Rosen, Valentin Peretroukhin, Nicholas Roy, Ivan Petrovic, Jonathan Kelly:
Convex Iteration for Distance-Geometric Inverse Kinematics. CoRR abs/2109.03374 (2021) - [i6]Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard:
Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. CoRR abs/2110.00876 (2021) - 2020
- [c9]Frank Dellaert, David M. Rosen, Jing Wu, Robert E. Mahony, Luca Carlone:
Shonan Rotation Averaging: Global Optimality by Surfing SO(p)n. ECCV (6) 2020: 292-308 - [c8]Valentin Peretroukhin, Matthew Giamou, W. Nicholas Greene, David M. Rosen, Jonathan Kelly, Nicholas Roy:
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty. Robotics: Science and Systems 2020 - [i5]Valentin Peretroukhin, Matthew Giamou, David M. Rosen, W. Nicholas Greene, Nicholas Roy, Jonathan Kelly:
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty. CoRR abs/2006.01031 (2020) - [i4]Frank Dellaert, David M. Rosen, Jing Wu, Robert E. Mahony, Luca Carlone:
Shonan Rotation Averaging: Global Optimality by Surfing SO(p)n. CoRR abs/2008.02737 (2020)
2010 – 2019
- 2019
- [j2]David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard:
SE-Sync: A certifiably correct algorithm for synchronization over the special Euclidean group. Int. J. Robotics Res. 38(2-3) (2019) - 2016
- [c7]David M. Rosen, Julian Mason, John J. Leonard:
Towards lifelong feature-based mapping in semi-static environments. ICRA 2016: 1063-1070 - [c6]David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard:
A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. WAFR 2016: 64-79 - [i3]David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard:
A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. CoRR abs/1611.00128 (2016) - [i2]David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard:
SE-Sync: A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. CoRR abs/1612.07386 (2016) - 2015
- [c5]David M. Rosen, Charles DuHadway, John J. Leonard:
A convex relaxation for approximate global optimization in simultaneous localization and mapping. ICRA 2015: 5822-5829 - [c4]Luca Carlone, David M. Rosen, Giuseppe Carlo Calafiore, John J. Leonard, Frank Dellaert:
Lagrangian duality in 3D SLAM: Verification techniques and optimal solutions. IROS 2015: 125-132 - [i1]Luca Carlone, David M. Rosen, Giuseppe Carlo Calafiore, John J. Leonard, Frank Dellaert:
Lagrangian Duality in 3D SLAM: Verification Techniques and Optimal Solutions. CoRR abs/1506.00746 (2015) - 2014
- [j1]David M. Rosen, Michael Kaess, John J. Leonard:
RISE: An Incremental Trust-Region Method for Robust Online Sparse Least-Squares Estimation. IEEE Trans. Robotics 30(5): 1091-1108 (2014) - [c3]David M. Rosen, Guoquan Huang, John J. Leonard:
Inference over heterogeneous finite-/infinite-dimensional systems using factor graphs and Gaussian processes. ICRA 2014: 1261-1268 - 2013
- [c2]David M. Rosen, Michael Kaess, John J. Leonard:
Robust incremental online inference over sparse factor graphs: Beyond the Gaussian case. ICRA 2013: 1025-1032 - 2012
- [c1]David M. Rosen, Michael Kaess, John J. Leonard:
An incremental trust-region method for Robust online sparse least-squares estimation. ICRA 2012: 1262-1269
Coauthor Index
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