Jonathan P. How

ORCID

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 306

Top Venues

Publications

Yulun Tian, Jonathan P. How
Spectral Sparsification for Communication-Efficient Collaborative Rotation and Translation Estimation. IEEE Trans. Robotics 40 (2024)
Jouko Kinnari, Annika Thomas, Parker C. Lusk, Kota Kondo, Jonathan P. How
SOS-SLAM: Segmentation for Open-Set SLAM in Unstructured Environments. CoRR (2024)
Kota Kondo, Reinaldo Figueroa, Juan Rached, Jesus Tordesillas, Parker C. Lusk, Jonathan P. How
Robust MADER: Decentralized Multiagent Trajectory Planner Robust to Communication Delay in Dynamic Environments. IEEE Robotics Autom. Lett. 9 (2) (2024)
Parker C. Lusk, Jonathan P. How
CLIPPER: Robust Data Association without an Initial Guess. CoRR (2024)
Tong Zhao, Andrea Tagliabue, Jonathan P. How
Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation. IROS (2023)
Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods. CoRR (2023)
Jesus Tordesillas, Jonathan P. How
Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments. IEEE Robotics Autom. Lett. 8 (3) (2023)
Mason B. Peterson, Parker C. Lusk, Jonathan P. How
MOTLEE: Distributed Mobile Multi-Object Tracking with Localization Error Elimination. CoRR (2023)
Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How
Wide-Area Geolocalization with a Limited Field of View Camera. ICRA (2023)
Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How
Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. IEEE Trans. Robotics 39 (4) (2023)
Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods. ICRA (2023)
Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR (2023)
Macheng Shen, Jonathan P. How
Implicit Ensemble Training for Efficient and Robust Multiagent Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Lakshay Sharma, Michael Everett, Donggun Lee, Xiaoyi Cai, Philip R. Osteen, Jonathan P. How
RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation. ICRA (2023)
Kota Kondo, Claudius T. Tewari, Mason B. Peterson, Annika Thomas, Jouko Kinnari, Andrea Tagliabue, Jonathan P. How
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment. CoRR (2023)
Evelyn Ruff, Rebecca L. Russell, Matthew Stoeckle, Piero Miotto, Jonathan P. How
Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization. CoRR (2023)
Mason B. Peterson, Parker C. Lusk, Jonathan P. How
MOTLEE: Distributed Mobile Multi-Object Tracking with Localization Error Elimination. IROS (2023)
Andrea Tagliabue, Yi-Hsuan Hsiao, Urban Fasel, J. Nathan Kutz, Steven L. Brunton, YuFeng Chen, Jonathan P. How
Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC. ICRA (2023)
Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R. Osteen, Jonathan P. How
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments. IROS (2023)
Parker C. Lusk, Devarth Parikh, Jonathan P. How
GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration. IEEE Robotics Autom. Lett. 8 (2) (2023)
Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. CoRR (2023)
Jacqueline Ankenbauer, Parker C. Lusk, Annika Thomas, Jonathan P. How
Global Localization in Unstructured Environments Using Semantic Object Maps Built from Various Viewpoints. IROS (2023)
Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How
Wide-Area Geolocalization with a Limited Field of View Camera in Challenging Urban Environments. CoRR (2023)
Andrea Tagliabue, Jonathan P. How
Efficient Deep Learning of Robust Policies from MPC using Imitation and Tube-Guided Data Augmentation. CoRR (2023)
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) (2023)
Yulun Tian, Yun Chang, Long Quang, Arthur Schang, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone
Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned. CoRR (2023)
Jesus Tordesillas, Jonathan P. How, Marco Hutter
RAYEN: Imposition of Hard Convex Constraints on Neural Networks. CoRR (2023)
Kota Kondo, Jesus Tordesillas, Reinaldo Figueroa, Juan Rached, Joseph Merkel, Parker C. Lusk, Jonathan P. How
Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay. ICRA (2023)
Jacqueline Ankenbauer, Parker C. Lusk, Jonathan P. How
Global Localization in Unstructured Environments using Semantic Object Maps Built from Various Viewpoints. CoRR (2023)
Andrea Tagliabue, Kota Kondo, Tong Zhao, Mason B. Peterson, Claudius T. Tewari, Jonathan P. How
REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots. CoRR (2023)
Kota Kondo, Reinaldo Figueroa, Juan Rached, Jesus Tordesillas, Parker C. Lusk, Jonathan P. How
Robust MADER: Decentralized Multiagent Trajectory Planner Robust to Communication Delay in Dynamic Environments. CoRR (2023)
Tong Zhao, Andrea Tagliabue, Jonathan P. How
Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation. CoRR (2023)
Andrew Fishberg, Brian Quiter, Jonathan P. How
MURP: Multi-Agent Ultra-Wideband Relative Pose Estimation with Constrained Communications in 3D Environments. CoRR (2023)
Yulun Tian, Yun Chang, Long Quang, Arthur Schang, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone
Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned. IROS (2023)
Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard
Certifiably Correct Range-Aided SLAM. CoRR (2023)
Parker C. Lusk, Kaveh Fathian, Jonathan P. How
MIXER: Multiattribute, Multiway Fusion of Uncertain Pairwise Affinities. IEEE Robotics Autom. Lett. 8 (5) (2023)
Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. ACC (2023)
Andrea Tagliabue, Jonathan P. How
Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs. CoRR (2023)
Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How
Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. CoRR (2023)
Jason J. Choi, Donggun Lee, Boyang Li, Jonathan P. How, Koushil Sreenath, Sylvia L. Herbert, Claire J. Tomlin
A Forward Reachability Perspective on Robust Control Invariance and Discount Factors in Reachability Analysis. CoRR (2023)
Sharan Raja, Golnaz Habibi, Jonathan P. How
Communication-Aware Consensus-Based Decentralized Task Allocation in Communication Constrained Environments. IEEE Access 10 (2022)
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 (2022)
Kota Kondo, Jesus Tordesillas, Reinaldo Figueroa, Juan Rached, Joseph Merkel, Parker C. Lusk, Jonathan P. How
Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay. CoRR (2022)
Miguel Calvo-Fullana, Jonathan P. How
Mission-Aware Value of Information Censoring for Distributed Filtering. CoRR (2022)
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
Influencing Long-Term Behavior in Multiagent Reinforcement Learning. NeurIPS (2022)
Lena M. Downes, Dong-Ki Kim, Ted J. Steiner, Jonathan P. How
City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent. CoRR (2022)
Parker C. Lusk, Jonathan P. How
Global Data Association for SLAM with 3D Grassmannian Manifold Objects. IROS (2022)
Xiaoyi Cai, Michael Everett, Jonathan Fink, Jonathan P. How
Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map. CoRR (2022)
Andrew Fishberg, Jonathan P. How
Multi-Agent Relative Pose Estimation with UWB and Constrained Communications. IROS (2022)
Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. CoRR (2022)
Nicholas Rober, Sydney M. Katz, Chelsea Sidrane, Esen Yel, Michael Everett, Mykel J. Kochenderfer, Jonathan P. How
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems. CoRR (2022)
Andrea Tagliabue, Jonathan P. How
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning. CoRR (2022)
Lena M. Downes, Dong-Ki Kim, Ted J. Steiner, Jonathan P. How
City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent. IROS (2022)
Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. ICRA (2022)
Macheng Shen, Jonathan P. How
Safe adaptation in multiagent competition. CoRR (2022)
Jacqueline Ankenbauer, Kaveh Fathian, Jonathan P. How
View-Invariant Localization using Semantic Objects in Changing Environments. CoRR (2022)
Parker C. Lusk, Kaveh Fathian, Jonathan P. How
MIXER: Multiattribute, Multiway Fusion of Uncertain Pairwise Affinities. CoRR (2022)
Andrea Tagliabue, Yi-Hsuan Hsiao, Urban Fasel, J. Nathan Kutz, Steven L. Brunton, YuFeng Chen, Jonathan P. How
Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC. CoRR (2022)
Jesus Tordesillas, Jonathan P. How
Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments. CoRR (2022)
Miguel Calvo-Fullana, Jonathan P. How
Mission-Aware Value of Information Censoring for Distributed Filtering. CDC (2022)
Jesus Tordesillas, Brett Thomas Lopez, Michael Everett, Jonathan P. How
FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments. IEEE Trans. Robotics 38 (2) (2022)
Yulun Tian, Jonathan P. How
Spectral Sparsification for Communication-Efficient Collaborative Rotation and Translation Estimation. CoRR (2022)
Parker C. Lusk, Devarth Parikh, Jonathan P. How
GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration. CoRR (2022)
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)
Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. ICRA (2022)
Jesus Tordesillas, Jonathan P. How
PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments. IEEE Access 10 (2022)
Yulun Tian, Yun Chang, Fernando Herrera Arias, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone
Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems. IEEE Trans. Robotics 38 (4) (2022)
Miguel Calvo-Fullana, Jonathan P. How
Distributed Filtering with Value of Information Censoring. CoRR (2022)
Miguel Calvo-Fullana, Jonathan P. How
Distributed Filtering with Value of Information Censoring. ACC (2022)
Jesus Tordesillas, Jonathan P. How
MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves. Comput. Aided Des. 151 (2022)
Nicholas Rober, Michael Everett, Jonathan P. How
Backward Reachability Analysis for Neural Feedback Loops. CDC (2022)
Macheng Shen, Jonathan P. How
Safe adaptation in multiagent competition. IROS (2022)
Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How
Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. CoRR (2022)
Nicholas Rober, Michael Everett, Jonathan P. How
Backward Reachability Analysis for Neural Feedback Loops. CoRR (2022)
Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How
Wide-Area Geolocalization with a Limited Field of View Camera. CoRR (2022)
Lakshay Sharma, Michael Everett, Donggun Lee, Xiaoyi Cai, Philip R. Osteen, Jonathan P. How
RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation. CoRR (2022)
Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R. Osteen, Jonathan P. How
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments. CoRR (2022)
Andrea Tagliabue, Jonathan P. How
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning. IROS (2022)
Andrew Fishberg, Jonathan P. How
Multi-Agent Relative Pose Estimation with UWB and Constrained Communications. CoRR (2022)
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
Influencing Long-Term Behavior in Multiagent Reinforcement Learning. CoRR (2022)
Xiaoyi Cai, Michael Everett, Jonathan Fink, Jonathan P. How
Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map. IROS (2022)
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Gerald Tesauro, Jonathan P. How
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria. CoRR (2022)
Jesus Tordesillas, Jonathan P. How
MADER: Trajectory Planner in Multiagent and Dynamic Environments. IEEE Trans. Robotics 38 (1) (2022)
Parker C. Lusk, Jonathan P. How
Global Data Association for SLAM with 3D Grassmannian Manifold Objects. CoRR (2022)
Michael Everett, Björn Lütjens, Jonathan P. How
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How
Context-Specific Representation Abstraction for Deep Option Learning. AAAI (2022)
Yulun Tian, Kasra Khosoussi, David M. Rosen, Jonathan P. How
Distributed Certifiably Correct Pose-Graph Optimization. IEEE Trans. Robotics 37 (6) (2021)
Yulun Tian, Yun Chang, Fernando Herrera Arias, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone
Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems. CoRR (2021)
Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How
Reachability Analysis of Neural Feedback Loops. IEEE Access 9 (2021)
Yun Chang, Yulun Tian, Jonathan P. How, Luca Carlone
Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping. ICRA (2021)
Michael Everett, Golnaz Habibi, Jonathan P. How
Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems. ACC (2021)
Bruno Brito, Michael Everett, Jonathan P. How, Javier Alonso-Mora
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians. CoRR (2021)
Michael Everett, Golnaz Habibi, Jonathan P. How
Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. CoRR (2021)
Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. CoRR (2021)
Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai, Angel Santamaria-Navarro, Jonathan P. How, Luca Carlone, Ali-akbar Agha-mohammadi
LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments. CoRR (2021)
Michael Everett, Golnaz Habibi, Jonathan P. How
Robustness Analysis of Neural Networks via Efficient Partitioning With Applications in Control Systems. IEEE Control. Syst. Lett. 5 (6) (2021)
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. ICML (2021)
Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How
Reachability Analysis of Neural Feedback Loops. CoRR (2021)
Parker C. Lusk, Kaveh Fathian, Jonathan P. How
CLIPPER: A Graph-Theoretic Framework for Robust Data Association. ICRA (2021)
Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jonathan P. How