Path planning for multiple Unmanned Aerial Vehicles using genetic algorithms. - Howard Li; Yi Fu; Khalid Elgazzar; Liam Paull (CCECE, 2009)

Awater heater model for increased power system efficiency. - Liam Paull; Derek MacKay; Howard Li; Liuchen Chang (CCECE, 2009)

An information gain based adaptive path planning method for an autonomous underwater vehicle using sidescan sonar. - Liam Paull; Sajad Saeedi G.; Howard Li; Vincent Myers (CASE, 2010)

Document Classification Using Information Theory And A Fast Back-Propagation Neural Network. - Howard Li; Liam Paull; Yevgen Biletskiy; Simon X. Yang (Intell. Autom. Soft Comput., 2010)

A Multi-agent Framework with MOOS-IvP for Autonomous Underwater Vehicles with Sidescan Sonar Sensors. - Liam Paull; Sajad Saeedi G.; Mae L. Seto; Howard Li (AIS, 2011)

Multiple robot simultaneous localization and mapping. - Sajad Saeedi G.; Liam Paull; Michael Trentini; Howard Li (IROS, 2011)

Neural Network-Based Multiple Robot Simultaneous Localization and Mapping. - Sajad Saeedi G.; Liam Paull; Michael Trentini; Howard Li (IEEE Trans. Neural Networks, 2011)

Efficient map merging using a probabilistic generalized Voronoi diagram. - Sajad Saeedi G.; Liam Paull; Michael Trentini; Mae L. Seto; Howard Li (IROS, 2012)

Map merging using hough peak matching. - Sajad Saeedi G.; Liam Paull; Michael Trentini; Mae L. Seto; Howard Li (IROS, 2012)

Sensor driven online coverage planning for autonomous underwater vehicles. - Liam Paull; Sajad Saeedi Gharahbolagh; Mae L. Seto; Howard Li (IROS, 2012)

Towards an Ontology for Autonomous Robots. - Liam Paull; Gaëtan Séverac; Guilherme V. Raffo; Julian Mauricio Angel; Harold Boley; Phillip J. Durst; Wendell Gray; Maki K. Habib; Bao Nguyen; S. Veera Ragavan; Sajad Saeedi G.; Ricardo Sanz; et al. (IROS, 2012)

Area coverage planning that accounts for pose uncertainty with an AUV seabed surveying application. - Liam Paull; Mae L. Seto; Howard Li (ICRA, 2014)

Decentralized cooperative trajectory estimation for autonomous underwater vehicles. - Liam Paull; Mae L. Seto; John J. Leonard (IROS, 2014)

Group Mapping: A Topological Approach to Map Merging for Multiple Robots. - Sajad Saeedi G.; Liam Paull; Michael Trentini; Mae L. Seto; Howard Li (IEEE Robotics Autom. Mag., 2014)

Map merging for multiple robots using Hough peak matching. - Sajad Saeedi G.; Liam Paull; Michael Trentini; Mae L. Seto; Howard Li (Robotics Auton. Syst., 2014)

Sensor-Driven Area Coverage for an Autonomous Fixed-Wing Unmanned Aerial Vehicle. - Liam Paull; Carl Thibault; Amr Nagaty; Mae L. Seto; Howard Li (IEEE Trans. Cybern., 2014)

An Overview of MIT-Olin's Approach in the AUVSI RobotX Competition. - Arthur Anderson; Erin M. Fischell; Thom Howe; Tom Miller; Arturo Parrales-Salinas; Nick Rypkema; David Barrett 002; Michael Benjamin; Alex Brennen; Michael DeFillipo; John J. Leonard; Liam Paull; et al. (FSR, 2015)

Communication-constrained multi-AUV cooperative SLAM. - Liam Paull; Guoquan Huang 001; Mae L. Seto; John J. Leonard (ICRA, 2015)

Bridging text spotting and SLAM with junction features. - Hsueh-Cheng Wang; Chelsea Finn; Liam Paull; Michael Kaess; Ruth Rosenholtz; Seth J. Teller; John J. Leonard (IROS, 2015)

Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation. - Beipeng Mu; Ali-akbar Agha-mohammadi; Liam Paull; Matthew C. Graham; Jonathan P. How; John J. Leonard (Robotics: Science and Systems, 2015)

Information-based Active SLAM via Topological Feature Graphs. - Beipeng Mu; Liam Paull; Ali-akbar Agha-mohammadi; John J. Leonard; Jonathan P. How (CoRR, 2015)

Occupancy Grid Map Merging for Multiple robot simultaneous Localization and Mapping. - Sajad Saeedi G.; Liam Paull; Michael Trentini; Howard Li (Int. J. Robotics Autom., 2015)

Information-based Active SLAM via topological feature graphs. - Beipeng Mu; Matthew Giamou; Liam Paull; Ali-akbar Agha-mohammadi; John J. Leonard; Jonathan P. How (CDC, 2016)

Duckietown: An Innovative Way to Teach Autonomy. - Jacopo Tani; Liam Paull; Maria T. Zuber; Daniela Rus; Jonathan P. How; John J. Leonard; Andrea Censi (EDUROBOTICS, 2016)

A unified resource-constrained framework for graph SLAM. - Liam Paull; Guoquan Huang 001; John J. Leonard (ICRA, 2016)

Decoupled, consistent node removal and edge sparsification for graph-based SLAM. - Kevin Eckenhoff; Liam Paull; Guoquan Huang 001 (IROS, 2016)

SLAM with objects using a nonparametric pose graph. - Beipeng Mu; Shih-Yuan Liu; Liam Paull; John J. Leonard; Jonathan P. How (IROS, 2016)

Requirements for building an ontology for autonomous robots. - Behzad Bayat; Julita Bermejo-Alonso; Joel Luis Carbonera; Tullio Facchinetti; Sandro Rama Fiorini; Paulo Jorge Sequeira Gonçalves; Vitor A. M. Jorge; Maki K. Habib; Alaa M. Khamis; Kamilo Melo; Bao Nguyen; Joanna Isabelle Olszewska; et al. (Ind. Robot, 2016)

Duckietown: An open, inexpensive and flexible platform for autonomy education and research. - Liam Paull; Jacopo Tani; Heejin Ahn; Javier Alonso-Mora; Luca Carlone; Michal Cáp; Yu Fan Chen; Changhyun Choi; Jeff Dusek; Yajun Fang; Daniel Hoehener; Shih-Yuan Liu; et al. (ICRA, 2017)

Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention. - Wilko Schwarting; Javier Alonso-Mora; Liam Paull; Sertac Karaman; Daniela Rus (ICRA, 2017)

Hybrid control and learning with coresets for autonomous vehicles. - Guy Rosman; Liam Paull; Daniela Rus (IROS, 2017)

A parallel autonomy research platform. - Felix Naser; David L. Dorhout; Stephen Proulx; Scott Drew Pendleton; Hans Andersen; Wilko Schwarting; Liam Paull; Javier Alonso-Mora; Marcelo H. Ang; Sertac Karaman; Russ Tedrake; John J. Leonard; et al. (Intelligent Vehicles Symposium, 2017)

Two-Stage Focused Inference for Resource-Constrained Minimal Collision Navigation. - Beipeng Mu; Liam Paull; Ali-Akbar Agha-Mohammadi; John J. Leonard; Jonathan P. How (IEEE Trans. Robotics, 2017)

Geometric Consistency for Self-Supervised End-to-End Visual Odometry. - Ganesh Iyer; J. Krishna Murthy 001; Gunshi Gupta; K. Madhava Krishna; Liam Paull (CVPR Workshops, 2018)

Learning Steering Bounds for Parallel Autonomous Systems. - Alexander Amini; Liam Paull; Thomas Balch; Sertac Karaman; Daniela Rus (ICRA, 2018)

Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps. - Teddy Ort; Liam Paull; Daniela Rus (ICRA, 2018)

Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping. - Liam Paull; Mae L. Seto; John J. Leonard; Howard Li (Int. J. Robotics Res., 2018)

Local Positioning System Using UWB Range Measurements for an Unmanned Blimp. - Vincent Mai; Mina Kamel; Matthias Krebs; Andreas Schaffner; Daniel Meier; Liam Paull; Roland Siegwart (IEEE Robotics Autom. Lett., 2018)

Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model. - Wilko Schwarting; Javier Alonso-Mora; Liam Paull; Sertac Karaman; Daniela Rus (IEEE Trans. Intell. Transp. Syst., 2018)

Active Domain Randomization. - Bhairav Mehta; Manfred Diaz; Florian Golemo; Christopher J. Pal; Liam Paull (CoRL, 2019)

A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. - Homanga Bharadhwaj; Zihan Wang; Yoshua Bengio; Liam Paull (ICRA, 2019)

Deep Active Localization. - Sai Krishna; Keehong Seo; Dhaivat Bhatt; Vincent Mai; J. Krishna Murthy 001; Liam Paull (CoRR, 2019)

The AI Driving Olympics at NeurIPS 2018. - Julian G. Zilly; Jacopo Tani; Breandan Considine; Bhairav Mehta; Andrea F. Daniele; Manfred Diaz; Gianmarco Bernasconi; Claudio Ruch; Jan Hakenberg; Florian Golemo; A. Kirsten Bowser; Matthew R. Walter; et al. (CoRR, 2019)

gradSLAM: Dense SLAM meets Automatic Differentiation. - Krishna Murthy Jatavallabhula; Ganesh Iyer; Liam Paull (CoRR, 2019)

Deep Active Localization. - Sai Krishna Gottipati; Keehong Seo; Dhaivat Bhatt; Vincent Mai; Krishna Murthy 001; Liam Paull (IEEE Robotics Autom. Lett., 2019)

Perceptual Generative Autoencoders. - Zijun Zhang; Ruixiang Zhang; Zongpeng Li; Yoshua Bengio; Liam Paull (ICML, 2020)

∇SLAM: Dense SLAM meets Automatic Differentiation. - Krishna Murthy Jatavallabhula; Ganesh Iyer; Liam Paull (ICRA, 2020)

Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. - Jacopo Tani; Andrea F. Daniele; Gianmarco Bernasconi; Amaury Camus; Aleksandar Petrov; Anthony Courchesne; Bhairav Mehta; Rohit Suri; Tomasz Zaluska; Matthew R. Walter; Emilio Frazzoli; Liam Paull; et al. (IROS, 2020)

Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling. - Tong Che; Ruixiang Zhang; Jascha Sohl-Dickstein; Hugo Larochelle; Liam Paull; Yuan Cao; Yoshua Bengio (NeurIPS, 2020)

Look-ahead Meta Learning for Continual Learning. - Gunshi Gupta; Karmesh Yadav; Liam Paull (NeurIPS, 2020)

Generating Automatic Curricula via Self-Supervised Active Domain Randomization. - Sharath Chandra Raparthy; Bhairav Mehta; Florian Golemo; Liam Paull (CoRR, 2020)

Curriculum in Gradient-Based Meta-Reinforcement Learning. - Bhairav Mehta; Tristan Deleu; Sharath Chandra Raparthy; Christopher J. Pal; Liam Paull (CoRR, 2020)

La-MAML: Look-ahead Meta Learning for Continual Learning. - Gunshi Gupta; Karmesh Yadav; Liam Paull (CoRR, 2020)

MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map. - Teddy Ort; Krishna Murthy 001; Rohan Banerjee; Sai Krishna Gottipati; Dhaivat Bhatt; Igor Gilitschenski; Liam Paull; Daniela Rus (IEEE Robotics Autom. Lett., 2020)

Taskography: Evaluating robot task planning over large 3D scene graphs. - Christopher Agia; Krishna Murthy Jatavallabhula; Mohamed Khodeir; Ondrej Miksik; Vibhav Vineet; Mustafa Mukadam; Liam Paull; Florian Shkurti (CoRL, 2021)

Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning. - Manfred Diaz; Thomas Fevens; Liam Paull (CRV, 2021)

Deep Koopman Representation for Control over Images (DKRCI). - Philippe Laferrière; Samuel Laferrière; Steven Dahdah; James Richard Forbes; Liam Paull (CRV, 2021)

Orthogonal Over-Parameterized Training. - Weiyang Liu; Rongmei Lin; Zhen Liu 019; James M. Rehg; Liam Paull; Li Xiong 001; Le Song; Adrian Weller (CVPR, 2021)

gradSim: Differentiable simulation for system identification and visuomotor control. - J. Krishna Murthy 001; Miles Macklin; Florian Golemo; Vikram Voleti; Linda Petrini; Martin Weiss; Breandan Considine; Jérôme Parent-Lévesque; Kevin Xie; Kenny Erleben; Liam Paull; Florian Shkurti; et al. (ICLR, 2021)

On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents. - Anthony Courchesne; Andrea Censi; Liam Paull (IROS, 2021)

Iterative Teaching by Label Synthesis. - Weiyang Liu; Zhen Liu 019; Hanchen Wang 002; Liam Paull; Bernhard Schölkopf; Adrian Weller (NeurIPS, 2021)

Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. - Amir Rasouli; Soheil Alizadeh; Iuliia Kotseruba; Yi Ma; Hebin Liang; Yuan Tian; Zhiyu Huang; Haochen Liu; Jingda Wu; Randy Goebel; Tianpei Yang; Matthew E. Taylor; et al. (NeurIPS (Competition and Demos), 2021)

Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression. - Vincent Mai; Waleed Khamies; Liam Paull (CoRR, 2021)

$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception. - Dhaivat Bhatt; Kaustubh Mani; Dishank Bansal; Krishna Murthy Jatavallabhula; Hanju Lee; Liam Paull (CoRR, 2021)

Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers. - Miguel A. Saavedra-Ruiz; Sacha Morin; Liam Paull (CRV, 2022)

Structural Causal 3D Reconstruction. - Weiyang Liu; Zhen Liu 019; Liam Paull; Adrian Weller; Bernhard Schölkopf (ECCV (1), 2022)

Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation. - Vincent Mai; Kaustubh Mani; Liam Paull (ICLR, 2022)

f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression. - Dhaivat Bhatt; Kaustubh Mani; Dishank Bansal; Krishna Murthy Jatavallabhula; Hanju Lee; Liam Paull (ICRA, 2022)

NeurIPS 2022 Competition: Driving SMARTS. - Amir Rasouli; Randy Goebel; Matthew E. Taylor; Iuliia Kotseruba; Soheil Alizadeh; Tianpei Yang; Montgomery Alban; Florian Shkurti; Yuzheng Zhuang; Adam Scibior; Kasra Rezaee; Animesh Garg; et al. (CoRR, 2022)

Lifelong Topological Visual Navigation. - Rey Reza Wiyatno; Anqi Xu 003; Liam Paull (IEEE Robotics Autom. Lett., 2022)

Estimating Regression Predictive Distributions with Sample Networks. - Ali Harakeh; Jordan Sir Kwang Hu; Naiqing Guan; Steven L. Waslander; Liam Paull (AAAI, 2023)

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. - Anas Mahmoud 002; Jordan S. K. Hu; Tianshu Kuai; Ali Harakeh; Liam Paull; Steven L. Waslander (CVPR, 2023)

MeshDiffusion: Score-based Generative 3D Mesh Modeling. - Zhen Liu 019; Yao Feng 001; Michael J. Black; Derek Nowrouzezahrai; Liam Paull; Weiyang Liu (ICLR, 2023)

Robust and Controllable Object-Centric Learning through Energy-based Models. - Ruixiang Zhang; Tong Che; Boris Ivanovic; Renhao Wang; Marco Pavone 001; Yoshua Bengio; Liam Paull (ICLR, 2023)

One-4-All: Neural Potential Fields for Embodied Navigation. - Sacha Morin; Miguel A. Saavedra-Ruiz; Liam Paull (IROS, 2023)

ConceptFusion: Open-set multimodal 3D mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Ganesh Iyer; Soroush Saryazdi; Tao Chen 046; Alaa Maalouf; Shuang Li 013; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; et al. (Robotics: Science and Systems, 2023)

ConceptFusion: Open-set Multimodal 3D Mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Tao Chen 046; Shuang Li 013; Ganesh Iyer; Soroush Saryazdi; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; Celso Miguel de Melo; et al. (CoRR, 2023)

GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds. - Mostafa ElAraby; Sabyasachi Sahoo; Yann Pequignot; Paul Novello; Liam Paull (CoRR, 2023)

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning. - Luke Rowe; Roger Girgis; Anthony Gosselin; Bruno Carrez; Florian Golemo; Felix Heide; Liam Paull; Christopher Pal (CoRL, 2024)

Ghost on the Shell: An Expressive Representation of General 3D Shapes. - Zhen Liu 019; Yao Feng 001; Yuliang Xiu; Weiyang Liu; Liam Paull; Michael J. Black; Bernhard Schölkopf (ICLR, 2024)

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. - Qiao Gu; Ali Kuwajerwala; Sacha Morin; Krishna Murthy Jatavallabhula; Bipasha Sen; Aditya Agarwal; Corban Rivera; William Paul; Kirsty Ellis; Rama Chellappa; Chuang Gan 001; Celso Miguel de Melo; et al. (ICRA, 2024)

BACS: Background Aware Continual Semantic Segmentation. - Mostafa ElAraby; Ali Harakeh; Liam Paull (CoRR, 2024)

A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms. - Armin Mokhtarian; Jianye Xu; Patrick Scheffe; Maximilian Kloock; Simon Schäfer; Heeseung Bang; Viet-Anh Le; Sangeet Sankaramangalam Ulhas; Johannes Betz; Sean Wilson; Spring Berman; Liam Paull; et al. (CoRR, 2024)

The Bare Necessities: Designing Simple, Effective Open-Vocabulary Scene Graphs. - Christina Kassab; Matías Mattamala; Sacha Morin; Martin Büchner; Abhinav Valada; Liam Paull; Maurice F. Fallon (CoRR, 2024)

Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience. - Manfred Diaz; Liam Paull; Andrea Tacchetti (Trans. Mach. Learn. Res., 2024)

Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads. - Vincent Mai; Philippe Maisonneuve; Tianyu Zhang; Hadi Nekoei; Liam Paull; Antoine Lesage-Landry (Mach. Learn., 2024)

Multi-agent reinforcement learning for fast-timescale demand response of residential loads. - Vincent Mai; Philippe Maisonneuve; Tianyu Zhang; Hadi Nekoei; Liam Paull; Antoine Lesage-Landry (Mach. Learn., 2024)

Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments. - Luke Rowe; Roger Girgis; Anthony Gosselin; Liam Paull; Christopher Pal; Felix Heide (CVPR, 2025)

Safety Representations for Safer Policy Learning. - Kaustubh Mani; Vincent Mai; Charlie Gauthier; Annie S. Chen; Samer B. Nashed; Liam Paull (ICLR, 2025)

The Harmonic Exponential Filter for Nonparametric Estimation on Motion Groups. - Miguel A. Saavedra-Ruiz; Steven A. Parkison; Ria Arora; James Richard Forbes; Liam Paull (IEEE Robotics Autom. Lett., 2025)

OpenLex3D: A New Evaluation Benchmark for Open-Vocabulary 3D Scene Representations. - Christina Kassab; Sacha Morin; Martin Büchner; Matías Mattamala; Kumaraditya Gupta; Abhinav Valada; Liam Paull; Maurice F. Fallon (CoRR, 2025)

Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes. - Anthony Gosselin; Ge Ya Luo; Luis Lara; Florian Golemo; Derek Nowrouzezahrai; Liam Paull; Alexia Jolicoeur-Martineau; Christopher Pal (CoRR, 2025)

Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving. - Luke Rowe; Rodrigue de Schaetzen; Roger Girgis; Christopher Pal; Liam Paull (CoRR, 2025)

Perpetua: Multi-Hypothesis Persistence Modeling for Semi-Static Environments. - Miguel A. Saavedra-Ruiz; Samer B. Nashed; Charlie Gauthier; Liam Paull (CoRR, 2025)