Liam Paull

131 papers A* 25A 16B 1Misc 3Journal 70Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Constrained Group Relative Policy Optimization.
CoRR
Roger Girgis, Rodrigue de Schaetzen, Luke Rowe, Azalée Robitaille, Christopher Pal, Liam Paull
2025 J jnl
A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: A Guide for Creating a New Testbed [Survey].
IEEE Robotics Autom. Mag.
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, Amanda Prorok, Bassam Alrifaee
2025 J jnl
Agentic Scene Policies: Unifying Space, Semantics, and Affordances for Robot Action.
CoRR
Sacha Morin, Kumaraditya Gupta, Mahtab Sandhu, Charlie Gauthier, Francesco Argenziano, Kirsty Ellis, Liam Paull
2025 J jnl
Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes.
CoRR
Anthony Gosselin, Ge Ya Luo, Luis Lara, Florian Golemo, Derek Nowrouzezahrai, Liam Paull, Alexia Jolicoeur-Martineau, Christopher Pal
2025 J jnl
Dynamic Objects Relocalization in Changing Environments with Flow Matching.
CoRR
Francesco Argenziano, Miguel A. Saavedra-Ruiz, Sacha Morin, Daniele Nardi, Liam Paull
2025 J jnl
GROOD: GRadient-Aware Out-of-Distribution Detection.
Trans. Mach. Learn. Res.
Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull
2025 J jnl
OpenLex3D: A New Evaluation Benchmark for Open-Vocabulary 3D Scene Representations.
CoRR
Christina Kassab, Sacha Morin, Martin Büchner, Matías Mattamala, Kumaraditya Gupta, Abhinav Valada, Liam Paull, Maurice F. Fallon
2025 A conf
Perpetua: Multi-Hypothesis Persistence Modeling for Semi-Static Environments.
IROS
Miguel A. Saavedra-Ruiz, Samer B. Nashed, Charlie Gauthier, Liam Paull
2025 J jnl
Perpetua: Multi-Hypothesis Persistence Modeling for Semi-Static Environments.
CoRR
Miguel A. Saavedra-Ruiz, Samer B. Nashed, Charlie Gauthier, Liam Paull
2025 J jnl
Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving.
CoRR
Luke Rowe, Rodrigue de Schaetzen, Roger Girgis, Christopher Pal, Liam Paull
2025 A* conf
Safety Representations for Safer Policy Learning.
ICLR
Kaustubh Mani, Vincent Mai, Charlie Gauthier, Annie S. Chen, Samer B. Nashed, Liam Paull
2025 J jnl
Safety Representations for Safer Policy Learning.
CoRR
Kaustubh Mani, Vincent Mai, Charlie Gauthier, Annie S. Chen, Samer B. Nashed, Liam Paull
2025 A* conf
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments.
CVPR
Luke Rowe, Roger Girgis, Anthony Gosselin, Liam Paull, Christopher Pal, Felix Heide
2025 J jnl
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments.
CoRR
Luke Rowe, Roger Girgis, Anthony Gosselin, Liam Paull, Christopher Pal, Felix Heide
2025 J jnl
The Harmonic Exponential Filter for Nonparametric Estimation on Motion Groups.
IEEE Robotics Autom. Lett.
Miguel A. Saavedra-Ruiz, Steven A. Parkison, Ria Arora, James Richard Forbes, Liam Paull
2024 J jnl
A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms.
CoRR
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, Amanda Prorok, Bassam Alrifaee
2024 J jnl
BACS: Background Aware Continual Semantic Segmentation.
CoRR
Mostafa ElAraby, Ali Harakeh, Liam Paull
2024 A* conf
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning.
ICRA
Qiao Gu, Ali Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull
2024 J jnl
Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads.
Mach. Learn.
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry
2024 Misc conf
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning.
CoRL
Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal
2024 J jnl
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning.
CoRR
Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal
2024 A* conf
Ghost on the Shell: An Expressive Representation of General 3D Shapes.
ICLR
Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf
2024 J jnl
Multi-agent reinforcement learning for fast-timescale demand response of residential loads.
Mach. Learn.
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry
2024 J jnl
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience.
CoRR
Manfred Diaz, Liam Paull, Andrea Tacchetti
2024 J jnl
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience.
Trans. Mach. Learn. Res.
Manfred Diaz, Liam Paull, Andrea Tacchetti
2024 J jnl
The Bare Necessities: Designing Simple, Effective Open-Vocabulary Scene Graphs.
CoRR
Christina Kassab, Matías Mattamala, Sacha Morin, Martin Büchner, Abhinav Valada, Liam Paull, Maurice F. Fallon
2024 J jnl
The Harmonic Exponential Filter for Nonparametric Estimation on Motion Groups.
CoRR
Miguel A. Saavedra-Ruiz, Steven A. Parkison, Ria Arora, James Richard Forbes, Liam Paull
2023 J jnl
ConceptFusion: Open-set Multimodal 3D Mapping.
CoRR
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba
2023 — conf
ConceptFusion: Open-set multimodal 3D mapping.
Robotics: Science and Systems
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba
2023 J jnl
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning.
CoRR
Qiao Gu, Alihusein Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull
2023 A* conf
Estimating Regression Predictive Distributions with Sample Networks.
AAAI
Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
2023 J jnl
GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds.
CoRR
Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull
2023 J jnl
Ghost on the Shell: An Expressive Representation of General 3D Shapes.
CoRR
Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf
2023 A* conf
MeshDiffusion: Score-based Generative 3D Mesh Modeling.
ICLR
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
2023 J jnl
MeshDiffusion: Score-based Generative 3D Mesh Modeling.
CoRR
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
2023 A conf
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads.
AAMAS
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry
2023 J jnl
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads.
CoRR
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry
2023 A conf
One-4-All: Neural Potential Fields for Embodied Navigation.
IROS
Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull
2023 J jnl
One-4-All: Neural Potential Fields for Embodied Navigation.
CoRR
Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull
2023 A* conf
Robust and Controllable Object-Centric Learning through Energy-based Models.
ICLR
Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
2023 A* conf
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss.
CVPR
Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander
2023 J jnl
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss.
CoRR
Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander
2022 J jnl
Estimating Regression Predictive Distributions with Sample Networks.
CoRR
Ali Harakeh, Jordan S. K. Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
2022 J jnl
Lifelong Topological Visual Navigation.
IEEE Robotics Autom. Lett.
Rey Reza Wiyatno, Anqi Xu, Liam Paull
2022 — conf
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers.
CRV
Miguel A. Saavedra-Ruiz, Sacha Morin, Liam Paull
2022 J jnl
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers.
CoRR
Miguel A. Saavedra-Ruiz, Sacha Morin, Liam Paull
2022 J jnl
NeurIPS 2022 Competition: Driving SMARTS.
CoRR
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, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen
2022 J jnl
Robust and Controllable Object-Centric Learning through Energy-based Models.
CoRR
Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
2022 A* conf
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation.
ICLR
Vincent Mai, Kaustubh Mani, Liam Paull
2022 J jnl
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation.
CoRR
Vincent Mai, Kaustubh Mani, Liam Paull
2022 — conf
Structural Causal 3D Reconstruction.
ECCV (1)
Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf
2022 J jnl
Structural Causal 3D Reconstruction.
CoRR
Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf
2022 J jnl
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs.
CoRR
Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti
2022 A* conf
f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression.
ICRA
Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull
2021 J jnl
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception.
CoRR
Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull
2021 J jnl
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression.
CoRR
Vincent Mai, Waleed Khamies, Liam Paull
2021 — conf
Deep Koopman Representation for Control over Images (DKRCI).
CRV
Philippe Laferrière, Samuel Laferrière, Steven Dahdah, James Richard Forbes, Liam Paull
2021 — conf
Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome.
NeurIPS (Competition and Demos)
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, Liam Paull, Xi Chen
2021 A* conf
Iterative Teaching by Label Synthesis.
NeurIPS
Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
2021 J jnl
Iterative Teaching by Label Synthesis.
CoRR
Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
2021 J jnl
Lifelong Topological Visual Navigation.
CoRR
Rey Reza Wiyatno, Anqi Xu, Liam Paull
2021 A conf
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents.
IROS
Anthony Courchesne, Andrea Censi, Liam Paull
2021 J jnl
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents.
CoRR
Anthony Courchesne, Andrea Censi, Liam Paull
2021 A* conf
Orthogonal Over-Parameterized Training.
CVPR
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller
2021 Misc conf
Taskography: Evaluating robot task planning over large 3D scene graphs.
CoRL
Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti
2021 — conf
Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning.
CRV
Manfred Diaz, Thomas Fevens, Liam Paull
2021 A* conf
gradSim: Differentiable simulation for system identification and visuomotor control.
ICLR
J. Krishna Murthy, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler
2021 J jnl
gradSim: Differentiable simulation for system identification and visuomotor control.
CoRR
Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler
2020 J jnl
Curriculum in Gradient-Based Meta-Reinforcement Learning.
CoRR
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal, Liam Paull
2020 J jnl
Generating Automatic Curricula via Self-Supervised Active Domain Randomization.
CoRR
Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo, Liam Paull
2020 A conf
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents.
IROS
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, Andrea Censi
2020 J jnl
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents.
CoRR
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, Andrea Censi
2020 J jnl
La-MAML: Look-ahead Meta Learning for Continual Learning.
CoRR
Gunshi Gupta, Karmesh Yadav, Liam Paull
2020 A* conf
Look-ahead Meta Learning for Continual Learning.
NeurIPS
Gunshi Gupta, Karmesh Yadav, Liam Paull
2020 J jnl
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map.
IEEE Robotics Autom. Lett.
Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus
2020 A* conf
Perceptual Generative Autoencoders.
ICML
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
2020 A* conf
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling.
NeurIPS
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio
2020 J jnl
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling.
CoRR
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio
2020 A* conf
∇SLAM: Dense SLAM meets Automatic Differentiation.
ICRA
Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull
2019 A* conf
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies.
ICRA
Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull
2019 Misc conf
Active Domain Randomization.
CoRL
Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull
2019 J jnl
Active Domain Randomization.
CoRR
Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull
2019 J jnl
Deep Active Localization.
CoRR
Sai Krishna, Keehong Seo, Dhaivat Bhatt, Vincent Mai, J. Krishna Murthy, Liam Paull
2019 J jnl
Deep Active Localization.
IEEE Robotics Autom. Lett.
Sai Krishna Gottipati, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy, Liam Paull
2019 — conf
Perceptual Generative Autoencoders.
DGS@ICLR
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
2019 J jnl
Perceptual Generative Autoencoders.
CoRR
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
2019 J jnl
The AI Driving Olympics at NeurIPS 2018.
CoRR
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, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi, Liam Paull
2019 J jnl
gradSLAM: Dense SLAM meets Automatic Differentiation.
CoRR
Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull
2018 J jnl
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies.
CoRR
Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull
2018 A* conf
Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps.
ICRA
Teddy Ort, Liam Paull, Daniela Rus
2018 — conf
Geometric Consistency for Self-Supervised End-to-End Visual Odometry.
CVPR Workshops
Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull
2018 J jnl
Geometric Consistency for Self-Supervised End-to-End Visual Odometry.
CoRR
Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull
2018 A* conf
Learning Steering Bounds for Parallel Autonomous Systems.
ICRA
Alexander Amini, Liam Paull, Thomas Balch, Sertac Karaman, Daniela Rus
2018 J jnl
Local Positioning System Using UWB Range Measurements for an Unmanned Blimp.
IEEE Robotics Autom. Lett.
Vincent Mai, Mina Kamel, Matthias Krebs, Andreas Schaffner, Daniel Meier, Liam Paull, Roland Siegwart
2018 J jnl
Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping.
Int. J. Robotics Res.
Liam Paull, Mae L. Seto, John J. Leonard, Howard Li
2018 J jnl
Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model.
IEEE Trans. Intell. Transp. Syst.
Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, Daniela Rus
2017 B conf
A parallel autonomy research platform.
Intelligent Vehicles Symposium
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, Daniela Rus
2017 A* conf
Duckietown: An open, inexpensive and flexible platform for autonomy education and research.
ICRA
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, Michael Novitzky, Igor Franzoni Okuyama, Jason Pazis, Guy Rosman, Valerio Varricchio, Hsueh-Cheng Wang, Dmitry S. Yershov, Hang Zhao, Michael Benjamin, Christopher Carr, Maria T. Zuber, Sertac Karaman, Emilio Frazzoli, Domitilla Del Vecchio, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi
2017 A conf
Hybrid control and learning with coresets for autonomous vehicles.
IROS
Guy Rosman, Liam Paull, Daniela Rus
2017 A* conf
Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention.
ICRA
Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, Daniela Rus
2017 J jnl
SLAM with Objects using a Nonparametric Pose Graph.
CoRR
Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How
2017 J jnl
Two-Stage Focused Inference for Resource-Constrained Minimal Collision Navigation.
IEEE Trans. Robotics
Beipeng Mu, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How
2016 A* conf
A unified resource-constrained framework for graph SLAM.
ICRA
Liam Paull, Guoquan Huang, John J. Leonard
2016 A conf
Decoupled, consistent node removal and edge sparsification for graph-based SLAM.
IROS
Kevin Eckenhoff, Liam Paull, Guoquan Huang
2016 — conf
Duckietown: An Innovative Way to Teach Autonomy.
EDUROBOTICS
Jacopo Tani, Liam Paull, Maria T. Zuber, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi
2016 — conf
Information-based Active SLAM via topological feature graphs.
CDC
Beipeng Mu, Matthew Giamou, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How
2016 J jnl
Requirements for building an ontology for autonomous robots.
Ind. Robot
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, Liam Paull, Edson Prestes, S. Veera Ragavan, Sajad Saeedi G., Ricardo Sanz, Mae L. Seto, Bruce Spencer, Amirkhosro Vosughi, Howard Li
2016 A conf
SLAM with objects using a nonparametric pose graph.
IROS
Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How
2015 — conf
An Overview of MIT-Olin's Approach in the AUVSI RobotX Competition.
FSR
Arthur Anderson, Erin M. Fischell, Thom Howe, Tom Miller, Arturo Parrales-Salinas, Nick Rypkema, David Barrett, Michael Benjamin, Alex Brennen, Michael DeFillipo, John J. Leonard, Liam Paull, Henrik R. Schmidt, Nick Wang, Alon Yaari
2015 A conf
Bridging text spotting and SLAM with junction features.
IROS
Hsueh-Cheng Wang, Chelsea Finn, Liam Paull, Michael Kaess, Ruth Rosenholtz, Seth J. Teller, John J. Leonard
2015 A* conf
Communication-constrained multi-AUV cooperative SLAM.
ICRA
Liam Paull, Guoquan Huang, Mae L. Seto, John J. Leonard
2015 J jnl
Information-based Active SLAM via Topological Feature Graphs.
CoRR
Beipeng Mu, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How
2015 J jnl
Occupancy Grid Map Merging for Multiple robot simultaneous Localization and Mapping.
Int. J. Robotics Autom.
Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li
2015 — conf
Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation.
Robotics: Science and Systems
Beipeng Mu, Ali-Akbar Agha-Mohammadi, Liam Paull, Matthew C. Graham, Jonathan P. How, John J. Leonard
2014 A* conf
Area coverage planning that accounts for pose uncertainty with an AUV seabed surveying application.
ICRA
Liam Paull, Mae L. Seto, Howard Li
2014 A conf
Decentralized cooperative trajectory estimation for autonomous underwater vehicles.
IROS
Liam Paull, Mae L. Seto, John J. Leonard
2014 J jnl
Group Mapping: A Topological Approach to Map Merging for Multiple Robots.
IEEE Robotics Autom. Mag.
Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li
2014 J jnl
Map merging for multiple robots using Hough peak matching.
Robotics Auton. Syst.
Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li
2014 J jnl
Sensor-Driven Area Coverage for an Autonomous Fixed-Wing Unmanned Aerial Vehicle.
IEEE Trans. Cybern.
Liam Paull, Carl Thibault, Amr Nagaty, Mae L. Seto, Howard Li
2012 A conf
Efficient map merging using a probabilistic generalized Voronoi diagram.
IROS
Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li
2012 A conf
Map merging using hough peak matching.
IROS
Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li
2012 A conf
Sensor driven online coverage planning for autonomous underwater vehicles.
IROS
Liam Paull, Sajad Saeedi Gharahbolagh, Mae L. Seto, Howard Li
2012 A conf
Towards an Ontology for Autonomous Robots.
IROS
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, Mae L. Seto, Aleksandar Stefanovski, Michael Trentini, Howard Li
2011 — conf
A Multi-agent Framework with MOOS-IvP for Autonomous Underwater Vehicles with Sidescan Sonar Sensors.
AIS
Liam Paull, Sajad Saeedi G., Mae L. Seto, Howard Li
2011 A conf
Multiple robot simultaneous localization and mapping.
IROS
Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li
2011 J jnl
Neural Network-Based Multiple Robot Simultaneous Localization and Mapping.
IEEE Trans. Neural Networks
Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li
2011 A conf
Neural network-based multiple robot Simultaneous Localization and Mapping.
IROS
Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li
2010 — conf
An information gain based adaptive path planning method for an autonomous underwater vehicle using sidescan sonar.
CASE
Liam Paull, Sajad Saeedi G., Howard Li, Vincent Myers
2010 J jnl
Document Classification Using Information Theory And A Fast Back-Propagation Neural Network.
Intell. Autom. Soft Comput.
Howard Li, Liam Paull, Yevgen Biletskiy, Simon X. Yang
2009 — conf
Awater heater model for increased power system efficiency.
CCECE
Liam Paull, Derek MacKay, Howard Li, Liuchen Chang
2009 — conf
Path planning for multiple Unmanned Aerial Vehicles using genetic algorithms.
CCECE
Howard Li, Yi Fu, Khalid Elgazzar, Liam Paull