Low Cost Fault Detection Isolation and Recovery Implemented on an Autonomous Unmanned Ground Vehicle. - Phillip L. Koon; Matthew Johnson-Roberson; Chris Urmson; Jay Gowdy; Kevin M. Peterson (IASSE, 2004)

Simultaneous Localisation and Mapping and Dense Stereoscopic Seafloor Reconstruction Using an AUV. - Stefan B. Williams; Oscar Pizarro; Ian Mahon; Matthew Johnson-Roberson (ISER, 2008)

Efficient View-Based SLAM Using Visual Loop Closures. - Ian Mahon; Stefan B. Williams; Oscar Pizarro; Matthew Johnson-Roberson (IEEE Trans. Robotics, 2008)

Airborne smoothing and mapping using vision and inertial sensors. - Mitch Bryson; Matthew Johnson-Roberson; Salah Sukkarieh (ICRA, 2009)

Enhanced Visual Scene Understanding through Human-Robot Dialog. - Matthew Johnson-Roberson; Jeannette Bohg; Danica Kragic; Gabriel Skantze; Joakim Gustafson; Rolf Carlson (AAAI Fall Symposium: Dialog with Robots, 2010)

Saliency ranking for benthic survey using underwater images. - Matthew Johnson-Roberson; Oscar Pizarro; Stefan B. Williams (ICARCV, 2010)

Strategies for multi-modal scene exploration. - Jeannette Bohg; Matthew Johnson-Roberson; Mårten Björkman; Danica Kragic (IROS, 2010)

Attention-based active 3D point cloud segmentation. - Matthew Johnson-Roberson; Jeannette Bohg; Mårten Björkman; Danica Kragic (IROS, 2010)

Generation and visualization of large-scale three-dimensional reconstructions from underwater robotic surveys. - Matthew Johnson-Roberson; Oscar Pizarro; Stefan B. Williams; Ian Mahon (J. Field Robotics, 2010)

Autonomous underwater vehicle-assisted surveying of drowned reefs on the shelf edge of the Great Barrier Reef, Australia. - Stefan B. Williams; Oscar Pizarro; Jody M. Webster; Robin J. Beaman; Ian Mahon; Matthew Johnson-Roberson; Tom C. L. Bridge (J. Field Robotics, 2010)

Mind the gap - robotic grasping under incomplete observation. - Jeannette Bohg; Matthew Johnson-Roberson; Beatriz León; Javier Felip; Xavi Gratal; Niklas Bergström; Danica Kragic; Antonio Morales (ICRA, 2011)

Reconstructing pavlopetri: Mapping the world's oldest submerged town using stereo-vision. - Ian Mahon; Oscar Pizarro; Matthew Johnson-Roberson; Ariell Friedman; Stefan B. Williams; Jon C. Henderson (ICRA, 2011)

Enhanced visual scene understanding through human-robot dialog. - Matthew Johnson-Roberson; Jeannette Bohg; Gabriel Skantze; Joakim Gustafson; Rolf Carlson; Babak Rasolzadeh; Danica Kragic (IROS, 2011)

Colour-Consistent Structure-from-Motion Models using Underwater Imagery. - Mitch Bryson; Matthew Johnson-Roberson; Oscar Pizarro; Stefan B. Williams (Robotics: Science and Systems, 2012)

FFT-based Terrain Segmentation for Underwater Mapping. - Bertrand Douillard; Navid Nourani-Vatani; Matthew Johnson-Roberson; Stefan B. Williams; Christopher N. Roman; Oscar Pizarro; Ian Vaughn; Gabrielle Inglis (Robotics: Science and Systems, 2012)

Monitoring of Benthic Reference Sites: Using an Autonomous Underwater Vehicle. - Stefan B. Williams; Oscar Pizarro; Michael V. Jakuba; Craig R. Johnson; Neville Barrett; Russell C. Babcock; Gary A. Kendrick; Peter D. Steinberg; Andrew J. Heyward; Peter J. Doherty; Ian Mahon; Matthew Johnson-Roberson; et al. (IEEE Robotics Autom. Mag., 2012)

Out-of-Core Efficient Blending for Underwater Georeferenced Textured 3D Maps. - Matthew Johnson-Roberson; Mitch Bryson; Bertrand Douillard; Oscar Pizarro; Stefan B. Williams (COM.Geo, 2013)

Automated registration for multi-year robotic surveys of marine benthic habitats. - Mitch Bryson; Matthew Johnson-Roberson; Oscar Pizarro; Stefan B. Williams (IROS, 2013)

Frequency-based underwater terrain segmentation. - Bertrand Douillard; Navid Nourani-Vatani; Matthew Johnson-Roberson; Oscar Pizarro; Stefan B. Williams; Christopher N. Roman; Ian Vaughn (Auton. Robots, 2013)

Crowdsourced saliency for mining robotically gathered 3D maps using multitouch interaction on smartphones and tablets. - Matthew Johnson-Roberson; Mitch Bryson; Bertrand Douillard; Oscar Pizarro; Stefan B. Williams (ICRA, 2014)

High-level visual features for underwater place recognition. - Jie Li 017; Ryan M. Eustice; Matthew Johnson-Roberson (ICRA, 2015)

Building 3D mosaics from an Autonomous Underwater Vehicle, Doppler velocity log, and 2D imaging sonar. - Paul Ozog; Giancarlo Troni; Michael Kaess; Ryan M. Eustice; Matthew Johnson-Roberson (ICRA, 2015)

Financialized methods for market-based multi-sensor fusion. - Jacob D. Abernethy; Matthew Johnson-Roberson (IROS, 2015)

Discovering salient regions on 3D photo-textured maps: Crowdsourcing interaction data from multitouch smartphones and tablets. - Matthew Johnson-Roberson; Mitch Bryson; Bertrand Douillard; Oscar Pizarro; Stefan B. Williams (Comput. Vis. Image Underst., 2015)

Utilizing high-dimensional features for real-time robotic applications: Reducing the curse of dimensionality for recursive Bayesian estimation. - Jie Li 017; Paul Ozog; Jacob D. Abernethy; Ryan M. Eustice; Matthew Johnson-Roberson (IROS, 2016)

Towards real-time underwater 3D reconstruction with plenoptic cameras. - Katherine A. Skinner; Matthew Johnson-Roberson (IROS, 2016)

Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks? - Matthew Johnson-Roberson; Charles Barto; Rounak Mehta; Sharath Nittur Sridhar; Ram Vasudevan (CoRR, 2016)

True Color Correction of Autonomous Underwater Vehicle Imagery. - Mitch Bryson; Matthew Johnson-Roberson; Oscar Pizarro; Stefan B. Williams (J. Field Robotics, 2016)

Underwater Image Dehazing with a Light Field Camera. - Katherine A. Skinner; Matthew Johnson-Roberson (CVPR Workshops, 2017)

Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks? - Matthew Johnson-Roberson; Charles Barto; Rounak Mehta; Sharath Nittur Sridhar; Karl Rosaen; Ram Vasudevan (ICRA, 2017)

Automatic color correction for 3D reconstruction of underwater scenes. - Katherine A. Skinner; Eduardo Iscar; Matthew Johnson-Roberson (ICRA, 2017)

A framework for enhanced localization of marine mammals using auto-detected video and wearable sensor data fusion. - Joaquin Gabaldon; Ding Zhang; Kira Barton; Matthew Johnson-Roberson; K. Alex Shorter (IROS, 2017)

A probabilistic framework for intrinsic image decomposition from RGB-D streams. - Wonhui Kim; Matthew Johnson-Roberson (IROS, 2017)

Technical Report for Real-Time Certified Probabilistic Pedestrian Forecasting. - Henry O. Jacobs; Owen K. Hughes; Matthew Johnson-Roberson; Ram Vasudevan (CoRR, 2017)

Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments. - Shreyas Kousik; Sean Vaskov; Matthew Johnson-Roberson; Ramanarayan Vasudevan (CoRR, 2017)

High-Resolution Underwater Robotic Vision-Based Mapping and Three-Dimensional Reconstruction for Archaeology. - Matthew Johnson-Roberson; Mitch Bryson; Ariell Friedman; Oscar Pizarro; Giancarlo Troni; Paul Ozog; Jon C. Henderson (J. Field Robotics, 2017)

Real-Time Certified Probabilistic Pedestrian Forecasting. - Henry O. Jacobs; Owen K. Hughes; Matthew Johnson-Roberson; Ram Vasudevan (IEEE Robotics Autom. Lett., 2017)

Mapping underwater ship hulls using a model-assisted bundle adjustment framework. - Paul Ozog; Matthew Johnson-Roberson; Ryan M. Eustice (Robotics Auton. Syst., 2017)

Real-Time Model Predictive Control for Energy Management in Autonomous Underwater Vehicle. - Niankai Yang; Mohammad Reza Amini; Matthew Johnson-Roberson; Jing Sun 003 (CDC, 2018)

Modeling Camera Effects to Improve Visual Learning from Synthetic Data. - Alexandra Carlson; Katherine A. Skinner; Ram Vasudevan; Matthew Johnson-Roberson (ECCV Workshops (1), 2018)

Robust Environmental Mapping by Mobile Sensor Networks. - Hyongju Park; Jinsun Liu; Matthew Johnson-Roberson; Ram Vasudevan (ICRA, 2018)

Modeling Camera Effects to Improve Deep Vision for Real and Synthetic Data. - Alexandra Carlson; Katherine A. Skinner; Matthew Johnson-Roberson (CoRR, 2018)

PedX: Benchmark Dataset for Metric 3D Pose Estimation of Pedestrians in Complex Urban Intersections. - Wonhui Kim; Manikandasriram Srinivasan Ramanagopal; Charles Barto; Ming-Yuan Yu; Karl Rosaen; Nick Goumas; Ram Vasudevan; Matthew Johnson-Roberson (CoRR, 2018)

Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction. - Xiaoxiao Du 001; Ram Vasudevan; Matthew Johnson-Roberson (CoRR, 2018)

SilhoNet: An RGB Method for 3D Object Pose Estimation and Grasp Planning. - Gideon Billings; Matthew Johnson-Roberson (CoRR, 2018)

Pose-Graph SLAM Using Forward-Looking Sonar. - Jie Li 017; Michael Kaess; Ryan M. Eustice; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2018)

WaterGAN: Unsupervised Generative Network to Enable Real-Time Color Correction of Monocular Underwater Images. - Jie Li 017; Katherine A. Skinner; Ryan M. Eustice; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2018)

Failing to Learn: Autonomously Identifying Perception Failures for Self-Driving Cars. - Manikandasriram Srinivasan Ramanagopal; Cyrus Anderson; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2018)

Simulation and Real-World Evaluation of Attack Detection Schemes. - Matthew Porter; Arnav Joshi; Pedro Hespanhol; Anil Aswani; Matthew Johnson-Roberson; Ram Vasudevan (ACC, 2019)

Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle. - Sean Vaskov; Utkarsh Sharma; Shreyas Kousik; Matthew Johnson-Roberson; Ramanarayan Vasudevan (ACC, 2019)

Energy Management for Autonomous Underwater Vehicles using Economic Model Predictive Control. - Niankai Yang; Dongsik Chang; Mohammad Reza Amini; Matthew Johnson-Roberson; Jing Sun 003 (ACC, 2019)

A constrained control-planning strategy for redundant manipulators. - Corina Barbalata; Ram Vasudevan; Matthew Johnson-Roberson (ICRA, 2019)

UWStereoNet: Unsupervised Learning for Depth Estimation and Color Correction of Underwater Stereo Imagery. - Katherine A. Skinner; Junming Zhang; Elizabeth A. Olson; Matthew Johnson-Roberson (ICRA, 2019)

Localization and Tracking of Uncontrollable Underwater Agents: Particle Filter Based Fusion of On-Body IMUs and Stationary Cameras. - Ding Zhang; Joaquin Gabaldon; Lisa Lauderdale; Matthew Johnson-Roberson; Lance J. Miller; Kira Barton; K. Alex Shorter (ICRA, 2019)

Stochastic Sampling Simulation for Pedestrian Trajectory Prediction. - Cyrus Anderson; Xiaoxiao Du 001; Ram Vasudevan; Matthew Johnson-Roberson (IROS, 2019)

Not-at-Fault Driving in Traffic: A Reachability-Based Approach. - Sean Vaskov; Hannah Larson; Shreyas Kousik; Matthew Johnson-Roberson; Ram Vasudevan (ITSC, 2019)

Towards Provably Not-At-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments. - Sean Vaskov; Shreyas Kousik; Hannah Larson; Fan Bu; James Robert Ward; Stewart Worrall 002; Matthew Johnson-Roberson; Ram Vasudevan (Robotics: Science and Systems, 2019)

On-Demand Trajectory Predictions for Interaction Aware Highway Driving. - Cyrus Anderson; Ram Vasudevan; Matthew Johnson-Roberson (CoRR, 2019)

Shadow Transfer: Single Image Relighting For Urban Road Scenes. - Alexandra Carlson; Ram Vasudevan; Matthew Johnson-Roberson (CoRR, 2019)

SilhoNet: An RGB Method for 6D Object Pose Estimation. - Gideon Billings; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2019)

Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation. - Alexandra Carlson; Katherine A. Skinner; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2019)

Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3-D Pedestrian Pose and Gait Prediction. - Xiaoxiao Du 001; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2019)

PedX: Benchmark Dataset for Metric 3-D Pose Estimation of Pedestrians in Complex Urban Intersections. - Wonhui Kim; Manikandasriram Srinivasan Ramanagopal; Charles Barto; Ming-Yuan Yu; Karl Rosaen; Nick Goumas; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2019)

Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments. - Ming-Yuan Yu; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2019)

DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation From Stereo Imagery. - Junming Zhang; Katherine A. Skinner; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2019)

Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks. - Junming Zhang; Ming-Yuan Yu; Ram Vasudevan; Matthew Johnson-Roberson (3DV, 2020)

An Active Perception Approach for Mid-Water Localization of Autonomous Underwater Vehicles. - Dongsik Chang; Matthew Johnson-Roberson; Jing Sun 003 (ACC, 2020)

Robust Energy-optimal Path Following Control for Autonomous Underwater Vehicles in Ocean Currents. - Niankai Yang; Dongsik Chang; Matthew Johnson-Roberson; Jing Sun 003 (ACC, 2020)

Detecting Deception Attacks on Autonomous Vehicles via Linear Time-Varying Dynamic Watermarking. - Matthew Porter; Sidhartha Dey; Arnav Joshi; Pedro Hespanhol; Anil Aswani; Matthew Johnson-Roberson; Ram Vasudevan (CCTA, 2020)

Towards distortion based underwater domed viewport camera calibration. - Eduardo Iscar; Matthew Johnson-Roberson (ICRA, 2020)

Leveraging the Template and Anchor Framework for Safe, Online Robotic Gait Design. - Jinsun Liu; Pengcheng Zhao; Zhenyu Gan; Matthew Johnson-Roberson; Ram Vasudevan (ICRA, 2020)

Risk Assessment and Planning with Bidirectional Reachability for Autonomous Driving. - Ming-Yuan Yu; Ram Vasudevan; Matthew Johnson-Roberson (ICRA, 2020)

LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery. - Junming Zhang; Manikandasriram Srinivasan Ramanagopal; Ram Vasudevan; Matthew Johnson-Roberson (ICRA, 2020)

Reachable Sets for Safe, Real-Time Manipulator Trajectory Design. - Patrick D. Holmes; Shreyas Kousik; Bohao Zhang; Daphna Raz; Corina Barbalata; Matthew Johnson-Roberson; Ram Vasudevan (Robotics: Science and Systems, 2020)

Pixel-Wise Motion Deblurring of Thermal Videos. - Manikandasriram Srinivasan Ramanagopal; Zixu Zhang; Ram Vasudevan; Matthew Johnson-Roberson (Robotics: Science and Systems, 2020)

Parametric Design of Underwater Optical Systems. - Gideon Billings; Eduardo Iscar; Matthew Johnson-Roberson (CoRR, 2020)

Bridging the gap between safety and real-time performance in receding-horizon trajectory design for mobile robots. - Shreyas Kousik; Sean Vaskov; Fan Bu; Matthew Johnson-Roberson; Ram Vasudevan (Int. J. Robotics Res., 2020)

Low Latency Trajectory Predictions for Interaction Aware Highway Driving. - Cyrus Anderson; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2020)

Off the Beaten Sidewalk: Pedestrian Prediction in Shared Spaces for Autonomous Vehicles. - Cyrus Anderson; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2020)

SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images. - Gideon Billings; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2020)

Pedestrian Planar LiDAR Pose (PPLP) Network for Oriented Pedestrian Detection Based on Planar LiDAR and Monocular Images. - Fan Bu; Trinh Le; Xiaoxiao Du 001; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2020)

Deep Learning and Machine Learning in Robotics [From the Guest Editors]. - Fabio Bonsignorio; David Hsu; Matthew Johnson-Roberson; Jens Kober (IEEE Robotics Autom. Mag., 2020)

Unsupervised Pedestrian Pose Prediction: A Deep Predictive Coding Network-Based Approach for Autonomous Vehicle Perception. - Xiaoxiao Du 001; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Mag., 2020)

Energy-optimal Path Planning with Active Flow Perception for Autonomous Underwater Vehicles. - Niankai Yang; Dongsik Chang; Matthew Johnson-Roberson; Jing Sun 003 (ICRA, 2021)

Coupling Intent and Action for Pedestrian Crossing Behavior Prediction. - Yu Yao 006; Ella M. Atkins; Matthew Johnson-Roberson; Ram Vasudevan; Xiaoxiao Du 001 (IJCAI, 2021)

Resilient Control of Platooning Networked Robitic Systems via Dynamic Watermarking. - Matthew Porter; Arnav Joshi; Sidhartha Dey; Qirui Wu; Pedro Hespanhol; Anil Aswani; Matthew Johnson-Roberson; Ram Vasudevan (CoRR, 2021)

BiTraP: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation. - Yu Yao 006; Ella M. Atkins; Matthew Johnson-Roberson; Ram Vasudevan; Xiaoxiao Du 001 (IEEE Robotics Autom. Lett., 2021)

Point Set Voting for Partial Point Cloud Analysis. - Junming Zhang; Weijia Chen; Yuping Wang; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2021)

Detecting Generalized Replay Attacks via Time-Varying Dynamic Watermarking. - Matthew Porter; Pedro Hespanhol; Anil Aswani; Matthew Johnson-Roberson; Ramanarayan Vasudevan (IEEE Trans. Autom. Control., 2021)

A Kinematic Model for Trajectory Prediction in General Highway Scenarios. - Cyrus Anderson; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2021)

Energy-optimal Three-dimensional Path-following Control of Autonomous Underwater Vehicles under Ocean Currents. - Niankai Yang; Chao Shen 003; Matthew Johnson-Roberson; Jing Sun 003 (CCTA, 2022)

LiSnowNet: Real-time Snow Removal for LiDAR Point Clouds. - Ming-Yuan Yu; Ram Vasudevan; Matthew Johnson-Roberson (IROS, 2022)

LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud. - Ming-Yuan Yu; Ram Vasudevan; Matthew Johnson-Roberson (CoRR, 2022)

Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems. - Gideon Billings; Richard Camilli; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2022)

Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization. - Tianyi Zhang 014; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2022)

An Active Perception Framework for Autonomous Underwater Vehicle Navigation Under Sensor Constraints. - Dongsik Chang; Matthew Johnson-Roberson; Jing Sun 003 (IEEE Trans. Control. Syst. Technol., 2022)

Energy-Optimal Control for Autonomous Underwater Vehicles Using Economic Model Predictive Control. - Niankai Yang; Dongsik Chang; Matthew Johnson-Roberson; Jing Sun 003 (IEEE Trans. Control. Syst. Technol., 2022)

Towards Automated Sample Collection and Return in Extreme Underwater Environments. - Gideon Billings; Matthew R. Walter; Oscar Pizarro; Matthew Johnson-Roberson; Richard Camilli (Field Robotics, 2022)

Hyperspherical Embedding for Point Cloud Completion. - Junming Zhang; Haomeng Zhang; Ram Vasudevan; Matthew Johnson-Roberson (CVPR, 2023)

Learning from Demonstration via Probabilistic Diagrammatic Teaching. - Weiming Zhi; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2023)

Reasoning about the Unseen for Efficient Outdoor Object Navigation. - Quanting Xie; Tianyi Zhang 014; Kedi Xu 003; Matthew Johnson-Roberson; Yonatan Bisk (CoRR, 2023)

Learning Orbitally Stable Systems for Diagrammatically Teaching. - Weiming Zhi; Kangni Liu; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2023)

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. - Yafei Hu; Quanting Xie; Vidhi Jain; Jonathan Francis; Jay Patrikar; Nikhil Varma Keetha; Seungchan Kim; Yaqi Xie 001; Tianyi Zhang 014; Shibo Zhao; Yu Quan Chong; Chen Wang 033; et al. (CoRR, 2023)

CLONeR: Camera-Lidar Fusion for Occupancy Grid-Aided Neural Representations. - Alexandra Carlson; Manikandasriram Srinivasan Ramanagopal; Nathan Tseng; Matthew Johnson-Roberson; Ram Vasudevan; Katherine A. Skinner (IEEE Robotics Autom. Lett., 2023)

Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery. - Tianyi Zhang 014; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2023)

Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching. - Weiming Zhi; Tianyi Zhang 014; Matthew Johnson-Roberson (ICRA, 2024)

Teaching Robots Where To Go And How To Act With Human Sketches via Spatial Diagrammatic Instructions. - Qilin Sun 007; Weiming Zhi; Tianyi Zhang 014; Matthew Johnson-Roberson (IROS, 2024)

V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes. - Herbert Wright; Weiming Zhi; Matthew Johnson-Roberson; Tucker Hermans (IROS, 2024)

DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark. - Tianyi Zhang 014; Kaining Huang; Weiming Zhi; Matthew Johnson-Roberson (IROS, 2024)

Customizable Perturbation Synthesis for Robust SLAM Benchmarking. - Xiaohao Xu; Tianyi Zhang 014; Sibo Wang; Xiang Li 106; Yongqi Chen; Ye Li; Bhiksha Raj; Matthew Johnson-Roberson; Xiaonan Huang (CoRR, 2024)

Diagrammatic Instructions to Specify Spatial Objectives and Constraints with Applications to Mobile Base Placement. - Qilin Sun 007; Weiming Zhi; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2024)

Unifying Scene Representation and Hand-Eye Calibration with 3D Foundation Models. - Weiming Zhi; Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2024)

Self-supervised Pre-training for Transferable Multi-modal Perception. - Xiaohao Xu; Tianyi Zhang 014; Jinrong Yang; Matthew Johnson-Roberson; Xiaonan Huang (CoRR, 2024)

From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking. - Xiaohao Xu; Tianyi Zhang 014; Sibo Wang; Xiang Li 106; Yongqi Chen; Ye Li; Bhiksha Raj; Matthew Johnson-Roberson; Xiaonan Huang (CoRR, 2024)

RecGS: Removing Water Caustic with Recurrent Gaussian Splatting. - Tianyi Zhang 014; Weiming Zhi; Kaining Huang; Joshua G. Mangelson; Corina Barbalata; Matthew Johnson-Roberson (CoRR, 2024)

3D Foundation Models Enable Simultaneous Geometry and Pose Estimation of Grasped Objects. - Weiming Zhi; Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2024)

Embodied-RAG: General non-parametric Embodied Memory for Retrieval and Generation. - Quanting Xie; So Yeon Min; Tianyi Zhang 014; Aarav Bajaj; Ruslan Salakhutdinov; Matthew Johnson-Roberson; Yonatan Bisk (CoRR, 2024)

PhotoReg: Photometrically Registering 3D Gaussian Splatting Models. - Ziwen Yuan; Tianyi Zhang 014; Matthew Johnson-Roberson; Weiming Zhi (CoRR, 2024)

SplaTraj: Camera Trajectory Generation with Semantic Gaussian Splatting. - Xinyi Liu; Tianyi Zhang 014; Matthew Johnson-Roberson; Weiming Zhi (CoRR, 2024)

Robust Bayesian Scene Reconstruction by Leveraging Retrieval-Augmented Priors. - Herbert Wright; Weiming Zhi; Matthew Johnson-Roberson; Tucker Hermans (CoRR, 2024)

Robust Energy-Optimal Control for 3-D Path-Following of Autonomous Underwater Vehicles Under Ocean Currents. - Niankai Yang; Chao Shen 003; Ziyou Song; Matthew Johnson-Roberson; Jing Sun 003 (IEEE Trans. Control. Syst. Technol., 2024)

Unifying Representation and Calibration With 3D Foundation Models. - Weiming Zhi; Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2024)

Simultaneous Geometry and Pose Estimation of Held Objects Via 3D Foundation Models. - Weiming Zhi; Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2024)

Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video. - Xiaohao Xu; Tianyi Zhang 014; Shibo Zhao; Xiang Li 106; Sibo Wang; Yongqi Chen; Ye Li; Bhiksha Raj; Matthew Johnson-Roberson; Sebastian Scherer; Xiaonan Huang (ICLR, 2025)

RecGS: Removing Water Caustic With Recurrent Gaussian Splatting. - Tianyi Zhang 014; Weiming Zhi; Braden Meyers; Nelson Durrant; Kaining Huang; Joshua G. Mangelson; Corina Barbalata; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2025)

DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories. - Hongzhe Cheng; Tianyou Zheng; Tianyi Zhang 014; Matthew Johnson-Roberson; Weiming Zhi (CoRR, 2025)

Teaching Periodic Stable Robot Motion Generation via Sketch. - Weiming Zhi; Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2025)

Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity. - Xiaohao Xu; Feng Xue; Xiang Li 106; Haowei Li; Shusheng Yang; Tianyi Zhang 014; Matthew Johnson-Roberson; Xiaonan Huang (CoRR, 2025)

Infinite Leagues Under the Sea: Photorealistic 3D Underwater Terrain Generation by Latent Fractal Diffusion Models. - Tianyi Zhang 014; Weiming Zhi; Joshua G. Mangelson; Matthew Johnson-Roberson (CoRR, 2025)

GraphSeg: Segmented 3D Representations via Graph Edge Addition and Contraction. - Haozhan Tang; Tianyi Zhang 014; Oliver Kroemer; Matthew Johnson-Roberson; Weiming Zhi (CoRR, 2025)

From Single Images to Motion Policies via Video-Generation Environment Representations. - Weiming Zhi; Ziyong Ma; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2025)

Bi-Manual Joint Camera Calibration and Scene Representation. - Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson; Weiming Zhi (CoRR, 2025)