Planning Safe Paths through Hazardous Environments. - Chris Denniston; Thomas R. Krogstad; Stephanie Kemna; Gaurav S. Sukhatme (CoRR, 2018)

Incorporating Noise into Adaptive Sampling. - Christopher E. Denniston; Aravind Kumaraguru; David A. Caron; Gaurav S. Sukhatme (ISER, 2020)

Adaptive Sampling using POMDPs with Domain-Specific Considerations. - Gautam Salhotra; Christopher E. Denniston; David A. Caron; Gaurav S. Sukhatme (ICRA, 2021)

Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. - Eric Heiden; Christopher E. Denniston; David Millard 001; Fabio Ramos 001; Gaurav S. Sukhatme (ICRA, 2022)

Adaptive Sampling to Estimate Quantiles for Guiding Physical Sampling. - Isabel M. Rayas Fernández; Christopher E. Denniston; David A. Caron; Gaurav S. Sukhatme (CoRR, 2022)

Present and Future of SLAM in Extreme Underground Environments. - Kamak Ebadi; Lukas Bernreiter; Harel Biggie; Gavin Catt; Yun Chang; Arghya Chatterjee 002; Christopher E. Denniston; Simon-Pierre Deschênes; Kyle Harlow; Shehryar Khattak; Lucas Nogueira; Matteo Palieri; et al. (CoRR, 2022)

LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments. - Yun Chang; Kamak Ebadi; Christopher E. Denniston; Muhammad Fadhil Ginting; Antoni Rosinol; Andrzej Reinke; Matteo Palieri; Jingnan Shi; Arghya Chatterjee 002; Benjamin Morrell; Ali-akbar Agha-mohammadi; Luca Carlone (IEEE Robotics Autom. Lett., 2022)

Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM. - Christopher E. Denniston; Yun Chang; Andrzej Reinke; Kamak Ebadi; Gaurav S. Sukhatme; Luca Carlone; Benjamin Morrell; Ali-akbar Agha-mohammadi (IEEE Robotics Autom. Lett., 2022)

Informative Path Planning to Estimate Quantiles for Environmental Analysis. - Isabel M. Rayas Fernández; Christopher E. Denniston; David A. Caron; Gaurav S. Sukhatme (IEEE Robotics Autom. Lett., 2022)

Fast and Scalable Signal Inference for Active Robotic Source Seeking. - Christopher E. Denniston; Oriana Peltzer; Joshua Ott; Sangwoo Moon; Sung-Kyun Kim; Gaurav S. Sukhatme; Mykel J. Kochenderfer; Mac Schwager; Ali-akbar Agha-mohammadi (ICRA, 2023)

Learned Parameter Selection for Robotic Information Gathering. - Christopher E. Denniston; Gautam Salhotra; Akseli Kangaslahti; David A. Caron; Gaurav S. Sukhatme (IROS, 2023)

A Study on Multirobot Quantile Estimation in Natural Environments. - Isabel M. Rayas Fernández; Christopher E. Denniston; Gaurav S. Sukhatme (CoRR, 2023)

Reducing Network Load via Message Utility Estimation for Decentralized Multirobot Teams. - Isabel M. Rayas Fernández; Christopher E. Denniston; Gaurav S. Sukhatme (CoRR, 2023)

Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge. - Kamak Ebadi; Lukas Bernreiter; Harel Biggie; Gavin Catt; Yun Chang; Arghya Chatterjee 002; Christopher E. Denniston; Simon-Pierre Deschênes; Kyle Harlow; Shehryar Khattak; Lucas Nogueira; Matteo Palieri; et al. (IEEE Trans. Robotics, 2024)

Active Signal Emitter Placement in Complex Environments. - Christopher E. Denniston; Baskin Senbaslar; Gaurav S. Sukhatme (IEEE Robotics Autom. Lett., 2024)

An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments. - Ali Agha; Kyohei Otsu; Benjamin Morrell; David D. Fan; Sung-Kyun Kim; Muhammad Fadhil Ginting; Xianmei Lei; Jeffrey A. Edlund; Seyed Abolfazl Fakoorian; Amanda Bouman; Fernando Chavez; Taeyeon Kim; et al. (CoRR, 2025)