Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. - Jun Yamada; Youngwoon Lee; Gautam Salhotra; Karl Pertsch; Max Pflueger; Gaurav S. Sukhatme; Joseph J. Lim; Peter Englert (CoRL, 2020)

Sonifying Data from the Human Microbiota: Biota Beats. - Charles Kim; Alexandria Guo; Gautam Salhotra; Sara Sprinkhuizen; Keerthi Shetty; David Sun Kong (Comput. Music. J., 2020)

PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments. - Sung-Kyun Kim; Amanda Bouman; Gautam Salhotra; David D. Fan; Kyohei Otsu; Joel Burdick; Ali-akbar Agha-mohammadi (ICAPS, 2021)

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

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge. - Ali Agha; Kyohei Otsu; Benjamin Morrell; David D. Fan; Rohan Thakker; Angel Santamaria-Navarro; Sung-Kyun Kim; Amanda Bouman; Xianmei Lei; Jeffrey A. Edlund; Muhammad Fadhil Ginting; Kamak Ebadi; et al. (CoRR, 2021)

Learning Deformable Object Manipulation From Expert Demonstrations. - Gautam Salhotra; I-Chun Arthur Liu; Marcus Dominguez-Kuhne; Gaurav S. Sukhatme (IEEE Robotics Autom. Lett., 2022)

NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge. - Ali Agha; Kyohei Otsu; Benjamin Morrell; David D. Fan; Rohan Thakker; Angel Santamaria-Navarro; Sung-Kyun Kim; Amanda Bouman; Xianmei Lei; Jeffrey A. Edlund; Muhammad Fadhil Ginting; Kamak Ebadi; et al. (Field Robotics, 2022)

Learning Robot Manipulation from Cross-Morphology Demonstration. - Gautam Salhotra; I-Chun Arthur Liu; Gaurav S. Sukhatme (CoRL, 2023)

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

Bridging Action Space Mismatch in Learning from Demonstrations. - Gautam Salhotra; I-Chun Arthur Liu; Gaurav S. Sukhatme (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models. - Open X.-Embodiment Collaboration; Abhishek Padalkar; Acorn Pooley; Ajinkya Jain; Alex Bewley; Alexander Herzog; Alex Irpan; Alexander Khazatsky; Anant Raj; Anikait Singh; Anthony Brohan; Antonin Raffin; et al. (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Latent Weight Diffusion: Generating Policies from Trajectories. - Shashank Hegde; Gautam Salhotra; Gaurav S. Sukhatme (CoRR, 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)