The Kinematics of Tracked Vehicles via the Power Dissipation Method. - Anushri Dixit; Joel Burdick (CoRR, 2020)

Risk-Averse Stochastic Shortest Path Planning. - Mohamadreza Ahmadi; Anushri Dixit; Joel W. Burdick; Aaron D. Ames (CDC, 2021)

Risk-Sensitive Motion Planning using Entropic Value-at-Risk. - Anushri Dixit; Mohamadreza Ahmadi; Joel W. Burdick (ECC, 2021)

STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation. - David D. Fan; Kyohei Otsu; Yuki Kubo; Anushri Dixit; Joel Burdick; Ali-akbar Agha-mohammadi (Robotics: Science and Systems, 2021)

STEP: Stochastic Traversability Evaluation and Planning for Safe Off-road Navigation. - David D. Fan; Kyohei Otsu; Yuki Kubo; Anushri Dixit; Joel Burdick; Ali-Akbar Agha-Mohammadi (CoRR, 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)

PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains. - Sharmita Dey; David D. Fan; Robin Schmid; Anushri Dixit; Kyohei Otsu; Thomas Touma; Arndt F. Schilling; Ali-Akbar Agha-Mohammadi (IROS, 2022)

Risk-Averse Receding Horizon Motion Planning. - Anushri Dixit; Mohamadreza Ahmadi; Joel W. Burdick (CoRR, 2022)

Distributionally Robust Model Predictive Control With Total Variation Distance. - Anushri Dixit; Mohamadreza Ahmadi; Joel W. Burdick (IEEE Control. Syst. 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)

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. - Allen Z. Ren; Anushri Dixit; Alexandra Bodrova; Sumeet Singh; Stephen Tu; Noah Brown; Peng Xu 010; Leila Takayama; Fei Xia 002; Jake Varley; Zhenjia Xu; Dorsa Sadigh; et al. (CoRL, 2023)

Adaptive Conformal Prediction for Motion Planning among Dynamic Agents. - Anushri Dixit; Lars Lindemann; Skylar X. Wei; Matthew Cleaveland; George J. Pappas; Joel W. Burdick (L4DC, 2023)

Moving Obstacle Avoidance: A Data-Driven Risk-Aware Approach. - Skylar X. Wei; Anushri Dixit; Shashank Tomar; Joel W. Burdick (IEEE Control. Syst. Lett., 2023)

Risk-averse receding horizon motion planning for obstacle avoidance using coherent risk measures. - Anushri Dixit; Mohamadreza Ahmadi; Joel W. Burdick (Artif. Intell., 2023)

Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception. - Anushri Dixit; Zhiting Mei; Meghan Booker; Mariko Storey-Matsutani; Allen Z. Ren; Anirudha Majumdar (CoRL, 2024)

Explore until Confident: Efficient Exploration for Embodied Question Answering. - Allen Z. Ren; Jaden Clark; Anushri Dixit; Masha Itkina; Anirudha Majumdar; Dorsa Sadigh (Robotics: Science and Systems, 2024)

Sample-based bounds for coherent risk measures: Applications to policy synthesis and verification. - Prithvi Akella; Anushri Dixit; Mohamadreza Ahmadi; Joel W. Burdick; Aaron D. Ames (Artif. Intell., 2024)

Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification. - Prithvi Akella; Anushri Dixit; Mohamadreza Ahmadi; Lars Lindemann; Margaret P. Chapman; George J. Pappas; Aaron D. Ames; Joel W. Burdick (CoRR, 2024)

STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge. - Anushri Dixit; David D. Fan; Kyohei Otsu; Sharmita Dey; Ali-Akbar Agha-Mohammadi; Joel Burdick (Field Robotics, 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)