Meghan Booker

According to our database, Meghan Booker authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

FLEET: Formal Language-Grounded Scheduling for Heterogeneous Robot Teams.

Corban Rivera, Grayson Byrd, Meghan Booker, Bethany Kemp, Allison Gaines, Emma Holmes, James Uplinger, Celso M. de Melo, David Handelman

CoRR, October, 2025

Constrained Natural Language Action Planning for Resilient Embodied Systems.

Grayson Byrd, Corban Rivera, Bethany Kemp, Meghan Booker, Aurora Schmidt, Celso M. de Melo, Lalithkumar Seenivasan, Mathias Unberath

CoRR, October, 2025

ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution.

Corban Rivera, Grayson Byrd, William Paul, Tyler Feldman, Meghan Booker, Emma Holmes, David Handelman, Bethany Kemp, Andrew Badger, Aurora Schmidt, Krishna Murthy Jatavallabhula, Celso M. de Melo, Lalithkumar Seenivasan, Mathias Unberath, Rama Chellappa

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Task-Driven Perception and Control for Robust and Efficient Autonomy.

Meghan Booker

PhD thesis, 2024

EmbodiedRAG: Dynamic 3D Scene Graph Retrieval for Efficient and Scalable Robot Task Planning.

Meghan Booker, Grayson Byrd, Bethany Kemp, Aurora Schmidt, Corban Rivera

CoRR, 2024

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

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Switching Attention in Time-Varying Environments via Bayesian Inference of Abstractions.

Meghan Booker, Anirudha Majumdar

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Online Learning for Obstacle Avoidance.

David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar

Proceedings of the Conference on Robot Learning, 2023

2021

Learning to Actively Reduce Memory Requirements for Robot Control Tasks.

Meghan Booker, Anirudha Majumdar

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021