| 2024 | EMNLP | PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling. | Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan |
| 2024 | ICRA | AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers. | Yongchao Chen, Jacob Arkin, Charles Dawson, Yang Zhang, Nicholas Roy, Chuchu Fan |
| 2024 | ICRA | Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems? | Yongchao Chen, Jacob Arkin, Yang Zhang, Nicholas Roy, Chuchu Fan |
| 2023 | IROS | Language Guided Temporally Adaptive Perception for Efficient Natural Language Grounding in Cluttered Dynamic Worlds. | Siddharth Patki, Jacob Arkin, Nikola Raicevic, Thomas M. Howard |
| 2022 | RO-MAN | An Efficient Algorithm for Visualization and Interpretation of Grounded Language Models. | Jacob Arkin, Siddharth Patki, Joshua D. Rosser, Thomas M. Howard |
| 2021 | IROS | Discrete Optimization of Adaptive State Lattices for Iterative Motion Planning on Unmanned Ground Vehicles. | Benned Hedegaard, Ethan Fahnestock, Jacob Arkin, Ashwin Menon, Thomas M. Howard |
| 2017 | IJCAI | Grounding Abstract Spatial Concepts for Language Interaction with Robots. | Rohan Paul, Jacob Arkin, Nicholas Roy, Thomas M. Howard |
| 2017 | RO-MAN | Contextual awareness: Understanding monologic natural language instructions for autonomous robots. | Jacob Arkin, Matthew R. Walter, Adrian Boteanu, Michael E. Napoli, Harel Biggie, Hadas Kress-Gazit, Thomas M. Howard |
| 2016 | IROS | A model for verifiable grounding and execution of complex natural language instructions. | Adrian Boteanu, Thomas M. Howard, Jacob Arkin, Hadas Kress-Gazit |