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Jacob Arkin
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2020 – today
- 2024
- [c11]Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan:
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling. EMNLP 2024: 3859-3920 - [c10]Yongchao Chen, Jacob Arkin, Yang Zhang, Nicholas Roy, Chuchu Fan:
Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems? ICRA 2024: 4311-4317 - [c9]Yongchao Chen, Jacob Arkin, Charles Dawson, Yang Zhang, Nicholas Roy, Chuchu Fan:
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers. ICRA 2024: 6695-6702 - [i6]Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan:
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Preference Alignment. CoRR abs/2402.08702 (2024) - [i5]Kunal Garg, Jacob Arkin, Songyuan Zhang, Nicholas Roy, Chuchu Fan:
Large Language Models to the Rescue: Deadlock Resolution in Multi-Robot Systems. CoRR abs/2404.06413 (2024) - 2023
- [c8]Siddharth Patki, Jacob Arkin, Nikola Raicevic, Thomas M. Howard:
Language Guided Temporally Adaptive Perception for Efficient Natural Language Grounding in Cluttered Dynamic Worlds. IROS 2023: 7854-7861 - [i4]Joshua D. Rosser, Jacob Arkin, Siddharth Patki, Thomas M. Howard:
Resolving Ambiguity via Dialogue to Correct Unsynthesizable Controllers for Free-Flying Robots. CoRR abs/2304.05485 (2023) - [i3]Yongchao Chen, Jacob Arkin, Yang Zhang, Nicholas Roy, Chuchu Fan:
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers. CoRR abs/2306.06531 (2023) - [i2]Yongchao Chen, Jacob Arkin, Yang Zhang, Nicholas Roy, Chuchu Fan:
Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems? CoRR abs/2309.15943 (2023) - 2022
- [j4]Thomas M. Howard
, Ethan Stump
An Intelligence Architecture for Grounded Language Communication with Field Robots. Field Robotics 2(1): 468-512 (2022) - [c7]Jacob Arkin, Siddharth Patki, Joshua D. Rosser, Thomas M. Howard:
An Efficient Algorithm for Visualization and Interpretation of Grounded Language Models. RO-MAN 2022: 266-273 - 2021
- [c6]Benned Hedegaard, Ethan Fahnestock, Jacob Arkin, Ashwin Menon, Thomas M. Howard:
Discrete Optimization of Adaptive State Lattices for Iterative Motion Planning on Unmanned Ground Vehicles. IROS 2021: 5764-5771 - 2020
- [j3]Jacob Arkin
Multimodal estimation and communication of latent semantic knowledge for robust execution of robot instructions. Int. J. Robotics Res. 39(10-11) (2020)
2010 – 2019
- 2018
- [j2]Rohan Paul, Jacob Arkin, Derya Aksaray
Efficient grounding of abstract spatial concepts for natural language interaction with robot platforms. Int. J. Robotics Res. 37(10) (2018) - [c5]Jacob Arkin, Rohan Paul, Daehyung Park, Subhro Roy, Nicholas Roy, Thomas M. Howard:
Real-Time Human-Robot Communication for Manipulation Tasks in Partially Observed Environments. ISER 2018: 448-460 - 2017
- [j1]Alexander Broad, Jacob Arkin, Nathan D. Ratliff, Thomas M. Howard, Brenna D. Argall:
Real-time natural language corrections for assistive robotic manipulators. Int. J. Robotics Res. 36(5-7): 684-698 (2017) - [c4]Rohan Paul, Jacob Arkin, Nicholas Roy, Thomas M. Howard:
Grounding Abstract Spatial Concepts for Language Interaction with Robots. IJCAI 2017: 4929-4933 - [c3]Jacob Arkin, Matthew R. Walter, Adrian Boteanu, Michael E. Napoli, Harel Biggie, Hadas Kress-Gazit, Thomas M. Howard:
Contextual awareness: Understanding monologic natural language instructions for autonomous robots. RO-MAN 2017: 502-509 - [i1]Adrian Boteanu, Jacob Arkin, Siddharth Patki, Thomas M. Howard, Hadas Kress-Gazit:
Robot-Initiated Specification Repair through Grounded Language Interaction. CoRR abs/1710.01417 (2017) - 2016
- [c2]Adrian Boteanu, Thomas M. Howard, Jacob Arkin, Hadas Kress-Gazit:
A model for verifiable grounding and execution of complex natural language instructions. IROS 2016: 2649-2654 - [c1]Rohan Paul, Jacob Arkin, Nicholas Roy, Thomas M. Howard:
Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators. Robotics: Science and Systems 2016
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