Jacob Arkin

Orcid: 0000-0002-1074-9248

According to our database1, Jacob Arkin authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Preference Alignment.
CoRR, 2024

2023
Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?
CoRR, 2023

AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers.
CoRR, 2023

Resolving Ambiguity via Dialogue to Correct Unsynthesizable Controllers for Free-Flying Robots.
CoRR, 2023

Language Guided Temporally Adaptive Perception for Efficient Natural Language Grounding in Cluttered Dynamic Worlds.
IROS, 2023

2022
An Intelligence Architecture for Grounded Language Communication with Field Robots.
Field Robotics, March, 2022

An Efficient Algorithm for Visualization and Interpretation of Grounded Language Models.
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

2021
Discrete Optimization of Adaptive State Lattices for Iterative Motion Planning on Unmanned Ground Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Multimodal estimation and communication of latent semantic knowledge for robust execution of robot instructions.
Int. J. Robotics Res., 2020

2018
Efficient grounding of abstract spatial concepts for natural language interaction with robot platforms.
Int. J. Robotics Res., 2018

Real-Time Human-Robot Communication for Manipulation Tasks in Partially Observed Environments.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

2017
Real-time natural language corrections for assistive robotic manipulators.
Int. J. Robotics Res., 2017

Robot-Initiated Specification Repair through Grounded Language Interaction.
CoRR, 2017

Contextual awareness: Understanding monologic natural language instructions for autonomous robots.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Grounding Abstract Spatial Concepts for Language Interaction with Robots.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

A model for verifiable grounding and execution of complex natural language instructions.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016


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