14 citations · 30 across the 4 of their papers we have counts for
4 papers
Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?
Yongchao Chen, Jacob Arkin, Yang Zhang +2
A flurry of recent work has demonstrated that pre-trained large language models (LLMs) can be effective task planners for a variety of single-robot tasks. The planning performance…
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
Yongchao Chen, Jacob Arkin, Charles Dawson +3
For effective human-robot interaction, robots need to understand, plan, and execute complex, long-horizon tasks described by natural language. Recent advances in large language mod…
Resolving Ambiguity via Dialogue to Correct Unsynthesizable Controllers for Free-Flying Robots
Joshua Rosser, Jacob Arkin, Siddharth Patki +1
In situations such as habitat construction, station inspection, or cooperative exploration, incorrect assumptions about the environment or task across the team could lead to missio…
Robot-Initiated Specification Repair through Grounded Language Interaction
Adrian Boteanu, Jacob Arkin, Siddharth Patki +2
Robots are required to execute increasingly complex instructions in dynamic environments, which can lead to a disconnect between the user's intent and the robot's representation of…