Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents

3 May 2023

Papers citing "Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents"

8 / 8 papers shown

Title
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability Zishen Wan Jiayi Qian Yuhang Du Jason J. Jabbour Yilun Du Yang Katie Zhao A. Raychowdhury Tushar Krishna Vijay Janapa Reddi LM&Ro 91 0 0 26 Apr 2025
Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvements I. Isozaki Manil Shrestha Rick Console Edward Kim ELM 65 4 0 24 Feb 2025
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation Jie Liu Pan Zhou Yingjun Du Ah-Hwee Tan Cees G. M. Snoek J. Sonke E. Gavves LLMAG 29 2 0 07 Nov 2024
Building Cooperative Embodied Agents Modularly with Large Language Models Hongxin Zhang Weihua Du Jiaming Shan Qinhong Zhou Yilun Du J. Tenenbaum Tianmin Shu Chuang Gan LLMAG LM&Ro 59 157 0 05 Jul 2023
FILM: Following Instructions in Language with Modular Methods So Yeon Min Devendra Singh Chaplot Pradeep Ravikumar Yonatan Bisk Ruslan Salakhutdinov LM&Ro 214 159 0 12 Oct 2021
Skill Induction and Planning with Latent Language Pratyusha Sharma Antonio Torralba Jacob Andreas LM&Ro 202 108 0 04 Oct 2021
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution Valts Blukis Chris Paxton D. Fox Animesh Garg Yoav Artzi LM&Ro 212 134 0 12 Jul 2021
Language-Conditioned Imitation Learning for Robot Manipulation Tasks Simon Stepputtis Joseph Campbell Mariano Phielipp Stefan Lee Chitta Baral H. B. Amor LM&Ro 124 193 0 22 Oct 2020