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LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied
  Agents

LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents

13 February 2024
Jae-Woo Choi
Youngwoo Yoon
Hyobin Ong
Jaehong Kim
Minsu Jang
ArXivPDFHTML

Papers citing "LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents"

11 / 11 papers shown
Title
PIPA: A Unified Evaluation Protocol for Diagnosing Interactive Planning Agents
PIPA: A Unified Evaluation Protocol for Diagnosing Interactive Planning Agents
Takyoung Kim
Janvijay Singh
Shuhaib Mehri
Emre Can Acikgoz
Sagnik Mukherjee
Nimet Beyza Bozdag
Sumuk Shashidhar
Gökhan Tür
Dilek Hakkani-Tür
LLMAG
25
0
0
02 May 2025
World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning
Siyin Wang
Zhaoye Fei
Qinyuan Cheng
S. Zhang
Panpan Cai
Jinlan Fu
Xipeng Qiu
48
1
0
13 Mar 2025
ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models
ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models
Lingfeng Zhang
Yuening Wang
Hongjian Gu
Atia Hamidizadeh
Zhanguang Zhang
...
Tongtong Cao
Yuzheng Zhuang
Yingxue Zhang
Jianye Hao
Jianye Hao
LM&Ro
34
0
0
02 Oct 2024
Aligning Cyber Space with Physical World: A Comprehensive Survey on
  Embodied AI
Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI
Y. Liu
Weixing Chen
Yongjie Bai
Xiaodan Liang
Guanbin Li
Wen Gao
Liang Lin
LM&Ro
SyDa
AI4CE
48
27
0
09 Jul 2024
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
64
38
0
23 May 2024
Socratic Planner: Self-QA-Based Zero-Shot Planning for Embodied Instruction Following
Socratic Planner: Self-QA-Based Zero-Shot Planning for Embodied Instruction Following
Suyeon Shin
Sujin Jeon
Junghyun Kim
Gi-Cheon Kang
Byoung-Tak Zhang
LLMAG
34
1
0
21 Apr 2024
Plan, Eliminate, and Track -- Language Models are Good Teachers for
  Embodied Agents
Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents
Yu-Chih Chen
So Yeon Min
Chase Davis
Ruslan Salakhutdinov
A. Azaria
Yuan-Fang Li
Tom Michael Mitchell
A. Bovik
LM&Ro
LLMAG
70
26
0
03 May 2023
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
223
2,413
0
06 Oct 2022
ProgPrompt: Generating Situated Robot Task Plans using Large Language
  Models
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh
Valts Blukis
Arsalan Mousavian
Ankit Goyal
Danfei Xu
Jonathan Tremblay
D. Fox
Jesse Thomason
Animesh Garg
LM&Ro
LLMAG
112
616
0
22 Sep 2022
Open-vocabulary Queryable Scene Representations for Real World Planning
Open-vocabulary Queryable Scene Representations for Real World Planning
Boyuan Chen
F. Xia
Brian Ichter
Kanishka Rao
K. Gopalakrishnan
Michael S. Ryoo
Austin Stone
Daniel Kappler
LM&Ro
144
179
0
20 Sep 2022
Watch-And-Help: A Challenge for Social Perception and Human-AI
  Collaboration
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
Xavier Puig
Tianmin Shu
Shuang Li
Zilin Wang
Yuan-Hong Liao
J. Tenenbaum
Sanja Fidler
Antonio Torralba
LM&Ro
94
123
0
19 Oct 2020
1