Overcooked Plus: A Comprehensive Cooking Scenario TestBed for Enhancing the Evaluation of Autonomous Planning Algorithms

This paper introduces Overcooked Plus, a testbed designed to evaluate the performance of autonomous systems in complex and dynamic cooking scenarios. In these scenarios, single or multiple-agent systems must complete various cooking tasks such as fetching ingredients, handling kitchen utensils, chop-ping, cooking, and dishwashing. The testbed aims to offer a customizable platform that supports compre-hensive evaluation of planning algorithms and adaptive behaviors within autonomous systems. Key features of Overcooked Plus include controllable task difficulty, complex task constraints, multitask planning, dynamic environments, a graphical interface for human-on-the-loop, and a communication interface for multiagent systems. The paper details the system architecture and implementation of Overcooked Plus, and presents experimental setups to demonstrate its usage. GitHub: github.com/545659928/Overcooked-Plus

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Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1109/acsos-c63493.2024.00046
Citations
1
Primary Topic
Optimization and Mathematical Programming
Type
article
Field-Weighted Citation Impact
0.33
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article

Overcooked Plus: A Comprehensive Cooking Scenario TestBed for Enhancing the Evaluation of Autonomous Planning Algorithms

Rui Q. Yang, Kenji Tei, Nianyu Li, Mingyue Zhang et al.
1 citations
Optimization and Mathematical Programming
0.33
article

Overcooked Plus: A Comprehensive Cooking Scenario TestBed for Enhancing the Evaluation of Autonomous Planning Algorithms

Rui Q. Yang, Kenji Tei, Nianyu Li, Mingyue Zhang, Jinyu Cai, Jialong Li
article en
1 citations

Abstract

This paper introduces Overcooked Plus, a testbed designed to evaluate the performance of autonomous systems in complex and dynamic cooking scenarios. In these scenarios, single or multiple-agent systems must complete various cooking tasks such as fetching ingredients, handling kitchen utensils, chop-ping, cooking, and dishwashing. The testbed aims to offer a customizable platform that supports compre-hensive evaluation of planning algorithms and adaptive behaviors within autonomous systems. Key features of Overcooked Plus include controllable task difficulty, complex task constraints, multitask planning, dynamic environments, a graphical interface for human-on-the-loop, and a communication interface for multiagent systems. The paper details the system architecture and implementation of Overcooked Plus, and presents experimental setups to demonstrate its usage. GitHub: github.com/545659928/Overcooked-Plus

Tokyo Institute of Technology (JP), Southwest University (CN), Waseda University (JP)
Zero hunger
Openalex Percentile: Top 39%
Optimization and Mathematical Programming
0.33
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Overcooked Plus: A Comprehensive Cooking Scenario TestBed for Enhancing the Evaluation of Autonomous Planning Algorithms — Rui Q. Yang, Kenji Tei, et al. · (2024) | TGRS Research Map | TGRS