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
Authors
- Rui Q. Yang (ORCID: https://orcid.org/0000-0002-4504-4897)
- Kenji Tei (ORCID: https://orcid.org/0000-0003-1106-1709)
- Nianyu Li (ORCID: https://orcid.org/0000-0001-8960-7770)
- Mingyue Zhang (ORCID: https://orcid.org/0000-0002-9769-8833)
- Jinyu Cai (ORCID: https://orcid.org/0009-0000-9715-8143)
- Jialong Li (ORCID: https://orcid.org/0000-0003-4327-1807)
Institutions
- Tokyo Institute of Technology (JP)
- Southwest University (CN)
- Waseda University (JP)
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