Journal
FRONTIERS IN ROBOTICS AND AI
Volume 8, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/frobt.2021.637888
Keywords
task and motion planning; integrative AI; knowledge representation; automated reasoning; industrial applications of robotics
Categories
Funding
- Swedish Knowledge Foundation (KKS) under the Semantic Robots research profile
- Vinnova under project AutoBoomer
- EU Horizon 2020 project AI4EU [825619]
- Vinnova under project AutoHauler
Ask authors/readers for more resources
In the area of Combined Task and Motion Planning (TAMP), there is no one-size-fits-all solution due to the various aspects of the domain and operational requirements. Trade-offs often have to be made to build an effective system. This article proposes five research questions that need to be answered to solve real-world problems involving TAMP, and provides guidance for designing adequate and effective solutions based on decisions and trade-offs made with respect to these questions.
Combined Task and Motion Planning (TAMP) is an area where no one-fits-all solution can exist. Many aspects of the domain, as well as operational requirements, have an effect on how algorithms and representations are designed. Frequently, trade-offs have to be made to build a system that is effective. We propose five research questions that we believe need to be answered to solve real-world problems that involve combined TAMP. We show which decisions and trade-offs should be made with respect to these research questions, and illustrate these on examples of existing application domains. By doing so, this article aims to provide a guideline for designing combined TAMP solutions that are adequate and effective in the target scenario.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available