Article detail · 2016
A systematic analysis of levels of integration between high-level task planning and low-level feasibility checks
- Year
- 2016
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue AI COMMUNICATIONS
- Catalog match (ISSN) AI Communications
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
We provide a systematic analysis of levels of integration between discrete high-level reasoning and continuous low-level feasibility checks to address hybrid planning problems in robotic applications. We identify four distinct strategies for such an integration: (i) low-level checks are done for al l possible cases in advance and the results are used during plan generation; (ii) low-level checks are done exactly when they are needed during the search for a plan; (iii) low-level checks are done after a plan is computed, and if the plan is found infeasible then a new plan is computed; (iv) similar to the previous strategy but the results of previous low-level checks are used during computation of a new plan. We analyze the usefulness of these strategies and their combinations by experiments on hybrid planning problems in different robotic application domains, in terms of computational efficiency and plan quality (relative to its feasibility).
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
32 citations
OpenAlex cited_by_count (cache / database)
22 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Applications of ASP in Robotics 2018
- Applications of ASP in Robotics 2018
- Applications of ASP in Robotics 2018
- Finding optimal feasible global plans for multiple teams of heterogeneous robots using hybrid reasoning: an application to cognitive factories 2019
- Finding optimal feasible global plans for multiple teams of heterogeneous robots using hybrid reasoning: an application to cognitive factories 2019
- Finding optimal feasible global plans for multiple teams of heterogeneous robots using hybrid reasoning: an application to cognitive factories 2018
- Cognitive factories with multiple teams of heterogeneous robots: Hybrid reasoning for optimal feasible global plans 2014
- Hybrid conditional planning using answer set programming 2017
- Hybrid conditional planning for robotic applications 2021
- Hybrid conditional planning for robotic applications 2021