Makale detayı · 2016
A systematic analysis of levels of integration between high-level task planning and low-level feasibility checks
- Yıl
- 2016
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı AI Communications
- Katalog eşleşmesi (ISSN) AI Communications
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
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).
Konular
Atıflar
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33 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 22 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- 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