Combined heuristic task and motion planning for bi-manual robots
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10514-018-9817-3.pdf
Reference43 articles.
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2. Akbari, A., Gillani, M., & Rosell, J. (2015b). Task and motion planning using physics-based reasoning. In IEEE international conference on emerging technologies and factory automation.
3. Akbari, A., Gillani, M., & Rosell, J. (2016). Task planning using physics-based heuristics on manipulation actions. In IEEE international conference on emerging technologies and factory automation.
4. Azizi, V., Kimmel, A., Bekris, K., & Kapadia, M. (2017). Geometric reachability analysis for grasp planning in cluttered scenes for varying end-effectors. In 2017 13th IEEE conference on automation science and engineering (CASE), IEEE (pp. 764–769).
5. Blum, A. L., & Furst, M. L. (1997). Fast planning through planning graph analysis. Artificial intelligence, 90(1), 281–300.
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