Abstract
Planning and scheduling problems have become a promising area of research in the field of artificial intelligence (AI). In order to provide collision avoidance and enable successful completion of the task, the robot requires sophisticated knowledge about the environment for processing the tasks or methods. Knowledge representation and reasoning (KR & R) techniques provide such a level of knowledge to perceive the task environment. These techniques include description logic (DL) and ontology-based approaches. DL provides low-level knowledge to describe an environment. With advances in KR using ontology, high-level knowledge domain descriptions can be obtained more effectively. Knowledge representation techniques aid in temporal, ontological and spatial reasoning in a modeled environment. In this chapter, low-level KR & R techniques for task planning are summarized.
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References
Alatartsev, Sergey, Sebastian Stellmacher, and Frank Ortmeier. 2015. Robotic task sequencing problem: a survey. Journal of intelligent & robotic systems 80 (2): 279.
Baader, Franz. 2003. The description logic handbook: theory, implementation and applications. Cambridge: Cambridge university press.
Beetz, Michael, Moritz Tenorth, and Jan Winkler. Open-ease. 2015. In 2015 IEEE international conference on robotics and automation (ICRA),1983–1990. New York: IEEE.
Cho, Joonmyun , Hyun Kim, and Joochan Sohn. 2010. Implementing automated robot task planning and execution based on description logic kb. Simulation, modeling, and programming for autonomous robots, 217–228.
He, Keliang, Morteza Lahijanian, Lydia E Kavraki, and Moshe Y Vardi. Towards manipulation planning with temporal logic specifications. 2015. In 2015 IEEE international conference on robotics and automation (ICRA), 346–352. New York: IEEE.
Kress-Gazit, H, Georgios E Fainekos, and George J Pappas. 2005. Temporal logic motion planning for mobile robots. IEEE transactions on robotics 21(5):2020–2025.
Manjunath, T.C., and C. Ardil. 2008. Design of an artificial intelligence based automatic task planner or a robotic system. International journal of computer and information science and engineering 2: 1–6.
Milicic, Maja. 2008. Action, time and space in description logics.
Plaku, Erion, and Sertac Karaman. 2016. Motion planning with temporal-logic specifications: progress and challenges. AI communications 29 (1): 151–162.
Srivastava, Siddharth, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart Russell, and Pieter Abbeel. 2014. Combined task and motion planning through an extensible planner-independent interface layer. In 2014 IEEE international conference on robotics and automation (ICRA), 639–646. New York: IEEE.
Stenmark, Maj, and Jacek Malec. 2015. Knowledge-based instruction of manipulation tasks for industrial robotics. Robotics and computer-integrated manufacturing 33: 56–67.
Tenorth, Moritz, and Michael Beetz. 2017. Representations for robot knowledge in the knowrob framework. Artificial intelligence 247: 151–169.
Tenorth, Moritz, Alexander Clifford Perzylo, Reinhard Lafrenz, and Michael Beetz. 2013. Representation and exchange of knowledge about actions, objects, and environments in the roboearth framework. IEEE transactions on automation science and engineering, 10 (3): 643–651.
Wu, Xiuguo, Guangzhou Zeng, Fangxi Han, and Rui Wang. 2007. Goal representation and reasoning based on description logics (dls). In International conference on intelligent systems and knowledge engineering, ISKE.
Zhang, Shiqi, Mohan Sridharan, Michael Gelfond, and Jeremy Wyatt. 2014. Towards an architecture for knowledge representation and reasoning in robotics. In International conference on social robotics, 400–410. Berlin: Springer.
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Gayathri, R., Uma, V. (2019). A Review of Description Logic-Based Techniques for Robot Task Planning. In: Krishna, A., Srikantaiah, K., Naveena, C. (eds) Integrated Intelligent Computing, Communication and Security. Studies in Computational Intelligence, vol 771. Springer, Singapore. https://doi.org/10.1007/978-981-10-8797-4_11
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DOI: https://doi.org/10.1007/978-981-10-8797-4_11
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