Application of Fuzzy Techniques in Human-Robot Interaction - A Review
Kuo, I-Han; Jayawardena, Chandimal
Citation:Kuo, I.-Han, and Jayawardena, Chandimal. (2014). Application of Fuzzy Techniques in Human-Robot Interaction - A Review. In In M. Beetz et al (Eds.), Lecture Notes in Computer Science [Series]. Social Robotics. Springer International Publishing.(Eds.), 8755: (pp.249-255). 9783319119731. NOTE: ABSTRACT ONLY
Permanent link to Research Bank record:https://hdl.handle.net/10652/2956
Targeting research challenges in Socially Assistive Robotics (SAR), this paper provides a review of previous work that describe robot or non-robot systems that use fuzzy logic to infer high-level human intention or activities. In comparison to statistical and probabilistic approaches which are very popular in SAR and Human-Robot Interaction (HRI), this review focuses on fuzzy logic-based systems. As fuzzy logic has already been widely used in almost all research areas in robotics, this review does not consider systems that uses fuzzy logic for sensing, modelling or planning tasks except for inferencing or reasoning tasks. From this review, it was found minimal research has been done in this special research niche and is deemed to gain more attention as the research communities shifts from sensing toward modelling and inferencing in the loop of Sense-Model-Plan-Act or Sense-Plan-Act.