Assisting humans in collaborative tasks is a promising application for robots, however effective assistance remains challenging. In this paper, we propose method providing intuitive robotic based on learning from human natural limb coordination. To encode coupling between multiple-limb motions, use novel interval type-2 (IT2) polynomial fuzzy inference modeling trajectory adaptation. The associ...

In this paper, we propose the genetic design of fuzzy neural networks with multi-output based on interval type-2 fuzzy set (IT2FSFNNm) for pattern recognition. IT2FSFNNm is the networks of combination between the fuzzy neural networks (FNNs) and interval type-2 fuzzy set with uncertainty. The premise part of the networks is composed of the fuzzy partition of respective input spaces and the cons...

Abstract Type-2 fuzzy sets (T2FSs) can deal with higher modeling and uncertainties which exist in the real-world application, specifically control systems. Particularly climate changes are always uncertain thus, type-2 controller is an effective system to handle those situations. Polyhouse a methodology used cultivate plants. It breaks seasonal hurdle of formulation it also suitable for conflic...