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@article{189430,
        author = {Dr.Saravanan K K and Satheeshkumar K},
        title = {Improved Machine Vision by Image processing for Design of ANFIS Based Adaptive Gripper},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {6917-6923},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189430},
        abstract = {New flexible adaptive grippers need to have an ability to adapt, detect and recognize objects in their environments. Passively compliant under actuated mechanisms are one way of obtaining a finger which could accommodate any irregular and unpredictable grasping object. The under actuation can morph the shapes of a robotic finger to accommodate different objects. This paper proposes a novel design using ANFIS strategy for controlling the input displacement of a new adaptive-compliant gripper. This design of the gripper has embedded sensors as part of its structure. The use of embedded sensors in a robot gripper gives the control system the ability to recognize particular shapes of the grasping objects and to control input displacement of the gripper. The simulation results presented in this paper show the effectiveness of the developed method.},
        keywords = {Sensors, compliant gripper, adaptive gripper, ANFIS controller},
        month = {December},
        }