@article{MAKHILLJEAS2019141918484,
    title = {2-D Terrain Chart Mapping for a Navigation Robot using
Tactile Sensor for System Modelling},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {19},
    pages = {7187-7192},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.7187.7192},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.7187.7192},
    author = {R. Gomathi and},
    keywords = {Mylar,NavBot,robot,tactile,terrain,inter-disciplinary},
    abstract = {Robotics is a vast, inter-disciplinary field in which various principles and methods of control system
are employed for basic operation and effectiveness of control. This study presents the modelling of a
navigation robot set in an adaptive feedback control system. The simulation of control system model involved
the two-dimensional terrain mapping of a certain region with the aid of a tactile sensor. The tactile sensor
designed as a model for the calculation was based on the mechanism of a TekScan ForceFlex Sensor A201
which has a linear pressure output for the force applied and uses Mylar as a substrate. The basic model aims
to utilize the pressure difference to calculate the height difference between the ground level and the test
material, thus, enabling the charting of a suitable terrain map of a geographical region. In this model, fuzzy logic
has been used to create a tentative map of the relationship between pressure-voltage difference and height and
adaptive neuro fuzzy inference system in particular has been used to validate the model. With a testing error
of 0.0028852, results indicate that the model was able to capture the input-output mapping well.}
    }