TY - GEN
T1 - An Enhanced Experimental Study of GPS Based Path Tracking Non-holonomic Robot with SAWOA Algorithm
AU - Mukherjee, Subhradip
AU - Kumar, R.
AU - Borah, Siddhanta
AU - Bhattacharjee, Rituraj
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - In this research work a path following, obstacle avoiding quad wheel robot has been implemented using one 32-bit ARM processor (LPC2148 Board), one Global Positioning System (GPS) sensor module (L80) and one Ultrasonic (HC SR04) sensor module. A unique path-navigation algorithm named Smart Algorithm with Obstacle Avoidance (SAWOA) has been introduced offering higher speed and optimum path coverage compared to the existing algorithms. Several comparative studies have been performed to showcase and prove the genuineness and efficacy of the algorithm. Effective implementation of the algorithm has been realized using MATLAB and C programming language. Different results obtained in simulation prove stability and efficiency of the robot. Additionally, a real time experimental setup has been realized in laboratory environment to provide credible results regarding trajectory of the robot as per SAWOA.
AB - In this research work a path following, obstacle avoiding quad wheel robot has been implemented using one 32-bit ARM processor (LPC2148 Board), one Global Positioning System (GPS) sensor module (L80) and one Ultrasonic (HC SR04) sensor module. A unique path-navigation algorithm named Smart Algorithm with Obstacle Avoidance (SAWOA) has been introduced offering higher speed and optimum path coverage compared to the existing algorithms. Several comparative studies have been performed to showcase and prove the genuineness and efficacy of the algorithm. Effective implementation of the algorithm has been realized using MATLAB and C programming language. Different results obtained in simulation prove stability and efficiency of the robot. Additionally, a real time experimental setup has been realized in laboratory environment to provide credible results regarding trajectory of the robot as per SAWOA.
UR - https://www.scopus.com/pages/publications/85089775335
UR - https://www.scopus.com/pages/publications/85089775335#tab=citedBy
U2 - 10.1109/ICCSEA49143.2020.9132956
DO - 10.1109/ICCSEA49143.2020.9132956
M3 - Conference contribution
AN - SCOPUS:85089775335
T3 - 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020
BT - 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020
Y2 - 13 March 2020 through 14 March 2020
ER -