Willson Amalraj Arokiasami
Willson Amalraj Arokiasami
Senior Research Scientist at NCS Singapore Pte Ltd
Verified email at
Cited by
Cited by
Decomposition-based multi-objective evolutionary algorithm for vehicle routing problem with stochastic demands
SB Gee, WA Arokiasami, J Jiang, KC Tan
Soft Computing 20 (9), 3443-3453, 2016
Interoperable multi-agent framework for unmanned aerial/ground vehicles: towards robot autonomy
WA Arokiasami, P Vadakkepat, KC Tan, D Srinivasan
Complex & Intelligent Systems 2, 45-59, 2016
A multi-agent approach for service restoration with distributed generation
A Sharma, WA Arokiasami, D Srinivasan
2013 IEEE Innovative smart grid technologies-Asia (ISGT Asia), 1-6, 2013
Solving vehicle routing problem with stochastic demand using multi-objective evolutionary algorithm
J Jiang, SB Gee, WA Arokiasami, KC Tan
2014 International Conference on Soft Computing and Machine Intelligence …, 2014
Fuzzy logic controllers for navigation and control of AR. Drone using microsoft kinect
P Vadakkepat, TC Chong, WA Arokiasami, X Weinan
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 856-863, 2016
Real-time Path-generation and Path-following using an Interoperable Multi-Agent Framework
WA Arokiasami, P Vadakkepat, KC Tan, D Srinivasan
Unmanned Systems 6 (4), 231-250, 0
Vector directed path generation and tracking for autonomous unmanned aerial/ground vehicles
WA Arokiasami, P Vadakkepať, KC Tan, D Srinivasan
2016 IEEE Congress on Evolutionary Computation (CEC), 1375-1381, 2016
Impact of the length of optical flow vectors in estimating time-to-contact an obstacle
WA Arokiasami, TK Chen, D Srinivasan, P Vadakkepat
Proceedings of the 18th Asia Pacific Symposium on Intelligent and …, 2015
Wingbeat Generation for a 15 DOF Flexible-Wing Aerial Vehicle Using Cosine Wave Functions
WA Arokiasami, P Vadakkepat, AA Mamun
Unmanned Systems 5 (02), 115-127, 2017
Designing a multi-agent framework for unmanned aerial/ground vehicles
WA Arokiasami
PQDT-Global, 2016
The system can't perform the operation now. Try again later.
Articles 1–10