Robotic systems have become an integral part of industrial automation and rapidly finding their way into the concept of futuristic, intelligent spaces, i.e., smart homes, assistive rehabilitation, and healthcare. As such, they have been a topic of great interest for researchers from control theory, mechanics, electronics, and system design. Usually, robotic systems have redundant actuators, giving them an extra degree of freedom to meet the additional design requirement. However, solving a nonlinear redundant system for an optimal solution is a computationally expensive task. This talk describes novel nature-inspired metaheuristic techniques to solve the nonlinear control problem in a num...