Summary In this paper, we propose a new solution to the motion planning and control problem for a team of carlike mobile robots traversing in an extended dynamic environment. Motivated by the emerging necessity to avoid or defend against a swarm of autonomous robots, the wide array of obstacles in this dynamic environment for the first time includes a swarm of boids governed separately by a system of ordinary differential equations. The swarm exhibits collective emergent behaviors, whereas the carlike mobile robots safely navigate to designated targets. We present a set of nonlinear continuous controllers for obstacle, collision, and swarm avoidance. The controllers provide a collision‐free trajectory within a constrained workspace cluttered with various fixed and moving obstacles while satisfying the nonholonomic and kinodynamic constraints associated with the vehicular robotic system. An advantage of the proposed method is the ease in deriving the acceleration‐based control laws from the Lyapunov‐based control scheme. The effectiveness of the control laws is demonstrated via computer simulations. The novelty of this paper lies in the simplicity of the controllers and the ease in the treatment of an extended dynamic environment, which includes swarm avoidance.

The paper heralds a new pedagogical model known as the Science Teachers Accelerated Programme as a platform to upgrade the qualifications of secondary school science teachers throughout the Pacific region. Based on a tripartite partnership between a higher education provider, a regional government and a cohort of science teachers, the model offers an accelerated Bachelor's degree programme to the cohort. Using this tripartite partnership model, a pilot of the Science Teachers Accelerated Programme is underway between the University of the South Pacific, the Government of Samoa and a cohort of science teachers in Samoa. The underpinning activities garnering social and academic integration are highlighted with analytics. The strengths, challenges and opportunities of the new, cohort-taught science model are presented with relevant diagnoses, interventions and adaptive works carried out in the first half of the delivery plan. While the Government of Samoa is considering the implementation of a second cycle, the University of the South Pacific is considering extending the model to other regional countries.

In this paper, we look into the dynamic motion planning and control of an unmanned aerial vehicle, namely, the quadrotor, governed by its dynamical equations. It is shown for the first time that the Direct or the Second Method of Lyapunov is an effective tool to derive a set of continuous nonlinear control laws that not only provide smooth trajectories from a designated initial position to a designated target, but also continuously minimise the roll and pitch of the quadrotor en route to its targets. The latter successfully addresses the challenging problem of a quadrotor autonomously transporting valuable and fragile payloads safely to the designated target. Computer simulations are used to illustrate the effectiveness of the proposed control laws. INDEX TERMS Artificial potential field, Lyapunov-based control scheme, quadrotor, stability, UAV.

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