The challenge of interdisciplinary collaboration in addressing the social determinants

The importance of professional disciplines working together to address the critical social and health issues facing society today cannot be overstated. Policy makers, service providers and researchers have long been calling for greater interdisciplinary collaboration. Despite this there has been little systemic analysis of the constraints involved in such collaboration. Far too often disciplines continue to work in silos. This paper aims to analyse the barriers to interdisciplinary collaboration through a case study of the relationship between social work and public health. These two disciplines have a lot more in common than might first appear. There is real potential for social work and public health to work together and enhance each other's efforts to address their common goal of greater social equality. However, this will require a genuine commitment from both disciplines to develop a shared political analysis, common language and a framework for action, which utilises their respective strengths.

Multi-robot control in highly dynamic, competitive environments

The control and coordination of multiple mobile robots is a challenging task; particularly in environments with multiple, rapidly moving obstacles and agents. This paper describes a robust approach to multi-robot control, where robustness is gained from competency at every layer of robot control. The layers are: (i) a central coordination system (MAPS), (ii) an action system (AES), (iii) a navigation module, and (iv) a low level dynamic motion control system. The multi-robot coordination system assigns each robot a role and a sub-goal. Each robot’s action execution system then assumes the assigned role and attempts to achieve the specified sub-goal. The robot’s navigation system directs the robot to specific goal locations while ensuring that the robot avoids any obstacles. The motion system maps the heading and speed information from the navigation system to force-constrained motion. This multi-robot system has been extensively tested and applied in the robot soccer domain using both centralized and distributed coordination.