![]() ![]() But before I do, let’s see how we change the colour of a swim lane and its associated bars. Go into edit mode of the macro, click on the header for the given swim lane. ![]() ![]() I will then add those project bars to the appropriate swim lane. I am going to add a name, description and link to the project page for each of the projects in our programme. ![]() Now link up the bars to project documentation or other Confluence pages by linking to existing pages, or create new pages directly from this pop-up. This is a really useful feature, especially when your team just want a quick overview of what the bar represents, but don’t want to jump into the project documentation. Similarly, you can give the give the bar a description. Click on a bar and you’ll see the pop-over allowing you to name the bar. Go back into edit mode of the page and double click on the macro to edit it. “Dependencies” to display key periods that the team need to be aware of, such as client holidays or events such as Christmas.“Pipeline” projects that are likely to happen but yet to be formalised approved by the client.“Approved” for all projects that have been approved by the client.In our example we are going to create 3 swim lanes: With a click and drag gesture of your mouse or trackpad you can drag the bars up and down the timeline, drag the bars into other swim lanes, and modify the bars duration by dragging out their start and end dates. When you’re in the edit view of the roadmap macro it is super simple to move the bars around. Set the displayed start and end date of the roadmap.Toggle between weeks or months in which your roadmap will be displayed.Create markers to display key milestones or dates.Add new bars which you can then drag across and into the swim lanes.Add a lane to break up the view into discrete swim lanes.You will now see the default view of the Roadmap planner macro for you to edit. In macro modal screen, search for ‘roadmap planner’ macro then select it. Pretty sweet hey!Ĭreate a new page and call it ‘Programme timeline’ then from the macro dropdown select ‘other macros’. In this post we’re going to create a visual roadmap for this programme of work and here’s what it’s going to look like. In the last the post we looked at how to create a summary page for a programme of work using the page properties and pages properties report macros.īelow is an image of the summary page that was created. Let’s have a look at what we’re going to build. Once you have read this post you’ll be on your way to dominating the road-mapping game :). This roadmap will give your team visibility over their current and future work streams, dependencies on internal or external events and deep linking to the confluence pages documenting the individual projects in detail. The paper concludes with tabular data and charts comparing the frequency of individual navigational strategies which can be used for specific application in robotics.In this post, we’ll look at how to create an awesome roadmap using Confluence’s road mapping planner macro. Hence, reactive approaches are more popular and widely used for path planning of mobile robot. It is also observed that the reactive approaches are used to improve the performance of the classical approaches as a hybrid algorithm. The navigation over static and dynamic condition is analyzed (for single and multiple robot systems) and it has been observed that the reactive approaches are more robust and perform well in all terrain when compared to classical approaches. The classical approaches such as cell decomposition (CD), roadmap approach (RA), artificial potential field (APF) reactive approaches such as genetic algorithm (GA), fuzzy logic (FL), neural network (NN), firefly algorithm (FA), particle swarm optimization (PSO), ant colony optimization (ACO), bacterial foraging optimization (BFO), artificial bee colony (ABC), cuckoo search (CS), shuffled frog leaping algorithm (SFLA) and other miscellaneous algorithms (OMA) are considered for study. The step by step investigations of classical and reactive approaches are made here to understand the development of path planning strategies in various environmental conditions and to identify research gap. This paper presents the rigorous study of mobile robot navigation techniques used so far. ![]()
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