robotics

I am kicking off a PowerShell script with UiPath. I need to pass an argument in, from UiPath. Firstly is this possible and secondly does anyone have an example of this? Not sure what the syntax is for this in the PowerShell script Is it possible to pass arguments from UiPath to the terminal. Your PowerShell script needs to be saved in a txt file.(PSSampleParameters.txt) Code sample(PSSampleParameters.txt): Param( [string]$computerName ) [System.Reflection.Assembly]::LoadWithPartialName("System.Windows.Forms") [System.Windows.Forms.MessageBox]::Show($computerName) Add a "Read Text file"

When performing reference resolution on predicates describing the semantics of dialogue expressions, I need to be able to allow for partial unification due to working in an open world. For example, consider the following scenario: There is a blue box in front of you. We refer to this blue box using the id 3 . A set of predicates box(x)^blue(x) can easily resolve to the blue box you know about. Making this query will return 3 A set of predicates ball(x)^yellow(x) will not resolve to anything. This is fine. But now consider ball(x)^yellow(x)^box(y)^blue(y)^behind(x,y) that is, the yellow ball

what approach would you recommend for finding obstacles in a 2D image? Here are some key points I came up with till now: I doubt I can use object recognition based on "database of obstacles" search, since I don't know what might the obstruction look like. I assume color recognition might be problematic if the path does not differ a lot from the object itself. Possibly, adding one more camera and computing a 3D image (like a Kinect does) would work, but that would not run as smooth as I require. To illustrate the problem; robot can ride either left or right side of the pavement. In the

you can get all the details about the problem from this pdf document: www.shaastra.org/2013/media/events/70/Tab/422/Modern_Warfare_ps_v1.pdf how to recognize a zebra crossing from top view using opencv ?? it is not a straight zebra crossing it has some twists and turns i have some ideas, 1. parallel line detection but the available techniques only works to find straight parallel not the ones that has curve in it. 2. template matching to match a template of back to back white and black stripes but it becomes tedious since i cant find any pattern matching techniques with scaling and rotation. in

I am using a kalman filter (constant velocity model) to track postion and velocity of an object. I measure x,y of the object and track x,y,vx,vy . Which works but if a add gausian noise of +- 20 mm to the sensor readings x,y,vx,vy fluctuates even though the point is not moving just noise. For location that is good enough for my needs but velocity changes when the point is stationary and that is causing problems with my object speed calculations. Is there a way around this problem? also if switching to constant acceleration model improve on this? I am tracking a robot via a camera. I am using