ST Robotics
News and views from ST Robotics (no connection with strobotix.com who are using our name for their blog).
Thursday, 28 May 2020
Tuesday, 18 February 2020
Thursday, 15 November 2018
Sneak peak: automatic position learning using vision
Normally with RoboForth positions are programmed using a teach pad. In
JOG mode the user moves the robot in increments over and then down onto
the object to be picked up, maybe making small adjustments in X,Y,Z and
gripper angle then clicks the learn button on screen.
ST Robotics have been working on using a camera to locate an object and send coordinates to the robot controller. This includes the correct angle for the gripper. The software then learns the position as a PLACE name. The actual coordinates of the object are not of interest. The system can return to the learned position under program control.
If the position changes it may be quickly re-learned using the same vision system.
The process of learning the position involves moving the robot with camera over the object until it is in the viewport of the vision system. Rather than use the teach pad a joystick is employed which allows for continuous motion in straight lines in X,Y and Z directions.
The picture above shows the development setup. Please see the video here:
https://www.youtube.com/watch?v=KxcdBjwoNvQ
Ultimately it will be possible to learn many different positions and have different objects.
ST Robotics have been working on using a camera to locate an object and send coordinates to the robot controller. This includes the correct angle for the gripper. The software then learns the position as a PLACE name. The actual coordinates of the object are not of interest. The system can return to the learned position under program control.
If the position changes it may be quickly re-learned using the same vision system.
The process of learning the position involves moving the robot with camera over the object until it is in the viewport of the vision system. Rather than use the teach pad a joystick is employed which allows for continuous motion in straight lines in X,Y and Z directions.
The picture above shows the development setup. Please see the video here:
https://www.youtube.com/watch?v=KxcdBjwoNvQ
Ultimately it will be possible to learn many different positions and have different objects.
Monday, 5 February 2018
Talk to your robot!
Control of an ST robot is a man-machine conversation so why not use speech?
In reality you really need text to program anything complex but once programmed you could easily have a few voice commands. The speech engine we use is like the macro buttons on RobWin. You can say a single word but have the system send a whole string to the robot. Do see it in action:
https://www.youtube.com/watch?v=RTh_0ZR7-aE&t=1s
Control of an ST robot is a man-machine conversation so why not use speech?
In reality you really need text to program anything complex but once programmed you could easily have a few voice commands. The speech engine we use is like the macro buttons on RobWin. You can say a single word but have the system send a whole string to the robot. Do see it in action:
https://www.youtube.com/watch?v=RTh_0ZR7-aE&t=1s
Wednesday, 6 December 2017
Sunday, 5 March 2017
We now have JERK in the software. Jerk is basically the rate of increase
of acceleration (like acceleration is the rate of increase of speed).
To better understand it imagine you are in a car which suddenly
accelerates. At the start you will push back in the seat so your
personal acceleration will be delayed. In a robot this is when all the
elasticity in the drive is taken out before actual acceleration can
begin. Its worst manifestation is when the robot stops e.g. to grip something.
Deceleration stops but the robot moves on before bouncing back. So with
JERK this deceleration tapers off resulting in a smooth stop. The other
new feature is you can program a special deceleration for emergency
stop. We are not interested in precision in this case, we just want to
stop as soon as possible. All this is now version 17 of RoboForth. I
have developed the finest robot software on the planet and that's it. No
more.
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