Robohub.org
 

Smart Grasping System available on ROS Development Studio


by
10 May 2017



share this:

Would you like to make a robot to grasp something, but you think that is impossible to you just because you can’t buy a robot arm? I’m here to tell that you can definitely achieve this without buying a real robot. Let’s see how:


How is that possible?

The Smart Grasping Sandbox built by Shadow Robotics is now available for everybody on the ROS Development Studio – a system that allows you to create and test your robot programs through simulations using only a web browser.

Wait, what is the Smart Grasping Sandbox?

The Smart Grasping Sandbox is a public simulation for the Shadow’s Smart Grasping System with theUR10 robot from Universal Robots. It allows you to make a robot to grasp something without having to learn everything related to Machine Learning, and being available on the ROS Development Studio, it allows you to test it without the hassle of installing all the requirements.

As Ugo Cupcic said:

I don’t want to have to specify every aspect of a problem — I’d rather the system learn the best way to approach a given problem itself.

Using the Development Environment for Grasping

In order to user the Smart Grasping Sandbox on ROS Development Studio—also known as RDS—just go to http://rds.theconstructsim.com and Sign In. Once logged in, go to the Public Simulations, select the Smart Grasping Sandbox simulation and press the red Launch this simulation button.

After pressing the Launch this simulation, a new screen will appears asking you to select the launch file. Just keep the default main.launch and press the red run button.

After a few seconds, the simulation will be loaded and you will be able interact with the simulation.

Once the simulation is loaded, you can see the instructions about how to control it on the left side.

In the center you have the simulation itself, and on the right side you can see the Integrated Development Environment and the Web Shell that allows you to modify the code and send Linuxcommands to the simulation respectively.

You can modify, the simulation, the control programs or even create your own manipulation control programs, make the grasping system learn using deep learning or else. This is up to you as developer!

You can also see what the robot sees using the online ROS 3D Visualizer (RViz) typing the following command on the Web Shell:

$ rosrun rviz rviz

After running Rviz, you press the red Open ROS Graphic Tools button on the bottom left side of the system and a new tab should appear with Rviz.


Conclusion

Here we have seen how to use a simulation to programme a robot to grasp something.

The simulation uses ROS as the middleware to control the robot.

If you want to learn ROS or master your ROS Skills, we recommend you to give a try to Robot Ignite Academy.

If you are a robot builder and want to have your own simulation available for everybody on RDS, or you want to have a course specifically for your robot, contact us through the email info@theconstructsim.com.



tags: , , , , , , , ,


Ruben Alves is a web and robotics engineer currently working for The Construct...
Ruben Alves is a web and robotics engineer currently working for The Construct...

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 157 – Generating new robot designs, with Josie Hughes

  22 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Josie Hughes from École Polytechnique Fédérale de Lausanne about using AI to develop new designs for robotic manipulators.

Robotics Café brings together autonomous robot practitioners

  20 May 2026
Recently launched series for researchers, students and industry practitioners aims to provide a platform for students to present their work.

Table tennis robot defeats some of world’s best players – why this has major implications for robotics

  18 May 2026
Ace, from Sony AI, is the first robot to beat elite human players in competitive physical sport.

Robot Talk Episode 156 – Rugged robots for dangerous missions, with Gavin Kenneally

  15 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Gavin Kenneally from Ghost Robotics about robot dogs for defence, security, and public safety.

Developing active and flexible microrobots

  13 May 2026
This class of robots opens up possibilities for biomedical applications.

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence