Most of industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant

Oct 2015

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15 Thu 09:00 AM – 10:00 AM IST

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Taj Vivanta, Yeshwantpur

The Maker Faire is a celebration of local maker culture and community. It is a gathering of fascinating, curious people who enjoy learning and who love sharing what they can do. India is yet to host such a celebration on a grand scale as a Maker Faire but is headed for one in 2016. As a precursor to it, Workbench Projects in collaboration with NASSCOM is hosting the first ever “Mini Maker Faire” in India.

The Mini Maker Faire will be held at Taj Vivanta, Yeshwantpur Bangalore on 15th October 2015 and will host a HUGE bevy of makers and tinkerers who will be displaying their inventions, creations and products for everyone and anyone to feast their eyes upon! From science and technology to the arts and culinary, the BMMF is a platform to showcase the innovations which people have made, prototyped or developed as a product. It is a chance to show the world that INDIA is INNOVATING as well.We aim to make the Mini Maker Faire a community-based learning event that inspires anyone and everyone to become a maker, an event which is engaging, active and above all fun!

We have gotten a lot of interesting applications to exhibit at the Bengaluru Mini Maker Faire. Over 200 to be precise! We have selected around 20 to exhibit, 20 projects by school children and the remaining 20 (out of the 50 shortlisted ones) for you guys to decide!
We will be putting the applicants and their exhibit projects through a funnel so that people can vote on which one they would like to see at the Faire. So please lend us a hand and start voting. Remember, whether they can showcase or not depends on you! Last date to vote is on 30th September.

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Most of industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant

Submitted Sep 22, 2015

Outline

Most of industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant. In this paper is proposed an accelerometer-based system to control an industrial robot using two low-cost and small 3-axis accelerometers. These accelerometers are attached to the human arms, capturing its behavior (gestures and postures). An Artificial Neural Network (ANN) trained with a back-propagation algorithm was used to recognize arm gestures and postures, which then will be used as input in the control of the robot. The aim is that the robot starts the movement almost at the same time as the user starts to perform a gesture or posture (low response time). The results show that the system allows the control of an industrial robot in an intuitive way. However, the achieved recognition rate of gestures and postures (92%) should be improved in future, keeping the compromise with the system response time (160 milliseconds). Finally, the results of some tests performed with an industrial robot are presented and discussed. Future scope of the project is that people who are physically challenged can use the robotic arm by the electrical signals received from the human brain that is measured by using a brain wave sensor (EEG) information received from the sensor can be given to the robotic arm so that the robotic arm performs as your thoughts.