by robosavvynews » Wed Dec 11, 2013 3:56 pm
by robosavvynews
Wed Dec 11, 2013 3:56 pm
The Humanoid Design Challenge winner has been chosen!
GrabCAD, the platform for open engineering and home of the world’s largest community of mechanical engineers, collaborated with RoboSavvy on a Challenge to gather fresh ideas for the design of a new humanoid robot designated for entertainment and education.
The objective of this competition was to crowdsource a winning design of a new humanoid robot for entertainment and education. The robot had to be open-source, agile, smart and affordable to schools, universities and hobbyist through DIY fabrication. We are passionate about making this technology affordable to all.
Comparable education and research humanoid robots cost over $10,000 due to their plastic molded shell parts, expensive actuators and closed-source business approach. RoboSavvy wants this to be an open-source robot that will outperform its rival platforms while keeping the cost of materials to about $1,000. This will be achieved by utilizing materials and fabrication methods available to anyone. Materials include aluminum sheet and 3D printed parts for structure, vacuum formed polycarb exterior shell, servos for actuation and low cost electronics including Raspberry Pi for brains.
The 30 designs submitted were all excellent, exceeding expectations... It was extremely difficult for judges to decide. Congratulations and thank you to all who participated. After much anticipation, here is our winner:
RoboSavvy Humanoid Design - unl by Joshua Chung.
See all of the RoboSavvy Humanoid Design Challenge results on the
GrabCAD Challenge page.
Over the next few months we will be working with the winning designer(s), with the help of
Robotis who is sponsoring 24 servos, to begin developing the opensource design so that it can easily be manufactured and assembled by anyone. In addition, we will create opensource software that will allow anyone with basic technical skills to control the robot's complex movements and enable human-robot-interaction.
A special Thank You to GrabCAD for hosting this challenge, and to our servo sponsor and good friends ROBOTIS
grabcad.comrobotis.com
The Humanoid Design Challenge winner has been chosen!
GrabCAD, the platform for open engineering and home of the world’s largest community of mechanical engineers, collaborated with RoboSavvy on a Challenge to gather fresh ideas for the design of a new humanoid robot designated for entertainment and education.
The objective of this competition was to crowdsource a winning design of a new humanoid robot for entertainment and education. The robot had to be open-source, agile, smart and affordable to schools, universities and hobbyist through DIY fabrication. We are passionate about making this technology affordable to all.
Comparable education and research humanoid robots cost over $10,000 due to their plastic molded shell parts, expensive actuators and closed-source business approach. RoboSavvy wants this to be an open-source robot that will outperform its rival platforms while keeping the cost of materials to about $1,000. This will be achieved by utilizing materials and fabrication methods available to anyone. Materials include aluminum sheet and 3D printed parts for structure, vacuum formed polycarb exterior shell, servos for actuation and low cost electronics including Raspberry Pi for brains.
The 30 designs submitted were all excellent, exceeding expectations... It was extremely difficult for judges to decide. Congratulations and thank you to all who participated. After much anticipation, here is our winner:
RoboSavvy Humanoid Design - unl by Joshua Chung.
See all of the RoboSavvy Humanoid Design Challenge results on the
GrabCAD Challenge page.
Over the next few months we will be working with the winning designer(s), with the help of
Robotis who is sponsoring 24 servos, to begin developing the opensource design so that it can easily be manufactured and assembled by anyone. In addition, we will create opensource software that will allow anyone with basic technical skills to control the robot's complex movements and enable human-robot-interaction.
A special Thank You to GrabCAD for hosting this challenge, and to our servo sponsor and good friends ROBOTIS
grabcad.comrobotis.com