Ohmni at London Fashion Week 2018
OhmniLabs and Kambria have partnered with renowned Los Angeles Designer, Honee, to create an all new approach to AI and telepresence. Along with Honee, House of iKons has also partnered with this September’s show, titled “A.I.” for “artificial intelligence”, the Vietnamese word “AI” for love, and the Chinese phonetic for “love to show off Ohmni at London Fashion Week 2018.
Our team here at OhmniLabs would like to give our followers and fans a chance to see Ohmni at London Fashion Week for free! Details of the event have been kept under lock and key — even our team here at OhmniLabs are in the dark about Ohmni’s looks for the runway!
Entering the giveaway is easy, and simple…
Contest Rules
- Follow @OhmniLabs & @Kambria on Facebook and Twitter! **You must be following both!**
- Like this post.
- Share this post with a tag of 1 person you’d like to bring with you to see the show. (and encourage them to do the same!) Each post counts as an entry.
- Giveaway is available on Facebook and Twitter. The winners will be chosen at random and announced on the 11th September on @OhmniLabs & @Kambria social media accounts.
Social Media Accounts
About OhmniLabs
OhmniLabs is changing the paradigm of robotics development. We thrive at creating flexible robotics modules and scalable additive manufacturing processes. Every engineer (software, electrical, mechanical) on our team is cross-trained in production engineering. This tight vertical integration ensures that we solve problems at the most efficient level.
Our flagship product, the Ohmni Robot, is an award-winning telepresence robot that transforms how people connect, from their homes, businesses, classrooms, to hospitals.
Our Ohmni Developer Edition is based on more than 200 mature hardware and software modules. It is an affordable human-scale open platform that includes our cloud-based JS framework OhmniAPI. We offer developers, researchers, and students the ability to program Ohmni robots as easily as developing web pages. We continually extend the capabilities of the framework to allow for high-level tasks through autonomous navigation and image/audio recognition.
