Scan Computers has entered right into a partnership with Sheffield-based OLO Robotics, combining Scan’s robotics {hardware}, AI infrastructure and technical experience with OLO’s browser-based platform and specialist robotics engineering, to make superior robotics simpler to entry and deploy.
OLO’s platform brings teleoperation, simulation and autonomous navigation collectively within the browser. With it, you may rapidly and simply check robots in a secure digital atmosphere, monitoring their sensors and creating code that determines their behaviour, earlier than deploying them in the true world.
As a result of it wants no set up, OLO can be utilized from virtually any machine, and it runs on high of ROS 2, so every robotic retains its full options and capabilities.
The brand new partnership permits Scan to make its vary of Unitree robots accessible to groups with out specialist ROS builders, including additional worth to the platforms.
Prospects can pair a Unitree robotic from Scan with OLO and go from unboxing to autonomous navigation, whether or not the aim is industrial inspection, educational analysis or prototyping.

Akash Raja, Director of Robotics at Scan, stated: “OLO Robotics’ modern and user-friendly software program completely enhances our personal ecosystem of GPU-accelerated robots, strengthening our place as a whole answer supplier for robotics within the UK.”
Eleanor Tang-Smith, co-founder and COO of OLO Robotics, stated: “Shopping for a succesful robotic has grow to be easy. Getting it to do helpful work continues to be the laborious half, and it often is dependent upon specialist ROS engineers who’re in brief provide.
“Working with Scan means a buyer can unbox a robotic, join it by means of a browser and begin constructing inspection, analysis or prototyping purposes with out that barrier. Collectively we may give organisations a whole route from first thought to deployment.”
Scan is an Nvidia Elite Companion and OLO Robotics is a member of the Nvidia Inception programme. OLO Robotics shall be on the Scan stand 3068 at Nvidia GTC Berlin, October 20-Twenty second.
