Robohub.org
 

Bossa Nova raises $17.5 million for shelf-scanning mobile robots


by
19 November 2017



share this:

Bossa Nova Robotics, a Silicon Valley developer of autonomous service robots for the retail industry, announced the close of a $17.5 million Series B funding round led by Paxion Capital Partners and participation by Intel Capital, WRV Capital, Lucas Venture Group (LVG), and Cota Capital. This round brings Bossa Nova’s total funding to date to $41.7 million.

Bossa Nova helps large scale stores automate the collection and analysis of on-shelf inventory data by driving their sensor-laden mobile robots autonomously through aisles, navigating safely among customers and store associates. The robots capture images of store shelves and use AI to analyze the data and calculate the status of each product including location, price, and out-of-stocks which is then aggregated and delivered to management in the form of a restock action plan.

They recently began testing their robots and analytic services in 50 Walmart stores across the US. They first deployed their autonomous robots in retail stores in 2013 and have since registered more than 710 miles and 2,350 hours of autonomous inventory scanning, capturing more than 80 million product images.

“We have worked closely with Bossa Nova to help ensure this technology, which is designed to capture and share in-store data with our associates in near real time, works in our unique store environment,” said John Crecelius, vice president of central operations at Walmart. “This is meant to be a tool that helps our associates quickly identify where they can make the biggest difference for our customers.”

CMU grads launched Bossa Nova Robotics in Pittsburgh as a designer of robotic toys. In 2009 they launched two new products: Penbo, a fuzzy penguin-like robot that sang, danced, cuddled and communicated with her baby in their own Penbo language; and Prime-8, a gorilla-like loud fast-moving robot for boys. In 2011 and 2012 they changed direction: they sold off the toy business and focused on developing a mobile robot based on CMU’s ballbot technology. Later they converted to normal casters and mobility methods and spent their energies on developing camera, vision and AI analytics software to produce their latest round of shelf-scanning mobile robots.




Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.
Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.





Related posts :



Robot Talk Episode 121 – Adaptable robots for the home, with Lerrel Pinto

  16 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Lerrel Pinto from New York University about using machine learning to train robots to adapt to new environments.

What’s coming up at #ICRA2025?

  16 May 2025
Find out what's in store at the IEEE International Conference on Robotics & Automation, which will take place from 19-23 May.

Robot see, robot do: System learns after watching how-tos

  14 May 2025
Researchers have developed a new robotic framework that allows robots to learn tasks by watching a how-to video

AI-powered robots help tackle Europe’s growing e-waste problem

  12 May 2025
EU-funded researchers have developed adaptable robots that could transform the way we recycle electronic waste, benefiting both the environment and the economy.

Robot Talk Episode 120 – Evolving robots to explore other planets, with Emma Hart

  09 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Emma Hart from Edinburgh Napier University about algorithms that 'evolve' better robot designs and control systems.

Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence