Robohub.org
Google Ventures invests in Savioke | BBC News
“Savioke’s work may be under wraps, but it has announced plans to begin customer trials of a service industry-targeted machine this year. … Savioke has disclosed a total $2m (£1.2m) of seed finance, which includes cash from other sources in addition to an undisclosed sum from Google Ventures, the search giant’s investment arm.”
See on www.bbc.com
John Payne
AUAI is supported by:
Related posts :
What does it take for a robot to hold a conversation with a room, not just a person?
Umar Farooq and UK RAS STEPS
14 Aug 2026
Find out about a summer school held at Imperial College London.
Robotics roadmaps from around the world
IEEE Robotics and Automation Society (RAS)
12 Aug 2026
We embark on a tour into some of the recent and prominent robotics roadmaps from around the world.
A ‘5-in-1’ seed-sized surgical robot
Nanyang Technological University, Singapore
10 Aug 2026
Mini robot can move, cut tissue, release drugs, grip and store samples, and generate heat wirelessly
AI agents create virtual playgrounds to help robots get crucial training data
MIT News
07 Aug 2026
“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.
Robots in society, business and culture: July 2026
IEEE Robotics and Automation Society (RAS)
06 Aug 2026
A round up of robotics stories in a new monthly series from IEEE RAS.
Simulated zebrafish and a vision-equipped robotic fish reveal how the body shapes brain circuits
Researchers look to the fish brain to create a robotic zebrafish that can autonomously swim upstream.
Researchers develop modular nanorobot
University of Basel
31 Jul 2026
A team at the University of Basel has developed a versatile nanorobot with propulsion and payload modules.
Surviving the paper deluge: a one-year study in learning from demonstration
IEEE Robotics and Automation Society (RAS)
29 Jul 2026
With the explosion of robotics research, staying current in fields like Learning from Demonstration is a monumental challenge.
