Standard Bots Raises $200M as Nvidia and ABB Expand AI Alliances

Standard Bots has raised $200 million in a Series C funding round as Nvidia and ABB Robotics announced new initiatives to accelerate physical AI and intelligent automation technologies. The developments come ahead of Automate 2026 in Chicago, where robotics companies are preparing to unveil next-generation products and partnerships aimed at transforming manufacturing operations.

Standard Bots, a U.S.-based developer of industrial robotic arms, has achieved a significant milestone with the new funding round that values the company at $1 billion. The company plans to expand its manufacturing facility in Glen Cove, New York, to 70,000 square feet and achieve full domestic sourcing of robot components by 2027. The funding round was led by new investor RoboStrategy and supported by existing investors including General Catalyst.

Andrew Kang, Chief Executive Officer of RoboStrategy, stated:

"The activity around Standard Bots is part of our ongoing program to mature physical AI technologies and demonstrate readiness for the next generation of industrial automation. The company's demonstration-based learning approach is absolutely critical to proving the maturity of robotics systems capable of expanding the range of tasks that can be automated. We believe Standard Bots is uniquely positioned to define the next generation of industrial robotics."

Nvidia expanded its partnership with South Korea's Doosan Group to advance physical AI, robotics and AI factory infrastructure. The collaboration combines Nvidia's computing platforms with Doosan's expertise in industrial automation to develop autonomous capabilities for applications such as depalletizing, sanding, dual-arm robots and humanoid systems.

ABB Robotics also partnered with bionics company Psyonic to explore how touch and motion data from prosthetic hands can train robots. By combining Psyonic's Ability Hand with ABB's GoFa collaborative robot, the collaboration aims to close the gap between human and robotic dexterity.