Stellantis Deployed Inbolt Robotic Guidance Technology
The automaker implemented AI-driven vision systems to boost assembly precision and reduce manufacturing downtime.
Updated on Sept. 21, 2026 in Robotics
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Stellantis successfully integrated Inbolt vision guidance technology across its assembly lines to improve robotic adaptability in unstructured environments. By utilizing AI and 3D depth data, the system allows robots to adjust paths in real time based on component positioning.
Why it matters
The technology addresses a critical challenge in manufacturing where legacy assembly lines often lack the repeatability required for standard high-precision robotics. Enabling robots to adapt to varying part positions reduces errors and optimizes production throughput.
The system processes 3D depth data to adjust robot paths in real time across six axes: X, Y, Z, yaw, pitch, and roll. This integration resulted in a 90.5 percent reduction in overall part rejections and a 70 percent decrease in unplanned downtime.
The players
Stellantis
Stellantis is a global automotive manufacturer formed through the merger of Fiat Chrysler Automobiles and PSA Group.
Inbolt
Inbolt is a robotics technology firm that specializes in real-time vision guidance systems for industrial applications.
The details
The vision technology, which is mounted directly onto existing robots, compensates for positioning fluctuations that previously hampered automated assembly. These improvements were demonstrated at facilities including the Trenton engine plant and the Detroit Assembly Complex-Jefferson.
Timeline
The findings were reported on September 21, 2026.
The Tech Race
Automakers are increasingly deploying adaptive AI-driven vision systems to overcome the limitations of rigid, legacy industrial automation. This marks a departure from traditional fixed-path robotics toward more flexible, intelligent manufacturing environments.
For the consumer, these robotic improvements translate to higher vehicle quality due to decreased assembly errors and more reliable part integration. Manufacturers achieve faster production cycles, which can help mitigate delays in the supply chain.
The takeaway
The successful deployment of AI-vision technology demonstrates that upgrading legacy hardware is often more cost-effective than a total system overhaul. Companies seeking to improve production should prioritize software-driven adaptivity over traditional mechanical precision.
Further reading
Learn more about the latest innovations in industrial automation on our Robotics page.
More information
For detailed specifications regarding the guidance system, visit the Inbolt company information website.
Source note: This article includes information reported by Assembly Magazine.
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