Mbodi AI is hiring robotics and research engineers to develop a new category of industrial automation based on continuous learning [1].

This shift represents a move away from traditional automation, where machines follow fixed scripts. By enabling robots to learn and adapt in real time, the company seeks to increase the scalability and flexibility of industrial work [2].

Founded by Sebastian Peralta and Xavier Chi [1], the company is part of the Y Combinator P25 cohort [1]. The recruitment drive targets specialists who can build systems capable of evolving without the need for constant manual reprogramming.

Traditional industrial robots are often confined to rigid programming, which limits their utility when tasks change or environments shift. Mbodi AI intends to break this cycle by implementing a system where robots evolve through experience [2].

"Mbodi AI aims to advance a new category of industrial automation, one where robots may no longer have to be confined to rigid programming but instead evolve through continuous learning," Peralta said [2].

The company is focusing on the intersection of research and practical application to ensure these learning models can operate within the demanding constraints of industrial settings [1]. This approach could potentially reduce the downtime associated with updating software for new product lines, or warehouse configurations.

“Robots may no longer have to be confined to rigid programming”

The transition from static programming to continuous learning in robotics signals a move toward 'general purpose' industrial automation. If successful, this technology reduces the cost of deployment for manufacturers who currently spend significant capital on specialized engineering to reprogram robots for every new task.