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For decades, autonomous mobile robots (AMRs) have represented one of the most compelling promises in applied artificial intelligence—machines capable of moving safely and independently through human environments. Yet despite global investment in sensors, algorithms, and computing, large-scale deployment remains elusive for many. The constraint is not capability but reliability , and according to Gartner’s 2024 Industrial AI Market Guide, AMRs still struggle to perform consist

Toronto-based Cyberworks Robotics and the University of Toronto have applied the same principles at work in self-driving cars.