AI RESEARCH
Robotic Foundation Models for Industrial Control: A Comprehensive Survey and Readiness Assessment Framework
arXiv CS.AI
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ArXi:2603.06749v1 Announce Type: cross Robotic foundation models (RFMs) are emerging as a promising route towards flexible, instruction- and nstration-driven robot control, however, a critical investigation of their industrial applicability is still lacking. This survey gives an extensive overview over the RFM-landscape and analyses, driven by concrete implications, how industrial domains and use cases shape the requirements of RFMs, with particular focus on collaborative robot platforms, heterogeneous sensing and actuation, edge-computing constraints, and safety-critical operation.