Issue A persistent simulation-to-reality gap limits what trained robots can do in the world
Summary
Deloitte identifies a durable gap between simulated and real performance caused by approximate physics models, so a robot that learns a task in simulation does not transfer it one-to-one to physical space where surfaces, lighting and social context vary.
Classification
Main topicSpace & Mobility
Secondary topicsAI & Computing
Region menusGlobal
Impactscope:global
Time horizon0-3 years (2026-07-26)
Last updated2026-07-29 04:49:52
Evidence 2
- Tech Trends 2026: As technology innovation and adoption accelerate, five trends reveal how successful organizations are moving from experimentation to impact Deloitte Insights (Deloitte Development LLC, US Office of the CTO) page=14;section=AI goes physical: Navigating the convergence of AI and robotics / The human factor 2025-12 accessed 2026-07-26
- Tech Trends 2026: As technology innovation and adoption accelerate, five trends reveal how successful organizations are moving from experimentation to impact Deloitte Insights (Deloitte Development LLC, US Office of the CTO) page=14;section=AI goes physical: Navigating the convergence of AI and robotics / Breaking through implementation barriers 2025-12 accessed 2026-07-26
Constituent trends 1
Directly linked signals 0
No objects.
Relation types: constitutes
Public id: fm-723cf6856afe