While today’s robots excel in controlled settings, they still struggle with the unpredictability, dexterity, and nuanced interactions required for real-world…
While today’s robots excel in controlled settings, they still struggle with the unpredictability, dexterity, and nuanced interactions required for real-world tasks—from assembling delicate components to manipulating everyday objects with human-like precision. Robot learning has emerged as the key to bridging this gap between laboratory demonstrations and real-world deployment.
