KAIST develops robot learning technology capable of precisely imitating even “rough” demonstrations
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Oct-2026 21:16 ET (31-Oct-2026 01:16 GMT/UTC)
Professor Daehyung Park’s research team in the School of Computing develops DiSPo, a robot AI model that can flexibly improve task precision from only coarse (low-frequency) demonstrations
DiSPo demonstrates up to an 81% higher success rate than existing technologies and achieves ultra-precise control in real-world robot experiments, successfully passing through a narrow 2.5 mm clearance
The technology is expected to expand the application of robots in industrial automation fields requiring high dexterity, such as micro-component assembly, medical robotics, and precision machining
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In 1938 and 1944, two major hurricanes struck Long Island and, after the initial winds subsided, the surges came back unexpectedly hours later, leading observers to wonder whether this was a tsunami. Scientists at Stevens Institute of Technology explain the phenomenon and warn that it can happen again.