Demonstrate once, execute on many: Kinematic intelligence for cross-robot skill transfer
Sthithpragya Gupta; Durgesh Haribhau Salunkhe; Aude Billard · 2026 · Science Robotics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Teaching robots new skills should be as natural as showing rather than programming. Learning from demonstration (LfD) moves toward this goal by allowing users to guide a robot or sketch a desired motion, enabling learning without writing a…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Crossref · DOI 10.1126/scirobotics.aea1995