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cs.RO2026
Compositional Motion Generation from Demonstration with Object-Centric Neural Fields
Ahmet Ercan Tekden, Yasemin Bekiroglu
Compositionality, by organizing complex behavior as combinations of simpler elements, enables robot learning that is scalable and data efficient. Leveraging this principle, we prop…
cs.RO2026★ 1 cited
Reactive Motion Generation via Phase-varying Neural Potential Functions
Ahmet Tekden, Dimitrios Kanoulas, Aude Billard +1
Dynamical systems (DS) methods for Learning-from-Demonstration (LfD) provide stable, continuous policies from few demonstrations. First-order dynamical systems (DS) are effective f…