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Christian Dreher

2 accepted papers

2024

Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds

ICRA 2024poster

Movement primitives (MPs) are compact representations of robot skills that can be learned from demonstrations and combined into complex behaviors. However, merely equipping robots with a fixed set of innate MPs is insufficient to deploy them in dynamic and unpredictable environments. Instead, the fu…

Cited by 6SourceScholar
2024

Learning Symbolic and Subsymbolic Temporal Task Constraints from Bimanual Human Demonstrations

IROS 2024poster

Learning task models of bimanual manipulation from human demonstration and their execution on a robot should take temporal constraints between actions into account. This includes constraints on (i) the symbolic level such as precedence relations or temporal overlap in the execution, and (ii) the sub…

Cited by 1SourceScholar