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Environment-adaptive interaction primitives for human-robot motor skill learning.

, , , , , and . Humanoids, page 711-717. IEEE, (2016)

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Learning from demonstration for locally assistive mobility aids., , , and . Int. J. Intell. Robotics Appl., 3 (3): 255-268 (2019)Probabilistic Pose Estimation of Deformable Linear Objects., , , , and . CASE, page 471-476. IEEE, (2018)Environment-adaptive interaction primitives through visual context for human-robot motor skill learning., , , , , and . Auton. Robots, 43 (5): 1225-1240 (2019)Probabilistic Active Filtering for Object Search in Clutter., , , , and . ICRA, page 7256-7261. IEEE, (2019)An automated mechanism to characterize wheelchair user performance., , , and . BioRob, page 444-449. IEEE, (2014)Sequential intention estimation of a mobility aid user for intelligent navigational assistance., , , , and . RO-MAN, page 444-449. IEEE, (2015)Learning Deep Dynamical Models of a Waste Incineration Plant from In-furnace Images and Process Data., , , , , , and . CASE, page 873-878. IEEE, (2019)Local driving assistance from demonstration for mobility aids., , , , and . ICRA, page 5935-5941. IEEE, (2017)Increased task perception for adaptable human-robot collaboration. University of Technology Sydney, Australia, (2018)Learning Mobility Aid Assistance via Decoupled Observation Models., , , and . ICARCV, page 1903-1910. IEEE, (2018)