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Pose estimation using local structure-specific shape and appearance context.

, , , , and . ICRA, page 2080-2087. IEEE, (2013)

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Explicit Image Quality Detection Rules for Functional Safety in Computer Vision., , and . VISIGRAPP (6: VISAPP), page 433-444. SciTePress, (2017)Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion., , , and . ICINCO (2), page 166-177. SciTePress, (2016)978-989-758-198-4.Facilitating Robotic Subtask Reuse by a New Representation of Parametrized Solutions., , , and . ICINCO (2), page 37-48. SciTePress, (2016)978-989-758-198-4.Safety Computer Vision Rules for Improved Sensor Certification., , and . IRC, page 89-92. IEEE Computer Society, (2017)A Structured Light Scanner for Hyper Flexible Industrial Automation., , , , and . 3DV, page 401-408. IEEE Computer Society, (2014)In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components., and . CASE, page 382-389. IEEE, (2022)Prediction of ICP pose uncertainties using Monte Carlo simulation with synthetic depth images., , and . IROS, page 4640-4647. IEEE, (2017)Wilson Score Kernel Density Estimation for Bernoulli Trials., , , and . ICINCO, page 305-313. ScitePress, (2020)Automatic parameter learning for easy instruction of industrial collaborative robots., , , and . ICIT, page 87-92. IEEE, (2018)Towards Declarative Safety Rules for Perception Specification Architectures., , and . CoRR, (2016)