Implicit Contact-Rich Manipulation Planning for a Manipulator with Insufficient Payload

Implicit Contact-Rich Manipulation Planning for a Manipulator with Insufficient Payload

Controlling Contact-Rich Manipulation Under Partial ObservabilityПодробнее

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Global Planning for Contact-Rich Manipulation via Local Smoothing of Quasi-dynamic Contact Models v2Подробнее

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A System for Imitation Learning of Contact-Rich Bimanual Manipulation PoliciesПодробнее

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Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation PlanningПодробнее

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Residual Feedback Learning for Contact-Rich Manipulation Tasks with UncertaintyПодробнее

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Manipulation Planning on Constraint ManifoldsПодробнее

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Robot learning and perception for contact-rich manipulationПодробнее

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Global Planning for Contact-Rich Manipulation via Local Smoothing of Quasi-dynamic Contact ModelsПодробнее

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Contact-Rich Bimanual ManipulationПодробнее

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MIT Robotics - Michael Posa - Contact-rich robotics: learning, impact-invariant control, and tactileПодробнее

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Contact-Implicit Trajectory Optimization with Hydroelastic Contact and iLQRПодробнее

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Quasistatic contact-rich manipulation via linear complementarity quadratic programming (IROS 2022)Подробнее

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Inverse Dynamics Trajectory Optimization for Contact-Implicit Model Predictive ControlПодробнее

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An Experimental Validation of Contact-Implicit Trajectory Optimization for ManipulationПодробнее

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Manipulation Planning for Large Objects through Pivoting, Tumbling, and RegraspingПодробнее

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Addressing Cost-Space Chasms in Manipulation PlanningПодробнее

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Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled RobotsПодробнее

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Three-fingered robotic hand dexterous manipulationПодробнее

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