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

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

Residual Feedback Learning for Contact-Rich Manipulation Tasks with UncertaintyПодробнее

Controlling Contact-Rich Manipulation Under Partial ObservabilityПодробнее

Sampling-Based MPC Using Isaac-Gym as Dynamic ModelПодробнее

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

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

Comparison of Mixed Linear Complementarity Problem Solvers for Multibody Simulations with ContactПодробнее

High-Frequency Nonlinear Model Predictive Control of a ManipulatorПодробнее

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Linear-Quadratic-Gaussian Mixed Game with Continuum-Parametrized Minor PlayersПодробнее

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Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled RobotsПодробнее

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Quadratic Secret Sharing and Conditional Disclosure of SecretsПодробнее

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