Sustainability and Machine Learning Group
Sustainability and Machine Learning Group
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    Publications

    • Learning Dynamic Tasks on a Large-scale Soft Robot in a Handful of Trials (2024)
    • A Unifying Variational Framework for Gaussian Process Motion Planning (2024)
    • Neural Field Movement Primitives for Joint Modelling of Scenes and Motions (2023)
    • Sliding Touch-based Exploration for Modeling Unknown Object Shape with Multi-finger Hands (2023)
    • Safe Trajectory Sampling in Model-based Reinforcement Learning (2023)
    • Grasp Transfer based on Self-Aligning Implicit Representations of Local Surfaces (2023)
    • Deep Grasp Adaptation through Domain Transfer (2023)
    • Enhanced GPIS Learning Based on Local and Global Focus Areas (2022)
    • Bayesian Optimization based Nonlinear Adaptive PID Design for Robust Control of the Joints at Mobile Manipulators (2022)
    • Simultaneous Tactile Exploration and Grasp Refinement for Unknown Objects (2021)

    Seminar organization

    • Dmitry Berenson: Learning Where to Trust Unreliable Dynamics Models for Motion Planning and Manipulation (Sep 2022)

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