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Conference Paper

Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning

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Driess,  Danny
Max Planck Fellow Group Physical Reasoning and Manipulation Lab, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Oguz,  Ozgur S.
Max Planck Fellow Group Physical Reasoning and Manipulation Lab, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Ha,  Jung-Su
Max Planck Fellow Group Physical Reasoning and Manipulation Lab, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Toussaint,  Marc
Max Planck Fellow Group Physical Reasoning and Manipulation Lab, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Citation

Driess, D., Oguz, O. S., Ha, J.-S., & Toussaint, M. (2020). Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning. In 2020 IEEE International Conference on Robotics and Automation (ICRA 2020) (pp. 9563-9569). Piscataway, NJ: IEEE. doi:10.1109/ICRA40945.2020.9197291.


Cite as: https://hdl.handle.net/21.11116/0000-0009-FA9A-0
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