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Generalizable long-horizon robotic assembly requires reasoning at multiple levels of abstraction.
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Deep reinforcement learning for high precision assembly tasks
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Assembly systems in industry 4.0 era: a road map to understand assembly 4.0
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J. Luo, E. Solowjow, C. Wen, J. A. Ojea, A. M. Agogino, A. Tamar, and P. Abbeel · 2019
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Composing complex skills by learning transition policies
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Deep reinforcement learning for industrial insertion tasks with visual inputs and natural rewards
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A roadmap for us robotics–from internet to robotics 2020 edition
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Integrated task and motion planning
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Neuro-symbolic program search for autonomous driving decision module design
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Learning a decision module by imitating driver’s control behaviors
J. Huang, S. Xie, J. Sun, Q. Ma, C. Liu, D. Lin, and B. Zhou · 2021
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Long-horizon manipulation of unknown objects via task and motion planning with estimated affordances
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Adversarial skill chaining for long-horizon robot manipulation via terminal state regularization
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Accelerating robotic reinforcement learning via parameterized action primitives
M. Dalal, D. Pathak, and R. R. Salakhutdinov · 2021
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