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The ability to accurately predict human behavior is central to the safety and efficiency of robot autonomy in interactive settings.
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“Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models”
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“Stochastic model predictive control with active uncertainty learning: A survey on dual control”
Ali Mesbah · 2017
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“DESPOT: Online POMDP Planning with Regularization”
Nan Ye et al · 2017
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Dorsa Sadigh et al · 2018
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Ran Tian et al · 2021
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“Anytime game-theoretic planning with active reasoning about humans’ latent states for human-centered robots”
Ran Tian et al · 2021
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“Cooperative autonomous vehicles that sympathize with human drivers”
Behrad Toghi et al · 2021
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“Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments”
Oscar de Groot et al · 2021
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