DART is the first claimed framework for non-prehensile dual-arm tray manipulation, integrating MPC with physics-based, online regression, and reinforcement learning dynamics models, validated in simulation.
Prentice hall, 2010
2 Pith papers cite this work. Polarity classification is still indexing.
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HUSKY combines humanoid-skateboard dynamics modeling with adversarial motion priors and physics-guided lean-to-steer strategies to achieve real-world stable skateboarding on a humanoid robot.
citing papers explorer
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DART: Learning-Enhanced Model Predictive Control for Dual-Arm Non-Prehensile Manipulation
DART is the first claimed framework for non-prehensile dual-arm tray manipulation, integrating MPC with physics-based, online regression, and reinforcement learning dynamics models, validated in simulation.
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HUSKY: Humanoid Skateboarding System via Physics-Aware Whole-Body Control
HUSKY combines humanoid-skateboard dynamics modeling with adversarial motion priors and physics-guided lean-to-steer strategies to achieve real-world stable skateboarding on a humanoid robot.