| 1 |
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response |
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| 2 |
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control |
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| 3 |
Centroidal State Estimation and Control for Hardware-constrained Humanoid Robots |
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| 4 |
Robot Crowd Navigation in Dynamic Environment with Offline Reinforcement Learning |
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| 5 |
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots |
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| 6 |
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects |
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| 7 |
Solving the swing-up and balance task for the Acrobot and Pendubot with SAC |
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| 8 |
Sharable Clothoid-based Continuous Motion Planning for Connected Automated Vehicles |
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| 9 |
Aligning Human Intent from Imperfect Demonstrations with Confidence-based Inverse soft-Q Learning |
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| 10 |
Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies |
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| 11 |
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution |
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| 12 |
GraspLDM: Generative 6-DoF Grasp Synthesis using Latent Diffusion Models |
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| 13 |
Energy-Aware Hierarchical Control of Joint Velocities |
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