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41 pages
Robotics
Notes on Robotics & Autonomous Driving
DiffusionDriveV2: Truncated Diffusion Model for End-to-End Autonomous Driving
End-to-End Autonomous Driving without Costly Modularization and 3D Manual Annotation
Epona: Autoregressive Diffusion World Model for End-to-End Autonomous Driving
FutureX: Enhance End-to-End Autonomous Driving via Latent Chain-of-Thought World Model
HiP-AD: Hierarchical and Multi-granularity Planning with Deformable Attention
LAW - Enhancing End-to-End Autonomous Driving with Latent World Model
MomAD: Momentum-Aware Planning in End-to-End Autonomous Driving
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
SNG-VLA: Navigation Understanding in End-to-End Autonomous Driving
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