[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
- autonomous-driving
- end-to-end-autonomous-driving
- motion-prediction
- multi-object-tracking
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[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
[ICRA 2026] GMR: General Motion Retargeting. Retarget human motions into diverse humanoid robots in real time on CPU. Retargeter for TWIST.
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
Humanoid whole-body motion tracking with one differentiable world model.
robotic motion planning library
Independent reproduction of SuperMimic (arXiv:2610.28480) on mjlab/MuJoCo Warp, written from the paper before the official release. For the authors' code see HybridRobotics/supermimic. Kept as a record: experiment log, full BONES-SEED results, checkpoint.
HALO: Perceptive Humanoid Motion from Simulation
SuperMimic-UniLab: An Independent reproduction of SuperMimic on UniLab for whole-body humanoid motion tracking.
Whole-body motion tracking for the Unitree G1 in about 3 minutes on one GPU.
A high-performance, general-purpose toolkit for versatile robotic tasks.
Whole-body motion tracking for the Unitree G1 in under 3 minutes on average on one GPU: return 0.82 with 0/40 clips failed, held from 2.74 min (mean of 15 seeds, range 2.21-3.61, fine checkpoints), 11.87 it/s (world model + Muon + overlapped CUDA streams, mjlab)
A minimal set of agent workflows and tools for robotics
Whole-body motion tracking for the Unitree G1 in under a minute. BlinkMimic's world-model trainer rebuilt in JAX, 3.7x faster on four H100s.