PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
- gym
- pybullet
- reinforcement-learning
- control
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Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
- self-driving-car
- tensorflow
- reinforcement-learning
- unreal-engine
[ICRA] Crowd-aware Robot Navigation
- reinforcement-learning
- crowd-navigation
- collision-avoidance
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
- autonomous-vehicles
- autonomous-driving
- carla
- perception
Translated🦆 Feetech HD1910 Microduck replica: one-legged balance, ready-to-use models, Chinese console, custom HAT/IMU & 3-step build guides. No training required.
- 3d-printing
- bipedal-robots
- feetech
- hd1910
A lightweight C++ machine learning library for embedded electronics and robotics.
Official implementation of our serial spatial intelligence robotc foundation model (SLA & Spatial Forcing[ICLR2026]).
- embodied-ai
- robot-learning
Learning Heterogeneous Tactile Representation for General Dexterous Manipulation
RAX harness: coding agents that learn robot tasks by online exploration
Open-source embodied agent framework: execution, feedback, and continual improvement
- agent-harness
- ai-agents
- continual-learning
- embodied-ai
Embodied In-Context Learning for GPT-6 Astra
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
- ai-agents
- benchmark
- coding-agents
- embodied-ai
A high-performance, general-purpose toolkit for versatile robotic tasks.
- inverse-kinematics
- model-predictive-control
- motion-planning
- optimization
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)
- humanoid
- robot-learning
- supermimic
- world-model
A minimal set of agent workflows and tools for robotics
- agentic-robotics
- embodied-ai
- llm-agents
- motion-generation
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0
- aloha
- flow-matching
- icra2026
- jax
A collection of machine-learned models for use in autonomous driving applications.
- model-zoo
- autoware
- machine-learning
- autonomous-driving