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Tags: Robotics
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1–24 of 51 · Most stars

Common used path planning algorithms with animations.

  • astar
  • anytime-repairing-astar
  • learning-realtime-astar
  • realtime-adaptive-astar

A Python framework for GPU-accelerated simulation, robotics, and machine learning.

  • differentiable-programming
  • python
  • gpu-acceleration
  • nvidia

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

  • autonomous-driving
  • end-to-end-autonomous-driving
  • motion-prediction
  • multi-object-tracking

Dimensional is the agentic operating system for physical space. Command humanoids, quadrupeds, drones, and other hardware platforms in natural language and build multi-agent systems that work seamlessly with physical input (cameras, lidar, actuators).

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

  • 3d-reconstruction
  • depth-prediction
  • feature-matching
  • global-features

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

  • hybrid-astar
  • state-lattice-planner
  • pure-pursuit
  • rear-wheel-feedback

ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.

  • character-animation
  • digital-human
  • humanoid
  • humanoid-robots

NVIDIA Alpamayo 1 Nano is an open 10B reasoning VLA model for autonomous vehicles that pairs driving trajectories with Chain-of-Causation reasoning.

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

  • meta-rl
  • multi-task
  • benchmark-environments
  • mujoco