PyBullet
PyBullet is an advanced simulation software that integrates seamlessly with tools like Kubric and Blender. It excels in generating photo-realistic synthetic scenes, complete with rich annotations like instance segmentation masks and depth maps. Ideal for robotics research, it supports hybrid simulation, enabling efficient training with neural networks and rapid simulation rollouts on CUDA.
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Top PyBullet Features
- Photo-realistic scene generation
- Rich annotations output
- Seamless large-scale job distribution
- Semi-realistic multi-object videos
- Instance segmentation masks support
- Depth maps generation
- Optical flow annotations
- Hybrid simulation capabilities
- Automatic differentiation support
- Fast CUDA execution
- 1 million simulation steps/second
- Deep Reinforcement Learning integration
- Gradient-based optimization methods
- Hardware OpenGL3 rendering
- Google Colab accessibility
- Integrates with Stable Baselines
- Assistive robotics simulation support
- Realistic human motion models
- Motion imitation framework
- Meta-learning for adaptation.
