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BulletLab v0.1.3

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@NuclearVenom NuclearVenom released this 19 Jun 19:04
· 26 commits to main since this release
v0.1.3
c9a0a62

This release introduces dynamic camera tracking modes, improves the interactive development workflow, and expands resources for AI-assisted robotics development.

Highlights

Dynamic Camera System

  • Added a new dynamic camera mode with three tracking variants
  • Improved robot observation and scene navigation during simulation
  • Enables more intuitive monitoring of robot behavior and experiments

Console & Scripting Improvements

  • Fixed issues in the integrated console panel
  • Improved real-time Python script execution and control
  • Enhanced interactive simulation workflows for rapid experimentation

AI & LLM Optimization

  • Expanded support for AI-assisted development workflows
  • Added practical code snippets for common robotics tasks
  • Introduced a growing cookbook of examples and usage patterns
  • Improved discoverability of framework features for coding agents and AI assistants

Developer Experience

  • Streamlined experimentation workflows
  • Improved documentation structure and accessibility
  • Continued refinement of the BulletLab development ecosystem

About BulletLab

BulletLab is a robotics experimentation framework built on PyBullet that transforms robots into intuitive Python objects while providing modern ImGui-based controls, telemetry, visualization, and reinforcement learning workflows.

Installation

pip install --upgrade bulletlab

Links

Documentation: https://nuclearvenom.github.io/BulletLab/

Repository: https://github.com/NuclearVenom/BulletLab

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