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BulletLab v0.1.1

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@NuclearVenom NuclearVenom released this 17 Jun 17:21
· 31 commits to main since this release
v0.1.1
735a875

The first post-release update for BulletLab, focused on improving stability, package quality, and example coverage.

Highlights

Bug Fixes

  • Fixed multiple framework bugs discovered after the initial public release
  • Improved overall reliability and consistency across the API

Joint & Reset System Improvements

  • Fixed reset-related issues affecting robot state initialization
  • Improved robot reset behavior and simulation reproducibility

Package Metadata Improvements

  • Refined PyPI package metadata
  • Improved package distribution and installation experience
  • Updated project information and package configuration

New Example

  • Added Example 06: Husky Robot in Irregular Terrain
  • Demonstrates BulletLab's ability to work with mobile robots in challenging environments
  • Provides a foundation for navigation, autonomy, and reinforcement learning experiments

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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