ROS Index
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged cx_rl_gym at Robotics Stack Exchange
Package Summary
| Version | 0.0.0 |
| License | Apache-2.0 |
| Build type | AMENT_PYTHON |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/carologistics/clips_executive.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2026-01-07 |
| Dev Status | MAINTAINED |
| Released | RELEASED |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Maintainers
- Tarik Viehmann
- Frank Pier
Authors
CXRLGym: ROS 2 Reinforcement Learning Environment
The CXRLGym module provides a ROS 2-integrated Gymnasium environment for reinforcement learning (RL) with multiple robots.
It acts as a bridge between the CLIPS-Executive and standard RL frameworks, allowing agents to perceive and act in a symbolic robot environment using familiar Gym interfaces.
Overview
CXRLGym extends gymnasium.Env to provide a ROS-driven reinforcement learning interface.
It automatically constructs its observation and action spaces by querying ROS 2 services and actions.
Key Features
- Dynamic observation and action spaces generated from ROS 2 services
- Multi-robot management and coordination via reinforcement learning
- Compatible with Gym-based RL libraries (e.g., Stable Baselines3)
- ROS 2 action interfaces for reset, robot allocation, and action execution