![]() |
airship_planner package from airship repoairship_chat airship_description airship_grasp airship_interface airship_localization airship_navigation airship_object airship_perception airship_planner |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/airs-cuhk/airship.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-18 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- geyangtao
Authors
airship_planner
This package implements a task planner leveraging LLMs. It supports both using OpenAI’s API to access GPT modules and utilizing the Ollam API to access open-source LLMs, such as LLAMA.
airship_planner API Overview
llm_planner_node
- Default configuration file: airship_planner/config/config.yaml
-
semantic_map_file
: Specifies the file of the semantic file -
llm_server_url
: Specifies the url of the LLM service constructed by the user using Ollama.
-
- Service
-
/airship_planner/planner_server
: Provides a service for receiving user instructions, utilizing LLMs to process those instructions, and generating a list of tasks composed of navigation, grasping, and placing.
-
- Parameters
-
semantic_map_dir
: The directory containing the semantic map. Users can specify this parameter through the launch file. -
semantic_map_file
: The file name of the semantic map. Users can specify this parameter through config.yaml. -
llm_server_url
: The URL of LLM server. User can specify this parameter through config.yaml.
-
To-Do List
- Add more task primitives to the task planner and implement these new tasks in Airship.
- Use VLM models to enhance the capbility of task planning and scheduling.
- Develop a foundation world model for general embodied AI applications.
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged airship_planner at Robotics Stack Exchange
![]() |
airship_planner package from airship repoairship_chat airship_description airship_grasp airship_interface airship_localization airship_navigation airship_object airship_perception airship_planner |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/airs-cuhk/airship.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-18 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- geyangtao
Authors
airship_planner
This package implements a task planner leveraging LLMs. It supports both using OpenAI’s API to access GPT modules and utilizing the Ollam API to access open-source LLMs, such as LLAMA.
airship_planner API Overview
llm_planner_node
- Default configuration file: airship_planner/config/config.yaml
-
semantic_map_file
: Specifies the file of the semantic file -
llm_server_url
: Specifies the url of the LLM service constructed by the user using Ollama.
-
- Service
-
/airship_planner/planner_server
: Provides a service for receiving user instructions, utilizing LLMs to process those instructions, and generating a list of tasks composed of navigation, grasping, and placing.
-
- Parameters
-
semantic_map_dir
: The directory containing the semantic map. Users can specify this parameter through the launch file. -
semantic_map_file
: The file name of the semantic map. Users can specify this parameter through config.yaml. -
llm_server_url
: The URL of LLM server. User can specify this parameter through config.yaml.
-
To-Do List
- Add more task primitives to the task planner and implement these new tasks in Airship.
- Use VLM models to enhance the capbility of task planning and scheduling.
- Develop a foundation world model for general embodied AI applications.
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged airship_planner at Robotics Stack Exchange
![]() |
airship_planner package from airship repoairship_chat airship_description airship_grasp airship_interface airship_localization airship_navigation airship_object airship_perception airship_planner |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/airs-cuhk/airship.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-18 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- geyangtao
Authors
airship_planner
This package implements a task planner leveraging LLMs. It supports both using OpenAI’s API to access GPT modules and utilizing the Ollam API to access open-source LLMs, such as LLAMA.
airship_planner API Overview
llm_planner_node
- Default configuration file: airship_planner/config/config.yaml
-
semantic_map_file
: Specifies the file of the semantic file -
llm_server_url
: Specifies the url of the LLM service constructed by the user using Ollama.
-
- Service
-
/airship_planner/planner_server
: Provides a service for receiving user instructions, utilizing LLMs to process those instructions, and generating a list of tasks composed of navigation, grasping, and placing.
-
- Parameters
-
semantic_map_dir
: The directory containing the semantic map. Users can specify this parameter through the launch file. -
semantic_map_file
: The file name of the semantic map. Users can specify this parameter through config.yaml. -
llm_server_url
: The URL of LLM server. User can specify this parameter through config.yaml.
-
To-Do List
- Add more task primitives to the task planner and implement these new tasks in Airship.
- Use VLM models to enhance the capbility of task planning and scheduling.
- Develop a foundation world model for general embodied AI applications.
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged airship_planner at Robotics Stack Exchange
![]() |
airship_planner package from airship repoairship_chat airship_description airship_grasp airship_interface airship_localization airship_navigation airship_object airship_perception airship_planner |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/airs-cuhk/airship.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-18 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- geyangtao
Authors
airship_planner
This package implements a task planner leveraging LLMs. It supports both using OpenAI’s API to access GPT modules and utilizing the Ollam API to access open-source LLMs, such as LLAMA.
airship_planner API Overview
llm_planner_node
- Default configuration file: airship_planner/config/config.yaml
-
semantic_map_file
: Specifies the file of the semantic file -
llm_server_url
: Specifies the url of the LLM service constructed by the user using Ollama.
-
- Service
-
/airship_planner/planner_server
: Provides a service for receiving user instructions, utilizing LLMs to process those instructions, and generating a list of tasks composed of navigation, grasping, and placing.
-
- Parameters
-
semantic_map_dir
: The directory containing the semantic map. Users can specify this parameter through the launch file. -
semantic_map_file
: The file name of the semantic map. Users can specify this parameter through config.yaml. -
llm_server_url
: The URL of LLM server. User can specify this parameter through config.yaml.
-
To-Do List
- Add more task primitives to the task planner and implement these new tasks in Airship.
- Use VLM models to enhance the capbility of task planning and scheduling.
- Develop a foundation world model for general embodied AI applications.
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged airship_planner at Robotics Stack Exchange
![]() |
airship_planner package from airship repoairship_chat airship_description airship_grasp airship_interface airship_localization airship_navigation airship_object airship_perception airship_planner |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/airs-cuhk/airship.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-18 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- geyangtao
Authors
airship_planner
This package implements a task planner leveraging LLMs. It supports both using OpenAI’s API to access GPT modules and utilizing the Ollam API to access open-source LLMs, such as LLAMA.
airship_planner API Overview
llm_planner_node
- Default configuration file: airship_planner/config/config.yaml
-
semantic_map_file
: Specifies the file of the semantic file -
llm_server_url
: Specifies the url of the LLM service constructed by the user using Ollama.
-
- Service
-
/airship_planner/planner_server
: Provides a service for receiving user instructions, utilizing LLMs to process those instructions, and generating a list of tasks composed of navigation, grasping, and placing.
-
- Parameters
-
semantic_map_dir
: The directory containing the semantic map. Users can specify this parameter through the launch file. -
semantic_map_file
: The file name of the semantic map. Users can specify this parameter through config.yaml. -
llm_server_url
: The URL of LLM server. User can specify this parameter through config.yaml.
-
To-Do List
- Add more task primitives to the task planner and implement these new tasks in Airship.
- Use VLM models to enhance the capbility of task planning and scheduling.
- Develop a foundation world model for general embodied AI applications.
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged airship_planner at Robotics Stack Exchange
![]() |
airship_planner package from airship repoairship_chat airship_description airship_grasp airship_interface airship_localization airship_navigation airship_object airship_perception airship_planner |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/airs-cuhk/airship.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-18 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- geyangtao
Authors
airship_planner
This package implements a task planner leveraging LLMs. It supports both using OpenAI’s API to access GPT modules and utilizing the Ollam API to access open-source LLMs, such as LLAMA.
airship_planner API Overview
llm_planner_node
- Default configuration file: airship_planner/config/config.yaml
-
semantic_map_file
: Specifies the file of the semantic file -
llm_server_url
: Specifies the url of the LLM service constructed by the user using Ollama.
-
- Service
-
/airship_planner/planner_server
: Provides a service for receiving user instructions, utilizing LLMs to process those instructions, and generating a list of tasks composed of navigation, grasping, and placing.
-
- Parameters
-
semantic_map_dir
: The directory containing the semantic map. Users can specify this parameter through the launch file. -
semantic_map_file
: The file name of the semantic map. Users can specify this parameter through config.yaml. -
llm_server_url
: The URL of LLM server. User can specify this parameter through config.yaml.
-
To-Do List
- Add more task primitives to the task planner and implement these new tasks in Airship.
- Use VLM models to enhance the capbility of task planning and scheduling.
- Develop a foundation world model for general embodied AI applications.
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged airship_planner at Robotics Stack Exchange
![]() |
airship_planner package from airship repoairship_chat airship_description airship_grasp airship_interface airship_localization airship_navigation airship_object airship_perception airship_planner |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/airs-cuhk/airship.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-18 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- geyangtao
Authors
airship_planner
This package implements a task planner leveraging LLMs. It supports both using OpenAI’s API to access GPT modules and utilizing the Ollam API to access open-source LLMs, such as LLAMA.
airship_planner API Overview
llm_planner_node
- Default configuration file: airship_planner/config/config.yaml
-
semantic_map_file
: Specifies the file of the semantic file -
llm_server_url
: Specifies the url of the LLM service constructed by the user using Ollama.
-
- Service
-
/airship_planner/planner_server
: Provides a service for receiving user instructions, utilizing LLMs to process those instructions, and generating a list of tasks composed of navigation, grasping, and placing.
-
- Parameters
-
semantic_map_dir
: The directory containing the semantic map. Users can specify this parameter through the launch file. -
semantic_map_file
: The file name of the semantic map. Users can specify this parameter through config.yaml. -
llm_server_url
: The URL of LLM server. User can specify this parameter through config.yaml.
-
To-Do List
- Add more task primitives to the task planner and implement these new tasks in Airship.
- Use VLM models to enhance the capbility of task planning and scheduling.
- Develop a foundation world model for general embodied AI applications.
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged airship_planner at Robotics Stack Exchange
![]() |
airship_planner package from airship repoairship_chat airship_description airship_grasp airship_interface airship_localization airship_navigation airship_object airship_perception airship_planner |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/airs-cuhk/airship.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-18 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- geyangtao
Authors
airship_planner
This package implements a task planner leveraging LLMs. It supports both using OpenAI’s API to access GPT modules and utilizing the Ollam API to access open-source LLMs, such as LLAMA.
airship_planner API Overview
llm_planner_node
- Default configuration file: airship_planner/config/config.yaml
-
semantic_map_file
: Specifies the file of the semantic file -
llm_server_url
: Specifies the url of the LLM service constructed by the user using Ollama.
-
- Service
-
/airship_planner/planner_server
: Provides a service for receiving user instructions, utilizing LLMs to process those instructions, and generating a list of tasks composed of navigation, grasping, and placing.
-
- Parameters
-
semantic_map_dir
: The directory containing the semantic map. Users can specify this parameter through the launch file. -
semantic_map_file
: The file name of the semantic map. Users can specify this parameter through config.yaml. -
llm_server_url
: The URL of LLM server. User can specify this parameter through config.yaml.
-
To-Do List
- Add more task primitives to the task planner and implement these new tasks in Airship.
- Use VLM models to enhance the capbility of task planning and scheduling.
- Develop a foundation world model for general embodied AI applications.
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged airship_planner at Robotics Stack Exchange
![]() |
airship_planner package from airship repoairship_chat airship_description airship_grasp airship_interface airship_localization airship_navigation airship_object airship_perception airship_planner |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | |
Checkout URI | https://github.com/airs-cuhk/airship.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-07-18 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- geyangtao
Authors
airship_planner
This package implements a task planner leveraging LLMs. It supports both using OpenAI’s API to access GPT modules and utilizing the Ollam API to access open-source LLMs, such as LLAMA.
airship_planner API Overview
llm_planner_node
- Default configuration file: airship_planner/config/config.yaml
-
semantic_map_file
: Specifies the file of the semantic file -
llm_server_url
: Specifies the url of the LLM service constructed by the user using Ollama.
-
- Service
-
/airship_planner/planner_server
: Provides a service for receiving user instructions, utilizing LLMs to process those instructions, and generating a list of tasks composed of navigation, grasping, and placing.
-
- Parameters
-
semantic_map_dir
: The directory containing the semantic map. Users can specify this parameter through the launch file. -
semantic_map_file
: The file name of the semantic map. Users can specify this parameter through config.yaml. -
llm_server_url
: The URL of LLM server. User can specify this parameter through config.yaml.
-
To-Do List
- Add more task primitives to the task planner and implement these new tasks in Airship.
- Use VLM models to enhance the capbility of task planning and scheduling.
- Develop a foundation world model for general embodied AI applications.