![]() |
pathplanners package from path-planning-algorithms repopathplanners |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | TODO: License declaration |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | ROS2 project to visualise path planning algorithms used in Robotics. |
Checkout URI | https://github.com/maker-atom/path-planning-algorithms.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2023-11-08 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | algorithms robotics path-planning ros2 |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- aditya
Authors
Path-Planning-Algorithms-with-ROS2
Table of Contents
ToDo:
- Potential function for the complex algo
- Explore neighbors
- Takes a node and returns all its neighbor
- Explore neighbors
- Should this be encapsulated in base Algorithm class?
About
Design aspects of system
Preliminary data such as map with obstacle, initial and goal position, common to all algorithms will be provided with node - map_node
Each algorithms can be executed using its own python node.
Complex algorithms which requires functionalities present in simpler can be derived easily as the codebase it OOP based.
PlayGround
bringup.launch.py
Launches rviz2 for visualization of algorithms and
map_node which provided the preliminary data
map_node
Has the preliminary map defined.
Publishes
Map with obstacles
initial and goal pose embedded within the map
map data is first stored in 2d matrix represented as x, y
Instead of adjacency list, the preliminary map is transmitted.
Serves service `get_map` requested by individual algorithms for preliminary map.
Since this wont be changing over time and will be required only once service has been used,
instead of topic.
algo_nodes
Waits for the GetMap service and requests the service for map with obstacles with initial and goal pose.
Instead of using sync service, using a flag to wait for the response.
Service callback method converts the data into 2D matrix for manipulation.
Within the timer loop BFS traversal is performed and each node is marked visited denoted in the map itself.
After each iteration of master loop color of visited cells is increased in spectrum for visualization.
Path is back tracked using `parent` attribute and path is generated.
Color Scheme of CostMap:
-128 to -2 => RED to YELLOW
-1 => GREY
0 => BLACK
1 to 98 => BLUE to RED
99 => CYAN
100 => PINK
101 to 127 => GREEN
YELLOW => START POINT
BLUE => END POINT
GREEN => GENERATED PATH
Explored area has a gradient from YELLOW to BLUE for each iteration.
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
ament_copyright | |
ament_flake8 | |
ament_pep257 | |
rclpy |
System Dependencies
Name |
---|
python3-pytest |
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged pathplanners at Robotics Stack Exchange
![]() |
pathplanners package from path-planning-algorithms repopathplanners |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | TODO: License declaration |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | ROS2 project to visualise path planning algorithms used in Robotics. |
Checkout URI | https://github.com/maker-atom/path-planning-algorithms.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2023-11-08 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | algorithms robotics path-planning ros2 |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- aditya
Authors
Path-Planning-Algorithms-with-ROS2
Table of Contents
ToDo:
- Potential function for the complex algo
- Explore neighbors
- Takes a node and returns all its neighbor
- Explore neighbors
- Should this be encapsulated in base Algorithm class?
About
Design aspects of system
Preliminary data such as map with obstacle, initial and goal position, common to all algorithms will be provided with node - map_node
Each algorithms can be executed using its own python node.
Complex algorithms which requires functionalities present in simpler can be derived easily as the codebase it OOP based.
PlayGround
bringup.launch.py
Launches rviz2 for visualization of algorithms and
map_node which provided the preliminary data
map_node
Has the preliminary map defined.
Publishes
Map with obstacles
initial and goal pose embedded within the map
map data is first stored in 2d matrix represented as x, y
Instead of adjacency list, the preliminary map is transmitted.
Serves service `get_map` requested by individual algorithms for preliminary map.
Since this wont be changing over time and will be required only once service has been used,
instead of topic.
algo_nodes
Waits for the GetMap service and requests the service for map with obstacles with initial and goal pose.
Instead of using sync service, using a flag to wait for the response.
Service callback method converts the data into 2D matrix for manipulation.
Within the timer loop BFS traversal is performed and each node is marked visited denoted in the map itself.
After each iteration of master loop color of visited cells is increased in spectrum for visualization.
Path is back tracked using `parent` attribute and path is generated.
Color Scheme of CostMap:
-128 to -2 => RED to YELLOW
-1 => GREY
0 => BLACK
1 to 98 => BLUE to RED
99 => CYAN
100 => PINK
101 to 127 => GREEN
YELLOW => START POINT
BLUE => END POINT
GREEN => GENERATED PATH
Explored area has a gradient from YELLOW to BLUE for each iteration.
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
ament_copyright | |
ament_flake8 | |
ament_pep257 | |
rclpy |
System Dependencies
Name |
---|
python3-pytest |
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged pathplanners at Robotics Stack Exchange
![]() |
pathplanners package from path-planning-algorithms repopathplanners |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | TODO: License declaration |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | ROS2 project to visualise path planning algorithms used in Robotics. |
Checkout URI | https://github.com/maker-atom/path-planning-algorithms.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2023-11-08 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | algorithms robotics path-planning ros2 |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- aditya
Authors
Path-Planning-Algorithms-with-ROS2
Table of Contents
ToDo:
- Potential function for the complex algo
- Explore neighbors
- Takes a node and returns all its neighbor
- Explore neighbors
- Should this be encapsulated in base Algorithm class?
About
Design aspects of system
Preliminary data such as map with obstacle, initial and goal position, common to all algorithms will be provided with node - map_node
Each algorithms can be executed using its own python node.
Complex algorithms which requires functionalities present in simpler can be derived easily as the codebase it OOP based.
PlayGround
bringup.launch.py
Launches rviz2 for visualization of algorithms and
map_node which provided the preliminary data
map_node
Has the preliminary map defined.
Publishes
Map with obstacles
initial and goal pose embedded within the map
map data is first stored in 2d matrix represented as x, y
Instead of adjacency list, the preliminary map is transmitted.
Serves service `get_map` requested by individual algorithms for preliminary map.
Since this wont be changing over time and will be required only once service has been used,
instead of topic.
algo_nodes
Waits for the GetMap service and requests the service for map with obstacles with initial and goal pose.
Instead of using sync service, using a flag to wait for the response.
Service callback method converts the data into 2D matrix for manipulation.
Within the timer loop BFS traversal is performed and each node is marked visited denoted in the map itself.
After each iteration of master loop color of visited cells is increased in spectrum for visualization.
Path is back tracked using `parent` attribute and path is generated.
Color Scheme of CostMap:
-128 to -2 => RED to YELLOW
-1 => GREY
0 => BLACK
1 to 98 => BLUE to RED
99 => CYAN
100 => PINK
101 to 127 => GREEN
YELLOW => START POINT
BLUE => END POINT
GREEN => GENERATED PATH
Explored area has a gradient from YELLOW to BLUE for each iteration.
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
ament_copyright | |
ament_flake8 | |
ament_pep257 | |
rclpy |
System Dependencies
Name |
---|
python3-pytest |
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged pathplanners at Robotics Stack Exchange
![]() |
pathplanners package from path-planning-algorithms repopathplanners |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | TODO: License declaration |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | ROS2 project to visualise path planning algorithms used in Robotics. |
Checkout URI | https://github.com/maker-atom/path-planning-algorithms.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2023-11-08 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | algorithms robotics path-planning ros2 |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- aditya
Authors
Path-Planning-Algorithms-with-ROS2
Table of Contents
ToDo:
- Potential function for the complex algo
- Explore neighbors
- Takes a node and returns all its neighbor
- Explore neighbors
- Should this be encapsulated in base Algorithm class?
About
Design aspects of system
Preliminary data such as map with obstacle, initial and goal position, common to all algorithms will be provided with node - map_node
Each algorithms can be executed using its own python node.
Complex algorithms which requires functionalities present in simpler can be derived easily as the codebase it OOP based.
PlayGround
bringup.launch.py
Launches rviz2 for visualization of algorithms and
map_node which provided the preliminary data
map_node
Has the preliminary map defined.
Publishes
Map with obstacles
initial and goal pose embedded within the map
map data is first stored in 2d matrix represented as x, y
Instead of adjacency list, the preliminary map is transmitted.
Serves service `get_map` requested by individual algorithms for preliminary map.
Since this wont be changing over time and will be required only once service has been used,
instead of topic.
algo_nodes
Waits for the GetMap service and requests the service for map with obstacles with initial and goal pose.
Instead of using sync service, using a flag to wait for the response.
Service callback method converts the data into 2D matrix for manipulation.
Within the timer loop BFS traversal is performed and each node is marked visited denoted in the map itself.
After each iteration of master loop color of visited cells is increased in spectrum for visualization.
Path is back tracked using `parent` attribute and path is generated.
Color Scheme of CostMap:
-128 to -2 => RED to YELLOW
-1 => GREY
0 => BLACK
1 to 98 => BLUE to RED
99 => CYAN
100 => PINK
101 to 127 => GREEN
YELLOW => START POINT
BLUE => END POINT
GREEN => GENERATED PATH
Explored area has a gradient from YELLOW to BLUE for each iteration.
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
ament_copyright | |
ament_flake8 | |
ament_pep257 | |
rclpy |
System Dependencies
Name |
---|
python3-pytest |
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged pathplanners at Robotics Stack Exchange
![]() |
pathplanners package from path-planning-algorithms repopathplanners |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | TODO: License declaration |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | ROS2 project to visualise path planning algorithms used in Robotics. |
Checkout URI | https://github.com/maker-atom/path-planning-algorithms.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2023-11-08 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | algorithms robotics path-planning ros2 |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- aditya
Authors
Path-Planning-Algorithms-with-ROS2
Table of Contents
ToDo:
- Potential function for the complex algo
- Explore neighbors
- Takes a node and returns all its neighbor
- Explore neighbors
- Should this be encapsulated in base Algorithm class?
About
Design aspects of system
Preliminary data such as map with obstacle, initial and goal position, common to all algorithms will be provided with node - map_node
Each algorithms can be executed using its own python node.
Complex algorithms which requires functionalities present in simpler can be derived easily as the codebase it OOP based.
PlayGround
bringup.launch.py
Launches rviz2 for visualization of algorithms and
map_node which provided the preliminary data
map_node
Has the preliminary map defined.
Publishes
Map with obstacles
initial and goal pose embedded within the map
map data is first stored in 2d matrix represented as x, y
Instead of adjacency list, the preliminary map is transmitted.
Serves service `get_map` requested by individual algorithms for preliminary map.
Since this wont be changing over time and will be required only once service has been used,
instead of topic.
algo_nodes
Waits for the GetMap service and requests the service for map with obstacles with initial and goal pose.
Instead of using sync service, using a flag to wait for the response.
Service callback method converts the data into 2D matrix for manipulation.
Within the timer loop BFS traversal is performed and each node is marked visited denoted in the map itself.
After each iteration of master loop color of visited cells is increased in spectrum for visualization.
Path is back tracked using `parent` attribute and path is generated.
Color Scheme of CostMap:
-128 to -2 => RED to YELLOW
-1 => GREY
0 => BLACK
1 to 98 => BLUE to RED
99 => CYAN
100 => PINK
101 to 127 => GREEN
YELLOW => START POINT
BLUE => END POINT
GREEN => GENERATED PATH
Explored area has a gradient from YELLOW to BLUE for each iteration.
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
ament_copyright | |
ament_flake8 | |
ament_pep257 | |
rclpy |
System Dependencies
Name |
---|
python3-pytest |
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged pathplanners at Robotics Stack Exchange
![]() |
pathplanners package from path-planning-algorithms repopathplanners |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | TODO: License declaration |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | ROS2 project to visualise path planning algorithms used in Robotics. |
Checkout URI | https://github.com/maker-atom/path-planning-algorithms.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2023-11-08 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | algorithms robotics path-planning ros2 |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- aditya
Authors
Path-Planning-Algorithms-with-ROS2
Table of Contents
ToDo:
- Potential function for the complex algo
- Explore neighbors
- Takes a node and returns all its neighbor
- Explore neighbors
- Should this be encapsulated in base Algorithm class?
About
Design aspects of system
Preliminary data such as map with obstacle, initial and goal position, common to all algorithms will be provided with node - map_node
Each algorithms can be executed using its own python node.
Complex algorithms which requires functionalities present in simpler can be derived easily as the codebase it OOP based.
PlayGround
bringup.launch.py
Launches rviz2 for visualization of algorithms and
map_node which provided the preliminary data
map_node
Has the preliminary map defined.
Publishes
Map with obstacles
initial and goal pose embedded within the map
map data is first stored in 2d matrix represented as x, y
Instead of adjacency list, the preliminary map is transmitted.
Serves service `get_map` requested by individual algorithms for preliminary map.
Since this wont be changing over time and will be required only once service has been used,
instead of topic.
algo_nodes
Waits for the GetMap service and requests the service for map with obstacles with initial and goal pose.
Instead of using sync service, using a flag to wait for the response.
Service callback method converts the data into 2D matrix for manipulation.
Within the timer loop BFS traversal is performed and each node is marked visited denoted in the map itself.
After each iteration of master loop color of visited cells is increased in spectrum for visualization.
Path is back tracked using `parent` attribute and path is generated.
Color Scheme of CostMap:
-128 to -2 => RED to YELLOW
-1 => GREY
0 => BLACK
1 to 98 => BLUE to RED
99 => CYAN
100 => PINK
101 to 127 => GREEN
YELLOW => START POINT
BLUE => END POINT
GREEN => GENERATED PATH
Explored area has a gradient from YELLOW to BLUE for each iteration.
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
ament_copyright | |
ament_flake8 | |
ament_pep257 | |
rclpy |
System Dependencies
Name |
---|
python3-pytest |
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged pathplanners at Robotics Stack Exchange
![]() |
pathplanners package from path-planning-algorithms repopathplanners |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | TODO: License declaration |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | ROS2 project to visualise path planning algorithms used in Robotics. |
Checkout URI | https://github.com/maker-atom/path-planning-algorithms.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2023-11-08 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | algorithms robotics path-planning ros2 |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- aditya
Authors
Path-Planning-Algorithms-with-ROS2
Table of Contents
ToDo:
- Potential function for the complex algo
- Explore neighbors
- Takes a node and returns all its neighbor
- Explore neighbors
- Should this be encapsulated in base Algorithm class?
About
Design aspects of system
Preliminary data such as map with obstacle, initial and goal position, common to all algorithms will be provided with node - map_node
Each algorithms can be executed using its own python node.
Complex algorithms which requires functionalities present in simpler can be derived easily as the codebase it OOP based.
PlayGround
bringup.launch.py
Launches rviz2 for visualization of algorithms and
map_node which provided the preliminary data
map_node
Has the preliminary map defined.
Publishes
Map with obstacles
initial and goal pose embedded within the map
map data is first stored in 2d matrix represented as x, y
Instead of adjacency list, the preliminary map is transmitted.
Serves service `get_map` requested by individual algorithms for preliminary map.
Since this wont be changing over time and will be required only once service has been used,
instead of topic.
algo_nodes
Waits for the GetMap service and requests the service for map with obstacles with initial and goal pose.
Instead of using sync service, using a flag to wait for the response.
Service callback method converts the data into 2D matrix for manipulation.
Within the timer loop BFS traversal is performed and each node is marked visited denoted in the map itself.
After each iteration of master loop color of visited cells is increased in spectrum for visualization.
Path is back tracked using `parent` attribute and path is generated.
Color Scheme of CostMap:
-128 to -2 => RED to YELLOW
-1 => GREY
0 => BLACK
1 to 98 => BLUE to RED
99 => CYAN
100 => PINK
101 to 127 => GREEN
YELLOW => START POINT
BLUE => END POINT
GREEN => GENERATED PATH
Explored area has a gradient from YELLOW to BLUE for each iteration.
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
ament_copyright | |
ament_flake8 | |
ament_pep257 | |
rclpy |
System Dependencies
Name |
---|
python3-pytest |
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged pathplanners at Robotics Stack Exchange
![]() |
pathplanners package from path-planning-algorithms repopathplanners |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | TODO: License declaration |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | ROS2 project to visualise path planning algorithms used in Robotics. |
Checkout URI | https://github.com/maker-atom/path-planning-algorithms.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2023-11-08 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | algorithms robotics path-planning ros2 |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- aditya
Authors
Path-Planning-Algorithms-with-ROS2
Table of Contents
ToDo:
- Potential function for the complex algo
- Explore neighbors
- Takes a node and returns all its neighbor
- Explore neighbors
- Should this be encapsulated in base Algorithm class?
About
Design aspects of system
Preliminary data such as map with obstacle, initial and goal position, common to all algorithms will be provided with node - map_node
Each algorithms can be executed using its own python node.
Complex algorithms which requires functionalities present in simpler can be derived easily as the codebase it OOP based.
PlayGround
bringup.launch.py
Launches rviz2 for visualization of algorithms and
map_node which provided the preliminary data
map_node
Has the preliminary map defined.
Publishes
Map with obstacles
initial and goal pose embedded within the map
map data is first stored in 2d matrix represented as x, y
Instead of adjacency list, the preliminary map is transmitted.
Serves service `get_map` requested by individual algorithms for preliminary map.
Since this wont be changing over time and will be required only once service has been used,
instead of topic.
algo_nodes
Waits for the GetMap service and requests the service for map with obstacles with initial and goal pose.
Instead of using sync service, using a flag to wait for the response.
Service callback method converts the data into 2D matrix for manipulation.
Within the timer loop BFS traversal is performed and each node is marked visited denoted in the map itself.
After each iteration of master loop color of visited cells is increased in spectrum for visualization.
Path is back tracked using `parent` attribute and path is generated.
Color Scheme of CostMap:
-128 to -2 => RED to YELLOW
-1 => GREY
0 => BLACK
1 to 98 => BLUE to RED
99 => CYAN
100 => PINK
101 to 127 => GREEN
YELLOW => START POINT
BLUE => END POINT
GREEN => GENERATED PATH
Explored area has a gradient from YELLOW to BLUE for each iteration.
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
ament_copyright | |
ament_flake8 | |
ament_pep257 | |
rclpy |
System Dependencies
Name |
---|
python3-pytest |
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged pathplanners at Robotics Stack Exchange
![]() |
pathplanners package from path-planning-algorithms repopathplanners |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | TODO: License declaration |
Build type | AMENT_PYTHON |
Use | RECOMMENDED |
Repository Summary
Description | ROS2 project to visualise path planning algorithms used in Robotics. |
Checkout URI | https://github.com/maker-atom/path-planning-algorithms.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2023-11-08 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | algorithms robotics path-planning ros2 |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- aditya
Authors
Path-Planning-Algorithms-with-ROS2
Table of Contents
ToDo:
- Potential function for the complex algo
- Explore neighbors
- Takes a node and returns all its neighbor
- Explore neighbors
- Should this be encapsulated in base Algorithm class?
About
Design aspects of system
Preliminary data such as map with obstacle, initial and goal position, common to all algorithms will be provided with node - map_node
Each algorithms can be executed using its own python node.
Complex algorithms which requires functionalities present in simpler can be derived easily as the codebase it OOP based.
PlayGround
bringup.launch.py
Launches rviz2 for visualization of algorithms and
map_node which provided the preliminary data
map_node
Has the preliminary map defined.
Publishes
Map with obstacles
initial and goal pose embedded within the map
map data is first stored in 2d matrix represented as x, y
Instead of adjacency list, the preliminary map is transmitted.
Serves service `get_map` requested by individual algorithms for preliminary map.
Since this wont be changing over time and will be required only once service has been used,
instead of topic.
algo_nodes
Waits for the GetMap service and requests the service for map with obstacles with initial and goal pose.
Instead of using sync service, using a flag to wait for the response.
Service callback method converts the data into 2D matrix for manipulation.
Within the timer loop BFS traversal is performed and each node is marked visited denoted in the map itself.
After each iteration of master loop color of visited cells is increased in spectrum for visualization.
Path is back tracked using `parent` attribute and path is generated.
Color Scheme of CostMap:
-128 to -2 => RED to YELLOW
-1 => GREY
0 => BLACK
1 to 98 => BLUE to RED
99 => CYAN
100 => PINK
101 to 127 => GREEN
YELLOW => START POINT
BLUE => END POINT
GREEN => GENERATED PATH
Explored area has a gradient from YELLOW to BLUE for each iteration.
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
ament_copyright | |
ament_flake8 | |
ament_pep257 | |
rclpy |
System Dependencies
Name |
---|
python3-pytest |