This library provides an SDK for the Wandelbots NOVA API.
The SDK will help you to build your own apps and services using Python on top of Wandelbots NOVA and makes programming a robot as easy as possible.
robot_agnostic.mp4
Wandelbots NOVA is a robot-agnostic operating system that enables developers to plan, program, control, and operate fleets of six-axis industrial robots through a unified API, across all major robot brands. It integrates modern development tools like Python and JavaScript APIs with AI-based control and motion planning, allowing developers to build automation tasks such as gluing, grinding, welding, and palletizing without needing to account for hardware differences. The software offers a powerful set of tools that support the creation of custom automation solutions throughout the entire automation lifecycle.
- A running NOVA instance (Get a Wandelbots NOVA account on wandelbots.com)
- Valid NOVA API credentials
- Python >=3.10
Install the library using pip:
pip install wandelbots-nova
Install uv on your system.
Initialize a new uv project with the following command.
uv init
Install the library with the nova-rerun-bridge
extra to use the visualization tool rerun.
See extension README.md for further details.
uv add wandelbots-nova --extra nova-rerun-bridge
Download the robot models to visualize them in the rerun viewer.
uv run download-models
Wandelscript is a domain-specific language for programming robots. It is a declarative language that allows you to describe the robot's behavior in a high-level way. Wandelscript is suited to get yourself familiar with robot programming.
uv add wandelbots-nova --extra wandelscript
Here is a simple example of a Wandelscript program:
robot = get_controller("controller")[0]
tcp("Flange")
home = read(robot, "pose")
sync
# Set the velocity of the robot to 200 mm/s
velocity(200)
for i = 0..3:
move via ptp() to home
# Move to a pose concatenating the home pose
move via line() to (50, 20, 30, 0, 0, 0) :: home
move via line() to (100, 20, 30, 0, 0, 0) :: home
move via line() to (50, 20, 30, 0, 0, 0) :: home
move via ptp() to home
To get started, use the Quickstart. implementation details or contributing to Wandelscript, refer to the Wandelscript readme.
NOVAx is an app framework for building server applications on top of Wandelbots NOVA. It provides common core concepts like the handling of programs and their execution.
uv add wandelbots-nova --extra novax
To use NOVAx in your application, you need to create a new Novax
instance as an entrypoint.
from pathlib import Path
import uvicorn
from novax import Novax
@nova.program()
def simple_program():
print("Hello World!")
def main(host: str = "0.0.0.0", port: int = 8000):
# Create a new Novax instance
novax = Novax()
# Create a new FastAPI app
app = novax.create_app()
# Include the programs router
novax.include_programs_router(app)
# Register Python programs (existing functionality)
novax.register_program(simple_program)
# You can also register Wandelscript files
novax.register_program(Path(__file__).parent / "programs" / "program2.ws")
# Serve the FastAPI app
uvicorn.run(
app,
host=host,
port=port,
reload=False,
log_level=log_level,
proxy_headers=True,
forwarded_allow_ips="*",
)
Inspect the API at http://localhost:8000/docs
.
See the examples for usage of this library including 3D visualization.
For more details check out the technical wiki (powered by deepwiki), the official documentation or the code documentation.
Import the library in your code to get started.
from nova import Nova
You can access the automatically generated NOVA API client using the api
module.
from nova import api
Check out the basic and plan_and_execute examples to learn how to use the library.
You can find different categories of examples in the repository:
import nova
from nova import Nova
from nova.program import ProgramPreconditions
from nova.cell import virtual_controller
@nova.program(
preconditions=ProgramPreconditions(
controllers=[
virtual_controller(
name="ur10",
manufacturer=api.models.Manufacturer.UNIVERSALROBOTS,
type=api.models.VirtualControllerTypes.UNIVERSALROBOTS_MINUS_UR10E,
),
virtual_controller(
name="kuka",
manufacturer=api.models.Manufacturer.KUKA,
type=api.models.VirtualControllerTypes.KUKA_MINUS_KR16_R1610_2,
),
],
)
)
async def main():
async with Nova() as nova:
cell = nova.cell()
ur10 = await cell.controller("ur10")
kuka = await cell.controller("kuka")
async with ur10[0] as motion_group:
tcp = "Flange"
home_joints = await motion_group.joints()
current_pose = await motion_group.tcp_pose(tcp)
- Basic Point-to-Point movement
import nova
from nova import Nova
from nova.actions import cartesian_ptp, joint_ptp
from nova.types import Pose
@nova.program()
async def main():
async with Nova() as nova:
actions = [
joint_ptp(home_joints),
cartesian_ptp(current_pose @ Pose((100, 0, 0, 0, 0, 0))), # Move 100mm in X
joint_ptp(home_joints)
]
trajectory = await motion_group.plan(actions, tcp)
- Collision-free movement
from nova.actions import collision_free
from nova.types import Pose, MotionSettings
from math import pi
actions = [
collision_free(
target=Pose((-500, -400, 200, pi, 0, 0)),
collision_scene=collision_scene,
settings=MotionSettings(tcp_velocity_limit=30)
)
]
wandelbots-nova_simple_welding.mp4
- Multiple robot coordination
import asyncio
async def move_robots():
async with ur10[0] as ur_mg, kuka[0] as kuka_mg:
await asyncio.gather(
move_robot(ur_mg, "Flange"),
move_robot(kuka_mg, "Flange")
)
More information in move_multiple_robots.
- Input/Output control
from nova.actions import io_write, joint_ptp, cartesian_ptp
actions = [
joint_ptp(home_joints),
io_write(key="digital_out[0]", value=False), # Set digital output
cartesian_ptp(target_pose),
joint_ptp(home_joints)
]
- 3D visualization with rerun
# Basic 3D visualization (default)
@nova.program(
viewer=nova.viewers.Rerun()
)
async def main():
async with Nova() as nova:
cell = nova.cell()
controller = await cell.controller("robot1")
async with controller[0] as motion_group:
actions = [cartesian_ptp(target_pose)]
trajectory = await motion_group.plan(actions, tcp)
# Trajectory is automatically visualized in Rerun
# Advanced visualization with detailed panels and tool models
@nova.program(
viewer=nova.viewers.Rerun(
show_details=True, # Show detailed analysis panels
show_safety_zones=True, # Show robot safety zones
show_collision_link_chain=True, # Show collision geometry
tcp_tools={
"vacuum": "assets/vacuum_cup.stl",
"gripper": "assets/parallel_gripper.stl"
}
)
)
Note: Install rerun extras to enable visualization

- Custom TCPs (Tool Center Points)
import json
import nova
from nova import Nova
from nova.api import models
from nova.actions import cartesian_ptp
from nova.types import Pose
# Define TCP configuration
tcp_config = {
"id": "vacuum_gripper",
"readable_name": "Vacuum Gripper",
"position": {"x": 0, "y": 0, "z": 100}, # 100mm in Z direction
"rotation": {"angles": [0, 0, 0], "type": "EULER_ANGLES_EXTRINSIC_XYZ"}
}
@nova.program(
name="Add TCP",
preconditions=ProgramPreconditions(
controllers=[
virtual_controller(
name="robot1",
manufacturer=api.models.Manufacturer.UNIVERSALROBOTS,
type=api.models.VirtualControllerTypes.UNIVERSALROBOTS_MINUS_UR10E,
),
],
cleanup_controllers=False,
),
)
async def setup_tcp():
async with Nova() as nova:
cell = nova.cell()
controller = await cell.controller("robot1")
# Add TCP to virtual robot
tcp_config_obj = models.RobotTcp.from_json(json.dumps(tcp_config))
await nova._api_client.virtual_robot_setup_api.add_virtual_robot_tcp(
cell.cell_id,
controller.controller_id,
motion_group_idx=0,
tcp_config_obj
)
# Use the new TCP
async with controller[0] as motion_group:
current_pose = await motion_group.tcp_pose("vacuum_gripper")
# Plan motions using the new TCP
actions = [cartesian_ptp(current_pose @ Pose((100, 0, 0, 0, 0, 0)))]
trajectory = await motion_group.plan(actions, "vacuum_gripper")

- Common coordinate systems for multiple robots
from math import pi
import asyncio
import nova
from nova.api.models import CoordinateSystem, Vector3d, RotationAngles, RotationAngleTypes
from nova.actions import cartesian_ptp
from nova.types import Pose
@nova.program(
preconditions=ProgramPreconditions(
controllers=[
virtual_controller(
name="ur10",
manufacturer=api.models.Manufacturer.UNIVERSALROBOTS,
type=api.models.VirtualControllerTypes.UNIVERSALROBOTS_MINUS_UR10E,
),
virtual_controller(
name="kuka",
manufacturer=api.models.Manufacturer.KUKA,
type=api.models.VirtualControllerTypes.KUKA_MINUS_KR16_R1610_2,
),
],
cleanup_controllers=False,
),
)
async def setup_coordinated_robots():
async with Nova() as nova:
cell = nova.cell()
# Setup robots
robot1 = await cell.controller("ur10")
robot2 = await cell.controller("kuka")
# Define common world coordinate system
world_mounting = CoordinateSystem(
coordinate_system="world",
name="mounting",
reference_uid="",
position=Vector3d(x=0, y=0, z=0),
rotation=RotationAngles(
angles=[0, 0, 0],
type=RotationAngleTypes.EULER_ANGLES_EXTRINSIC_XYZ
)
)
# Position robots relative to world coordinates
await nova._api_client.virtual_robot_setup_api.set_virtual_robot_mounting(
cell="cell",
controller=robot1.controller_id,
id=0, # motion_group_id
coordinate_system=CoordinateSystem(
coordinate_system="world",
name="robot1_mount",
reference_uid="",
position=Vector3d(x=500, y=0, z=0), # Robot 1 at x=500mm
rotation=RotationAngles(
angles=[0, 0, 0],
type=RotationAngleTypes.EULER_ANGLES_EXTRINSIC_XYZ
)
)
)
await nova._api_client.virtual_robot_setup_api.set_virtual_robot_mounting(
cell="cell",
controller=robot2.controller_id,
id=0, # motion_group_id
coordinate_system=CoordinateSystem(
coordinate_system="world",
name="robot2_mount",
reference_uid="",
position=Vector3d(x=-500, y=0, z=0), # Robot 2 at x=-500mm
rotation=RotationAngles(
angles=[0, 0, pi], # Rotated 180° around Z
type=RotationAngleTypes.EULER_ANGLES_EXTRINSIC_XYZ
)
)
)
# Now both robots can work in the same coordinate system
async with robot1[0] as mg1, robot2[0] as mg2:
# Movements will be relative to world coordinates
await asyncio.gather(
mg1.plan([cartesian_ptp(Pose((0, 100, 0, 0, 0, 0)))], "tcp1"),
mg2.plan([cartesian_ptp(Pose((0, -100, 0, 0, 0, 0)))], "tcp2")
)

To install development dependencies, run
uv sync --extra "nova-rerun-bridge"
uv run ruff format
uv run ruff check --select I --fix
docker run --rm -it -v $(pwd):/data cytopia/yamllint -d .yamllint .
When working with feature branches or forks, it can be helpful to test the library as a dependency in other projects before merging. You can specify custom sources in your pyproject.toml to pull the library from a specific branch:
Using PEP 621-style table syntax:
wandelbots-nova = { git = "https://github.com/wandelbotsgmbh/wandelbots-nova.git", branch = "fix/http-prefix" }
Using PEP 508 direct URL syntax:
wandelbots-nova @ git+https://github.com/wandelbotsgmbh/wandelbots-nova.git@fix/http-prefix
Copy the provided .env.template
file and rename it to .env
:
cp .env.template .env
Open the .env
file in a text editor and fill in the values. Here's what each variable does:
Variable | Description | Required | Default | Example |
---|---|---|---|---|
NOVA_API |
Base URL or hostname of the Wandelbots NOVA server instance | Yes | None | https://nova.example.com or http://172.0.0.1 |
NOVA_USERNAME |
Username credential used for authentication with the NOVA service | Yes* | None | my_username |
NOVA_PASSWORD |
Password credential used in conjunction with NOVA_USERNAME |
Yes* | None | my_password |
NOVA_ACCESS_TOKEN |
Pre-obtained access token for Wandelbots NOVA (if using token-based authentication) | Yes* | None | eyJhbGciOi... |
Note: You can authenticate with Wandelbots NOVA using either username/password credentials or a pre-obtained access token, depending on your setup and security model:
- Username/password authentication: Ensure both
NOVA_USERNAME
andNOVA_PASSWORD
are set, and leaveNOVA_ACCESS_TOKEN
unset.- Token-based authentication: Ensure
NOVA_ACCESS_TOKEN
is set, and leaveNOVA_USERNAME
andNOVA_PASSWORD
unset.Use only one method at a time. If both are set, token-based authentication takes precedence.
Branch | Purpose | Published to | Example version |
---|---|---|---|
main |
Stable releases (semantic versioning vX.Y.Z) | PyPI (pip install wandelbots-nova ) |
v1.13.0 |
release/* |
LTS-releases, pre-releases or hotfixes for older lines | PyPI (labeled with release suffix) | v1.8.7-release-1.x |
any other | Development builds | GitHub actions (not published to PyPI) | e4c8af0647839... |
Merging into main triggers the release workflow:
semantic-release
analyzes commit messages and bumps the version automatically.- A source distribution and wheel are built and uploaded to PyPI.
- A GitHub release is created (or updated) with the release assets.
If you're on older major versions or under a special LTS contract:
- Use (or create) a branch like
release/1.x
,release/customer-foo
, etc. - Every commit to these branches triggers the same workflow as on
main
. - Versions include the branch name to prevent collisions, e.g.
v1.8.7-release-1.x
Need a temporary test build? Use GitHub actions:
-
Go to the actions tab.
-
Find Nova SDK: Build dev wheel and click
Run workflow
. -
Select a branch and trigger the job.
-
After completion, open the Installation step to copy the ready-to-use
pip install
command:pip install "wandelbots-nova @ git+https://github.com/wandelbotsgmbh/wandelbots-nova.git@<commit>"