roboinfra-sdk 1.0.8

Python SDK for RoboInfra — URDF validation, kinematic analysis, 3D model conversion and mesh analysis APIs for ROS developers

roboinfra-sdk

Python SDK for RoboInfra Robotics API for URDF validation, kinematic analysis, 3D model conversion and mesh quality analysis.

API: https://roboinfra-api.azurewebsites.net
Dashboard: https://roboinfra-dashboard.azurewebsites.net
PyPI: https://pypi.org/project/roboinfra-sdk/
GitHub Action: uses: roboinfra/validate-urdf-action@v1

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Installation

pip install roboinfra-sdk

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Quick Start

import roboinfra as roboinfra

# Create client with your API key from the dashboard
client = roboinfra.Client("rk_your_api_key_here")

# 1. Check API health (no auth needed)
status = client.health()
print(status["status"])          # "Healthy"

# 2. Validate a URDF file (Free plan)
result = client.urdf.validate("robot.urdf")
if result.is_valid:
    print("URDF is valid!")
else:
    for error in result.errors:
        print(f"  Error: {error}")

# 3. Kinematic analysis (Basic + Pro plan)
analysis = client.urdf.analyze("robot.urdf")
print(f"DOF: {analysis.dof}")
print(f"End effectors: {analysis.end_effectors}")

# 4. Convert 3D model (Pro plan)
output = client.model.convert("robot.obj", "fbx", "robot.fbx")
print(f"Saved: {output}")

# 5. Mesh quality analysis (Pro plan)
mesh = client.model.analyze("robot.stl")
print(f"Triangles: {mesh.total_triangles}")
print(f"Watertight: {mesh.is_watertight}")
if not mesh.is_watertight:
    print("WARNING: mesh has holes  will cause physics simulation issues!")

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Get an API Key

1. Register at roboinfra-dashboard.azurewebsites.net
2. Go to API Keys → Create key
3. Keys start with rk_
4. Free plan: 50 calls/month for URDF validation no credit card required

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API Reference

client.health() Public, no key needed

Check API connectivity and service status.

result = client.health()
# Returns dict:
# {
#   "status": "Healthy",
#   "version": "1.0.0",
#   "uptime": "2d 4h 12m"
# }

---

client.urdf.validate(file_path) All plans (Free/Basic/Pro)

Validates a URDF file against 9 structural checks.

result = client.urdf.validate("robot.urdf")

result.is_valid   # bool   True if all 9 checks pass
result.errors     # list   empty when valid, list of strings when invalid

9 checks performed:

1. Root element must be <robot>
2. At least one <link> must exist
3. No duplicate link names
4. No duplicate joint names
5. All joint parent links must reference a defined link
6. All joint child links must reference a defined link
7. Joint type must be valid (revolute, continuous, prismatic, fixed, floating, planar)
8. revolute and prismatic joints must include <limit>
9. Exactly one root link (no cycles, no orphans)

Valid URDF example:

result = client.urdf.validate("robot.urdf")
# result.is_valid → True
# result.errors   → []

Invalid URDF example:

result = client.urdf.validate("bad_robot.urdf")
# result.is_valid → False
# result.errors   → [
#     "Root element must be <robot>",
#     "At least one <link> must exist"
# ]

---

client.urdf.analyze(file_path) Basic + Pro plan

Kinematic analysis DOF, joint chain, end effectors.

result = client.urdf.analyze("robot.urdf")

result.robot_name      # str    name from <robot name="...">
result.link_count      # int    total links
result.joint_count     # int    total joints
result.dof             # int    degrees of freedom (non-fixed joints)
result.max_chain_depth # int    longest kinematic chain
result.root_link       # str    root link name
result.end_effectors   # list   end effector link names
result.joints          # list   joint details

Example:

result = client.urdf.analyze("robot.urdf")
# result.robot_name      → "sample_arm"
# result.dof             → 2
# result.end_effectors   → ["tool0"]
# result.joints[0]       → {"name": "joint_1", "type": "revolute",
#                            "parent": "base_link", "child": "link_1"}

---

client.model.convert(file_path, target_format, output_path) Pro plan

Convert 3D model files between formats. No Blender required.

output = client.model.convert("robot.stl", "obj", "robot.obj")
# Returns absolute path to saved output file

# All supported conversions:
# .fbx  → obj, stl, glb, gltf
# .obj  → stl, glb, gltf, fbx
# .stl  → obj, glb, gltf
# .gltf → obj, stl, glb
# .glb  → obj, stl, gltf
# .dae  → obj, stl, glb
# .3ds  → obj, stl, glb
# .blend→ obj, stl, glb

Examples:

client.model.convert("robot.stl", "obj",  "robot.obj")
client.model.convert("robot.obj", "fbx",  "robot.fbx")
client.model.convert("robot.fbx", "glb",  "robot.glb")
client.model.convert("robot.obj", "gltf", "robot.gltf")

---

client.model.analyze(file_path) Pro plan

Mesh quality analysis for physics simulation readiness.

result = client.model.analyze("robot.stl")

result.mesh_count       # int    number of mesh objects
result.total_vertices   # int    total vertex count
result.total_triangles  # int    triangle count after triangulation
result.material_count   # int    number of materials
result.has_bones        # bool   True if skeletal data detected
result.is_watertight    # bool   True if ALL meshes are watertight (required for physics)
result.bounding_box     # dict   {"x": 0.42, "y": 0.38, "z": 0.75}
result.center_of_mass   # dict   {"x": 0.0, "y": 0.0, "z": 0.21}
result.meshes           # list   per-mesh breakdown

Example:

result = client.model.analyze("robot_arm.stl")
# result.total_triangles → 30240
# result.is_watertight   → True
# result.bounding_box    → {"x": 0.42, "y": 0.38, "z": 0.75}

if not result.is_watertight:
    print("WARNING: mesh has holes  robot will fall through ground in Gazebo!")

---

Error Handling

from roboinfra import (
    RoboInfraError,   # base  any API error
    AuthError,        # 401  invalid API key
    PlanError,        # 403  endpoint requires higher plan
    QuotaError,       # 429  monthly quota exceeded
)

try:
    result = client.urdf.validate("robot.urdf")
except AuthError:
    print("Invalid API key  get one at roboinfra-dashboard.azurewebsites.net/keys")
except PlanError:
    print("Upgrade your plan at roboinfra-dashboard.azurewebsites.net/subscription")
except QuotaError:
    print("Monthly quota exceeded  upgrade or wait until next month")
except RoboInfraError as e:
    print(f"API error: {e} (HTTP {e.status_code})")

Note: 400 errors (bad file, oversized file) also count against your monthly quota. The SDK validates file size and extension locally before any HTTP call to avoid wasting quota on obvious errors.

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Plans and Limits

Plan	Price	Quota	Features
Free	$0/month	50 calls	URDF validation only
Basic	$25/month	500 calls	URDF validation + kinematic analysis
Pro	$75/month	5,000 calls	All features (3D conversion + mesh analysis)

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File Limits

Endpoint	Max file size	Allowed extensions
urdf.validate	1 MB	.urdf
urdf.analyze	1 MB	.urdf
model.convert	20 MB	.fbx .obj .stl .gltf .glb .dae .3ds .blend
model.analyze	20 MB	.fbx .obj .stl .gltf .glb .dae .3ds .blend

The SDK validates file size and extension locally before any HTTP call no wasted quota on obvious errors.

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CI/CD Integration

Option 1 GitHub Action (simplest, recommended)

No Python required. Just add 3 lines to your workflow:

# .github/workflows/validate-urdf.yml
name: Validate URDF
on: [push, pull_request]

jobs:
  validate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: roboinfra/validate-urdf-action@v1
        with:
          api-key: ${{ secrets.ROBOINFRA_API_KEY }}
          file: urdf/robot.urdf

Full docs: github.com/roboinfra/validate-urdf-action

---

Option 2 SDK inside a run step (more control)

Use this approach when you need custom logic multiple files, conditional checks, or integration with other tools:

- name: Validate URDF
  run: |
    pip install roboinfra-sdk
    python - <<'EOF'
    import roboinfra as roboinfra
    import sys
    client = roboinfra.Client("${{ secrets.ROBOINFRA_API_KEY }}")
    result = client.urdf.validate("urdf/robot.urdf")
    if not result.is_valid:
        print("URDF validation failed:")
        for e in result.errors:
            print(f"  - {e}")
        sys.exit(1)
    print("URDF valid!")
    EOF

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License

MIT