How It Works
Asset generation follows a straightforward pipeline:Write a text prompt
Describe the object you need. Include material, colour, size, and intended
purpose for best results. For example: “Heavy-duty industrial steel pallet
rack shelving unit, orange and blue”.
AI model processes your prompt
Gizmo’s generative model interprets the description and synthesises a 3D
mesh with textures, materials, and articulation structure.
Physics properties are auto-generated
Collision geometry, mass, inertia tensors, joint limits, and friction
parameters are automatically derived from the geometry — no manual
configuration needed.
What “Fully Articulated” Means
A fully articulated asset is one where every moveable or physically meaningful part of the object is properly represented in the simulation model:- Links — rigid bodies that make up the object’s structure (e.g., a stool’s seat, post, and base)
- Joints — connections between links that define how they can move relative to each other (revolute, prismatic, fixed)
- Collision geometry — simplified shapes that the physics engine uses for contact detection, distinct from the visual mesh
- Physics properties — mass, centre of mass, inertia tensor, contact friction, and restitution coefficients
Fully articulated assets load directly into Isaac Sim or MuJoCo and behave
physically from the first simulation step — no additional setup required.
Writing Effective Prompts
The quality of the generated asset is directly shaped by the specificity of your prompt. Vague prompts produce generic results; detailed prompts produce assets that closely match your simulation requirements. Examples:| Instead of… | Try… |
|---|---|
pallet rack | Heavy-duty industrial steel pallet rack shelving unit, orange and blue |
stool | Rolling medical stool with backrest, chrome base, and black vinyl seat |
lamp | Dainty brass pendant light with fluted glass shade |
bin | Red step-on biohazard waste receptacle with warning label |
bollard | Yellow steel safety bollard with black hazard stripes |
- ✅ Specify the material (steel, wood, vinyl, brass, fabric…)
- ✅ Include colour or finish (chrome, orange-and-blue, white marble…)
- ✅ Mention function or context (medical, industrial, warehouse, domestic…)
- ✅ Add distinguishing features (with backrest, with glass doors, with casters…)
- ❌ Avoid single-word prompts — they produce overly generic geometry
Supported Asset Types
Gizmo’s generation model covers a broad range of object categories relevant to robotics simulation. Below are representative examples from each category.Industrial & Warehouse
Objects found on factory floors and in fulfilment centres:
- Pallet Rack — shelving for pallet storage
- Safety Bollard — yellow steel post with hazard stripes
- Rolling Ladder — steel warehouse ladder with casters and handrails
- LED High Bay Light — round ceiling fixture with aluminium heat sink
Workstations & Furniture
Workbenches, seating, and storage for office or lab environments:
- Packing Station — industrial workbench with built-in scale and tape dispenser
- Kitchen Island — marble waterfall countertop with dark wood base
- Nightstand — wooden nightstand with single drawer
- Wall Cabinet — storage cabinet with glass doors and metal handles
Medical & Laboratory
Equipment for clinical and research simulation environments:
- Rolling Stool — medical stool with backrest, chrome base, and vinyl seat
- Biohazard Bin — red step-on receptacle with warning label
- Medical Wall Cabinet — wall-mounted storage with glass doors
Lighting
Fixture types for realistic scene illumination and appearance:
- Brass Pendant Light — fluted glass shade on a brass fitting
- Bedside Lamp — small table lamp with fabric shade
- LED High Bay — industrial round ceiling fixture
Retail & Commercial
Props for retail, food service, and public-space simulation:
- Shopping Cart — standard metal wire cart with red plastic handle
- Chalkboard Menu — framed board with hand-lettered text
Don’t see the category you need? Gizmo’s model handles a wide range of
everyday and industrial objects. Try describing your asset — if generation
quality is lower than expected, refine your prompt with more detail or reach
out at viswajit@antimlabs.com with a
feature request.