Cinema 4D Plugins

I extend Cinema 4D with my own tools. dip Cable generates flexible cables between two points. dip Chat puts an agent inside the scene: I talk to it, it acts on the objects. dip Rig is a complete piece of software inside the software: it generates a parametric rig that is already intelligent, with its own physics engine, and I talk to it directly. The video at the top of the page shows it: I ask, the arm stacks the cubes. This rig is described once and carried to the browser, to simulation, then to the real machine.

dip Chat connects Cinema 4D to AI agents through an MCP connector: the panel reads the scene, acts on objects, runs Python scripts and keeps a log of what was done, without tying the project to a single provider.

Technical details

General information

Architect / Creator: David Pichot

Development: Claude Code and Codex

Started: 2026

Development time: 11 days

Suite: dip Cable · dip Chat · dip Rig · dip web exporter

Technology

Environment: Cinema 4D

Language: Python

AI interface: external API + Claude Code

Portability: Python → JavaScript → physical robot

Native rig dependency: minimal

Metrics

Plugins and prototypes: 4

Current rig: 6-axis robotic arm

Generation: structure, joints, constraints, and base mesh

Physics: limits, effort, friction, and interaction with objects

Targets: Cinema 4D · browser · simulation · real robot

Status

Project status: in active development

dip Cable: Cinema 4D tag and web version, same computation

dip Chat: functional and evolving

dip Rig: parametric rig, physics and dialogue functional; perception and learning in progress

dip web exporter: export functional, real-time channel in progress

Problem

Cinema 4D is still one of my main design tools, but some of what I need now goes beyond what it was built for. My projects have to move between modeling, simulation, the browser, and the physical machine. A rig, a mechanical constraint, or a piece of physical information rebuilt separately in each environment eventually becomes several incompatible versions of the same system.

The problem was therefore less about adding features to Cinema 4D than about reducing the distance between designing, testing, and fabricating. Wiring a scene, automating it or articulating a robot are different problems, but they raise the same question: how can the creation tool keep information clean and portable enough to remain useful after it leaves Cinema 4D?

Response

I began turning Cinema 4D into a laboratory rather than a mere modeling tool. dip Cable generates flexible cables between two points. dip Chat opens the scene to language and to agents. dip Rig pushes this logic all the way to mechanics: axes, limits, motors, constraints and physics are described in an architecture independent of the native rig. A system designed once keeps living elsewhere: the same arm is handled in Cinema 4D, runs in a browser, trains in simulation, then faces its physical counterpart. Data from the real robot then corrects the virtual model. dip web exporter sends the scene out as a standalone iframe, brain included. Cinema 4D becomes one entry point of an architecture independent of the software hosting it.

Plugins

These tools were born from problems met in my projects. dip Cable builds the flexible links, dip Chat opens Cinema 4D to language and to agents, dip Rig turns the software into an environment for design, simulation and robotics, dip web exporter carries all of it to the browser.

Interactive dip Cable simulation: a flexible cable between two connectors. Pull the connectors and change the settings: the cable recomputes its shape.

dip Cable · Flexible cables

dip Cable was born from a practical need: quickly placing a cable between two points without modeling it by hand. Its diameter, available length, stiffness, weight, and fixed endpoints determine its shape; it then remains easy to manipulate as a single object.

The demo isolates this principle. Move the connectors or change the settings: the cable settles into a flexible shape while maintaining a consistent diameter. The same cable lives in Cinema 4D, as a tag placed on the object, and in the browser: one computation, two languages, identical positions on the test bench.

dip Chat · C4D Assistant

I developed dip Chat to turn Cinema 4D into a working environment for intelligence, rather than just an interface. The panel reads the scene, acts on objects, runs software commands, writes and launches Python scripts, controls an arm, and keeps a log of what has been done.

A connector exposes these tools to external agents without tying the project to a single provider. My goal is for an agent to observe the scene, intervene, check the result, change its approach or its own code, then try again.

Interactive 3D demo of dip Chat: choosing a camera and lighting a sculpture in Cinema 4D. Watch the AI change the lighting and orbit around the sculpture. Replay to watch again.

dip Chat gives the agent the context of the scene and the tools available in Cinema 4D. Scripted changes are grouped into a single undo step.

The scene shown here illustrates the intended loop: observe the result, detect what is not working, change the approach, and try again. The bridge, tools, and interface already exist; the autonomous sequence of these steps still needs to be connected.

The DIP Rig arm in three dimensions, brought out of Cinema 4D: you can rotate it, butterflies land on it, and you can talk to it. Ask it to stack the cubes: it plans, grasps and places. Rotate it to see its joints.

dip Rig · 3D Robotics

dip Rig turns Cinema 4D into a mechanics and robotics lab. The plugin generates an arm from a chain described as data: axes, limits, geometry, joint type, and end effector. The essential behavior does not depend on Cinema 4D: motors, physics, sensors, gestures, grasping, and learning live in autonomous Python modules, with no import c4d, so the same architecture can later run outside the software, in a browser, during training, or on a real robot. Each joint receives a goal rather than an imposed position. The servo model applies speed, torque, inertia, and effort, so a heavy load really slows the movement, a stop has a cost, and a gesture that is too fast is simply not followed.

The visual shows the arm running inside Cinema 4D. Manipulate it, activate its life, or ask it to grasp an object: the movements go through the same engine intended for the physical machine, with its limits, effort, and perception. Grasping is no longer simulated through an artificial attachment. The jaws close with force, the sensors reconstruct what they perceive, and the system progressively looks for surfaces that can support a grip instead of assuming it already knows the object. Learning is also separated from Cinema 4D so thousands of trials can run quickly, then the retained parameters can be transferred to the same body in the scene and, eventually, to the real robot.

Next steps

dip Cable moves from the tag to a native generator, with its conversion to a mesh for export. dip Rig continues the work on perception, grasping and learning, then carries the same building blocks to the browser and to the real robot. dip Chat follows the same direction: the panel, the bridge, the MCP tools and reversible execution exist; the next step connects a true agentic session that works inside Cinema 4D as in an IDE: observe the scene, act, check, change its approach or its own code, start again. dip web exporter sends a Cinema 4D scene out as a standalone iframe in the Genesis format: geometry, colors, light and brain. It allows real-time work on either side and generates the site's iframes automatically. In the long run these plugins form one shared workshop: what is built once in Cinema 4D serves simulation, a web experience or a physical machine, then comes back enriched by what the real world has taught. Cinema 4D becomes the meeting point of design, intelligence, simulation and manufacturing.

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