# FRIDA: A Collaborative Robot Painter with a Differentiable, Real2Sim2Real Planning Environment

arXiv: https://arxiv.org/abs/2210.00664 · HTML: https://mlsanity.com/paper/2210.00664/

## Key facts

- Cited by 18 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Oct 2022.

## Built on by (most cited first, 18 of 18)

- [SketchAgent: Language-Driven Sequential Sketch Generation](https://mlsanity.com/paper/2411.17673/) (2024)
- [Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation](https://mlsanity.com/paper/2412.12089/) (2024)
- [SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation](https://mlsanity.com/paper/2401.08053/) (2024)
- [RT-Cache: Training-Free Retrieval for Real-Time Manipulation](https://mlsanity.com/paper/2505.09040/) (2025)
- [Skills Made to Order: Efficient Acquisition of Robot Cooking Skills Guided by Multiple Forms of Internet Data](https://mlsanity.com/paper/2409.15172/) (2024)
- [Neural Image Abstraction Using Long Smoothing B-Splines](https://mlsanity.com/paper/2511.05360/) (2025)
- [Segmentation-Based Parametric Painting](https://mlsanity.com/paper/2311.14271/) (2023)
- [SketcherX: AI-Driven Interactive Robotic drawing with Diffusion model and Vectorization Techniques](https://mlsanity.com/paper/2409.15292/) (2024)
- [RoboSVG: A Unified Framework for Interactive SVG Generation with Multi-modal Guidance](https://mlsanity.com/paper/2510.22684/) (2025)
- [AnimatePainter: A Self-Supervised Rendering Framework for Reconstructing Painting Process](https://mlsanity.com/paper/2503.17029/) (2025)
- [Robot Synesthesia: A Sound and Emotion Guided AI Painter](https://mlsanity.com/paper/2302.04850/) (2023)
- [AI as intermediary in modern-day ritual: An immersive, interactive production of the roller disco musical Xanadu at UCLA](https://mlsanity.com/paper/2511.06195/) (2025)
- [Patch-Based Spatial Authorship Attribution in Human-Robot Collaborative Paintings](https://mlsanity.com/paper/2602.17030/) (2026)
- [Data-Efficient Brushstroke Generation with Diffusion Models for Oil Painting](https://mlsanity.com/paper/2603.01103/) (2026)
- [IMPASTO: Integrating Model-Based Planning with Learned Dynamics Models for Robotic Oil Painting Reproduction](https://mlsanity.com/paper/2603.29315/) (2026)
- [Visual Sculpting: Visually-Aligned Planning Representations for Long-Horizon Robot Clay Sculpting](https://mlsanity.com/paper/2605.17556/) (2026)
- [Bridging Online and Offline Handwriting via Differentiable Physical Rendering](https://mlsanity.com/paper/2608.03198/) (2026)
- [TBR: Transport-Based Rendering with Deposition Strokes for Inverse Graphics](https://mlsanity.com/paper/2609.08722/) (2026)

## Abstract (arXiv)

Painting is an artistic process of rendering visual content that achieves the high-level communication goals of an artist that may change dynamically throughout the creative process. In this paper, we present a Framework and Robotics Initiative for Developing Arts (FRIDA) that enables humans to produce paintings on canvases by collaborating with a painter robot using simple inputs such as language descriptions or images. FRIDA introduces several technical innovations for computationally modeling a creative painting process. First, we develop a fully differentiable simulation environment for painting, adopting the idea of real to simulation to real (real2sim2real). We show that our proposed simulated painting environment is higher fidelity to reality than existing simulation environments used for robot painting. Second, to model the evolving dynamics of a creative process, we develop a planning approach that can continuously optimize the painting plan based on the evolving canvas with respect to the high-level goals. In contrast to existing approaches where the content generation process and action planning are performed independently and sequentially, FRIDA adapts to the stochastic nature of using paint and a brush by continually re-planning and re-assessing its semantic goals based on its visual perception of the painting progress. We describe the details on the technical approach as well as the system integration.