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Peter Schaldenbrand

9 accepted papers

2026

Spline-FRIDA: Towards Diverse, Humanlike Robot Painting Styles with a Sample-Efficient, Differentiable Brush Stroke Model

ICRA 2026poster

A painting is more than just a picture on a wall; a painting is a process comprised of many intentional brush strokes, the shapes of which are an important component of a painting's overall style and message. Prior work in modeling brush stroke trajectories either does not work with real-world robot…

2025

Spline-FRIDA: Towards Diverse, Humanlike Robot Painting Styles With a Sample-Efficient, Differentiable Brush Stroke Model

RA-L 2025

A painting is more than just a picture on a wall; a painting is a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">process</i> comprised of many intentional brush strokes, the shapes of which are an important component of a painting's overall style an

Cited by 5SourceScholar
2024

CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting

ICRA 2024poster

Prior robot painting and drawing work, such as FRIDA, has focused on decreasing the sim-to-real gap and expanding input modalities for users, but the interaction with these systems generally exists only in the input stages. To support interactive, human-robot collaborative painting, we introduce the…

Cited by 15SourcecodeScholar
2024

SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation

CVPR 2024poster

Accurate representation in media is known to improve the well-being of the people who consume it. Generative image models trained on large web-crawled datasets such as LAION are known to produce images with harmful stereotypes and misrepresentations of cultures. We improve inclusive representation i…

Cited by 17SourcePDFScholar
2023

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

ICRA 2023poster

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 prod…

Cited by 29SourcecodeScholar
2022

StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation

IJCAI 2022poster

Generating images that fit a given text description using machine learning has improved greatly with the release of technologies such as the CLIP image-text encoder model; however, current methods lack artistic control of the style of image to be generated. We present an approach for generating styl…

2021

Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent

AAAI 2021technical

The objective of most Reinforcement Learning painting agents is to minimize the loss between a target image and the paint canvas. Human painter artistry emphasizes important features of the target image rather than simply reproducing it. Using adversarial or L2 losses in the RL painting models, al…