Peter Schaldenbrand

PhD Candidate
Robotics Institute | Carnegie Mellon University
pschalde at andrew dot cmu dot edu

ABOUT
RESEARCH
EXPERIENCE
EDUCATION
PERSONAL

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

Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu, James McCann, Jean Oh
ICRA 2024 Best Paper on Human-Robot Interaction
ICRA Expo 2024 Finalist for Best Demonstration

Robot Synesthesia: A Sound and Emotion Guided AI Painter

Vihaan Misra, Peter Schaldenbrand, Jean Oh
IROS 2024 Nominated for Best Entertainment and Amusement Paper
AAAI workshop on Creative AI Across Modalities 2023

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

Peter Schaldenbrand, James McCann, Jean Oh
ICRA 2023 Finalist for Outstanding Deployed Systems Paper

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

Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu, Wenxuan Peng, Youngsik Yun, Andrew Hundt, Jihie Kim, Jean Oh
CVPR 2024

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

Peter Schaldenbrand, Zhixuan Liu, and Jean Oh
The 2022 International Joint Conference on Artificial Intelligence
The 2021 NeurIPS Workshop on Machine Learning for Creativity and Design Oral

Towards Real-Time Text2Video via CLIP-Guided, Pixel-Level Optimization

Peter Schaldenbrand, Zhixuan Liu, Jean Oh
NeurIPS Workshop on Creativity and Design 2022

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

Peter Schaldenbrand and Jean Oh
AAAI'21

Machine Traditional Animation: AniPainter

Peter Schaldenbrand and Jean Oh
Presented at a Workshop at RSS Website

Computer-Supported Human Mentoring for Personalized and Equitable Math Learning

2021 Conf. on Artificial Intelligence in Education (AIED21)
Paper
Introducing the Personalized Learning² application; designed to make mentoring more effecient in order to give minoritized students more learning opportunities.

Is the Doer Effect Robust Across Multiple Data Sets?

11th Conf. on Educational Data Mining
Paper
Kenneth Koedinger, Richard Scheines, and Peter Schaldenbrand
Establishing the causal effect between active resources in an educational environment and learning.
Workshops Organized & Teaching

CVPR'21 Workshop on Bridging the Gap between Subjective and Computational Measurements of Machine Creativity

Organizer

The 2021 Conference on Computer Vision and Pattern Recognition
Website
We are organizing a conference to highlight the differences between the way that humans and machines evalaute creativity, and begin a conversation on how to bridge this gap.

RSS'21 Robotics x Arts Exhibition: Opportunities and Issues in Robotics Applied in the Arts

Invited Artist

AniPainter
Sang Leigh (Georgia Tech), Jean Oh (CMU), Frank Dellaert (GT), Seth Hutchinson (GT), Peter Schaldenbrand, Gerry Cehn (GT), and Juan D Florez-Castillo (GT)

Causal Discovery with Tetrad in LearnSphere’s Tigris

Organizer

12th Conf. on Educational Data Mining
Paper
Richard Scheines, Peter Schaldenbrand, and Kenneth Koedinger

Visualizing Spotify Usage Data

Static Site GitHub
Peter Schaldenbrand and Paulina Davison
Interactive visualizations of a user's Spotify data using Altair, Vega, and Streamlit.

wav2midi: An Unsupervised Music Format Translation Model

Paper
Peter Schaldenbrand and Husni Almoubayyed
Convert arbitrary waveform audio music into MIDI format. Trained without paired wav-midi examples.

Non-Differentiable, Parametric Model Optimization via Causal Discovery

Paper
[In Progress] Optimize the parameters of a model using causal discovery algorithms. Allows for non-differentiable activation functions in the model.

Music Genre Classification Using Deep Learning Techniques

Paper
Peter Schaldenbrand and Yizhou He

Deep Learning for Music Generation

Paper Poster
Peter Schaldenbrand, Husni Almoubayyed, and Yizhou He

Real Time Learning Analytics for Intelligent Tutoring Systems

Poster
Kenneth Holstein, Zac Yu, Octav Popescu, Jonathan Sewall, Peter Schaldenbrand, Bruce M. McLaren, and Vincent Aleven

A Deep Dive into Water Contamination

Citadel - The Data Open 2018
Paper
Peter Schaldenbrand, Husni Almoubayyed, Zecong Hu, and Xinyi Ju

AnonImage

Website
In light of recent protests: Anonymize photographs by erasing humans from them.
LINKEDIN
I am a PhD candidate at Carnegie Mellon University's Robotics Institute advised by Professor Jean Oh. My research goal is to lower the barriers that people face in performing real-world acts of creativity such as painting or sculpting by creating new tools for artists using AI and Robotics. I am particularly interested in the challenges of generating content in the real world, e.g., creating images with a few painted brush strokes versus generating pixels on a computer screen. My work has won several awards including three categorical best paper nominations at ICRA and IROS, showing that Arts are a valuable domain for foundational Robotics research. My research has also been featured in The New York Times, documentaries, and local news coverage, demonstrating the public's interest in artistic robotics.

News

  • [October 2024] Robot Synesthesia was nominated for Best Entertainment and Amusment Paper at IROS 2024
  • [September 2024] I successfully proposed my thesis! Thank you to my committee: Prof. Jean Oh (Advisor), Prof. Jim McCann, Prof. Manuela Veloso, and Prof. Ken Goldberg
  • [September 2024] Our video on the history of robot painting was presented at ICRA@40
  • [September 2024] Our collaborative drawing work was featured on local news, WPXI
  • [May 2024] CoFRIDA won Best Paper on Human-Robot Interaction at ICRA 2024
  • [April 2024] CoFRIDA was a finalist for Best Demo at the ICRA Expo 2024
  • [August 2023] FRIDA was featured on the Australian Broadasting Company's documenter: AI vs Human: The Creativity Experiment
  • [May 2023] FRIDA was a finalist for Best Paper on Deployed Systems at ICRA 2023
  • [March 2023] Our work was featured in the New York Times

Research Programmer / Analyst

Carnegie Mellon University
Human-Computer Interaction Institute
2017 — July 2021
Personalized Learning²
Full-stack, lead developer on the Personalized Learning² project; addressing the opportunity gap for marginalized students. Created an interface for teachers and mentors at public schools in the Pittsburgh region to view data from their students’ usage of multiple Math tutoring software and access resources to intervene on students’ motivational and cognitive obstacles. Gave input on the designing of the tool and managed multiple design interns throughout its development process.
Learnsphere Tigris
Contributed improvements in full stack development to LearnSphere’s Tigris: An online workflow tool for analyzing, visualizing, and mining educational data
Presented and taught at workshops and CMU courses. Created videos to teach the software tools I contributed to.

Carnegie Mellon University
Robotics Institute

Doctor of Philosophy
GPA: 4.0
August 2021 —

The University of Pittsburgh

Bachelor of Science: Computer Science
GPA: 3.9
2013 — 2017

Central Catholic High School

Pittsburgh, PA
2009 — 2013

Volunteer

Muscular Dystrophy Association
Councelor and unit leader at MDA's summer camp for children with muscular diseases
2012 — 2020

Action

Volleyball
High school and college experience
Assisted coach at Central Catholic High School
Biking
You'll catch me outside on my bike as soon as the warm weather hits. I use it to find the best rock skipping spots in Western PA.

Music

Guitar, Saxophone, Bagpipes, Synthesizer in what small free time I find
Demo
Composition: Short Film
Background animation is a modified version of https://www.dwitter.net/d/1494
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