Scholar
Peter Schaldenbrand
Google Scholar ID: L__iiuAAAAAJ
PhD Student, Carnegie Mellon University
Robotics
Machine Learning
Creative Artificial Intelligence
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
251
H-index
8
i10-index
8
Publications
15
Co-authors
5
list available
Contact
Twitter
Open ↗
GitHub
Open ↗
LinkedIn
Open ↗
Publications
4 items
TokenDial: Continuous Attribute Control in Text-to-Video via Spatiotemporal Token Offsets
2026
Cited
0
ShapeShift: Towards Text-to-Shape Arrangement Synthesis with Content-Aware Geometric Constraints
2025
Cited
0
Spline-FRIDA: Towards Diverse, Humanlike Robot Painting Styles with a Sample-Efficient, Differentiable Brush Stroke Model
arXiv.org · 2024
Cited
0
Robot Synesthesia: A Sound and Emotion Guided AI Painter
arXiv.org · 2023
Cited
0
Resume (English only)
Academic Achievements
Best Paper on Human-Robot Interaction, ICRA 2024
Finalist for Best Demonstration, ICRA Expo 2024
Best Entertainment and Amusement Paper, IROS 2024
AAAI Workshop on Creative AI Across Modalities 2023
Project Page, CVPR 2024
Oral Presentation, The 2022 International Joint Conference on Artificial Intelligence (IJCAI)
NeurIPS Workshop on Creativity and Design 2022
Project Page, AAAI'21
Paper, 2021 Conf. on Artificial Intelligence in Education (AIED21)
Paper, 11th Conf. on Educational Data Mining
Research Experience
CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting
Robot Synesthesia: A Sound and Emotion Guided AI Painter
Spline-FRIDA: Towards Diverse, Humanlike Robot Painting Styles with a Sample-Efficient, Differentiable Brush Stroke Model
FRIDA: A Collaborative Robot Painter with a Differentiable, Real2Sim2Real Planning Environment
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation
What's AI on YouTube: Towards Real-Time Text2Video via CLIP-Guided, Pixel-Level Optimization
Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent
Machine Traditional Animation: AniPainter
Education
PhD, Carnegie Mellon University, Advisor: Jean Oh.
Background
PhD Candidate, Robotics Institute, Carnegie Mellon University.
Miscellany
Organized multiple workshops on machine creativity such as CVPR'21, SIGGRAPH'21, and was an invited artist at the RSS'21 Robotics x Arts Exhibition.
Co-authors
5 total
Jean Oh
Robotics Institute, Carnegie Mellon University
James McCann
Carnegie Mellon University
Ken Koedinger
HCII, Carnegie Mellon University
Co-author 4
Jun-Yan Zhu
Assistant Professor, Carnegie Mellon University
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up