Papers

7

Total Citations

38

H-Index

4

About

Alison Bartsch is a robotics researcher specializing in robotic manipulation, deformable object interaction, and the integration of large language models and foundational models into autonomous robotic systems. Her work addresses some of the most complex challenges in modern robotics, particularly the manipulation of 3D deformable materials such as clay and dough, where high degrees of freedom, self-occlusion, and unpredictable deformation dynamics make traditional approaches insufficient. Bartsch is perhaps best known for her SculptDiff and SculptBot frameworks, which leverage diffusion policies and pre-trained models to enable robots to perform clay sculpting tasks learned from human demonstration — an impressive step toward robots capable of creative, goal-directed physical work. Her OpenVR teleoperation system addresses the persistent bottleneck of collecting high-quality training demonstrations, while RoboChop and LLM-Craft demonstrate her interest in bringing autonomous reasoning into kitchen and crafting environments through foundational and large language models. Her PLATO system further advances natural language-guided tool manipulation. With works accumulating citations across multiple venues and spanning 2023 to 2026, Bartsch has rapidly established herself as a promising voice in embodied AI and dexterous robot manipulation, contributing both practical systems and foundational insights to the field.

Research Focus

Key Achievements

4
H-Index
7
Papers
38
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy
8 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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