Laura Petrich
Papers
8
Total Citations
62
H-Index
4
About
Laura Petrich is a robotics researcher whose work sits at the intersection of assistive technology, human-robot interaction, and learning from demonstration. Her key research areas include developing wheelchair-mounted robotic manipulators to improve functional independence, robot eye-hand coordination, and incremental learning through human interaction. Petrich's most cited paper, "A Quantitative Analysis of Activities of Daily Living" (2022, 24 citations), provides critical insights into how assistive robotics can help elderly and disabled individuals perform daily tasks independently. Her 2019 work on robot eye-hand coordination learning (18 citations) introduced an innovative inverse reinforcement learning approach that enables robots to learn visual task specifications by watching human demonstrations. Notably, her 2018 paper on online tool and task learning was one of five finalists in the KUKA Innovation Award competition, demonstrating her work's practical significance. Petrich's research uniquely bridges the gap between bottom-up robotics solutions and actual healthcare needs, as highlighted in her 2021 paper examining how current research intersects with real-world healthcare requirements. Her contributions are shaping the future of assistive robotics and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 5A Geometric Perspective on Visual Imitation Learning4 citations · 2020
- 6Online Tool and Task learning via Human Robot Interaction.3 citations · 2018
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