Papers
4
Total Citations
13
H-Index
3
About
Christelle Godin’s research sits at the intersection of robotic manipulation, grasp planning, and tactile sensing, with a focus on enabling adaptive, underactuated grippers to perform dexterous tasks. Her major contributions center on developing data-driven methodologies to model and explore the grasp space of multifingered grippers, addressing a persistent challenge in robotics: generating reliable grasps for known objects with minimal human input. Notably, her work on a human-initiated grasp space exploration algorithm, combined with variational autoencoders, demonstrates how limited manual demonstrations can efficiently guide a robot to discover robust grasp configurations. This approach, detailed in her 2021 and 2022 papers, has garnered attention with citations reaching up to 4, reflecting its relevance to the field. Additionally, Godin has contributed to tactile sensing systems, designing a matrix of 3-axis force sensors capable of measuring force and torque components—a critical advancement for dexterous manipulation. Her work bridges the gap between theoretical grasp planning and practical robotic applications, offering scalable solutions for adaptive grippers. For students and researchers, Godin’s research provides a compelling roadmap for tackling open issues in grasp space exploration, emphasizing efficiency and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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