Papers
2
Total Citations
13
H-Index
2
About
Jocelyn Buisson is a robotics researcher whose work bridges the gap between autonomous manipulation and advanced visual perception. Her primary research areas include service robotics, visual servoing, and autonomous task planning for domestic environments. Buisson’s major contribution in "A Quantifiable Stratification Strategy for Tidy-up in Service Robotics" (2021, 8 citations) addresses the complex challenge of enabling a mobile manipulator to systematically tidy a messy living room by continuously selecting which object to grasp and deliver—a critical step toward practical home-assistance robots. She further advances the field with "Dual-Hemispherical Photometric Visual Servoing" (2024, 5 citations), which extends photometric visual servoing to full spherical cameras, leveraging wide field-of-view imagery to improve robot precision and robustness in dynamic settings. This work demonstrates her ability to integrate theoretical visual control with real-world robotic applications. Buisson’s research has been recognized for its practical impact, offering scalable solutions for domestic automation. Her innovative approaches to object selection and visual feedback are paving the way for more capable and intuitive service robots, making her a rising voice in autonomous systems and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1A Quantifiable Stratification Strategy for Tidy-up in Service Robotics8 citations · 2021
- 2Dual-Hemispherical Photometric Visual Servoing5 citations · 2024