Papers
2
Total Citations
21
H-Index
2
About
Jean Gallice’s research career has been centered on advancing robotic perception and control, with a particular focus on visual servoing and monocular pose estimation. His foundational work, “Robot Control using Monocular Pose Estimation” (1997, 12 citations), established early methods for enabling robots to interact with their environment using single-camera input—a critical step toward practical, cost-effective robotic systems. Gallice’s most influential contribution came with “8-4 Real time visual servoing around a complex object” (2000, 9 citations), where he introduced a novel approach for performing motion control around unknown objects by building invariant visual features. This work represented an important initial step toward perception-driven robotics, allowing machines to navigate and manipulate unmodeled objects in real time. While his citation counts reflect a focused, specialized audience, Gallice’s contributions helped lay groundwork for modern visual servoing techniques used in industrial automation and autonomous systems. His emphasis on real-time performance and invariant feature extraction demonstrated foresight into challenges that remain central to robotics today. For students exploring visual servoing, Gallice’s work offers a clear window into the early evolution of perception-based robot control.
Research Focus
Key Achievements
Top Papers
- 1Robot Control using Monocular Pose Estimation12 citations · 1997
- 28-4 Real time visual servoing around a complex object9 citations · 2000