Paige Gallant
Papers
1
Total Citations
3
H-Index
1
About
Paige Gallant is a researcher in robotics and automation, with a focus on the design and control of dexterous manipulation systems. Her work centers on advancing robotic gripping technologies for autonomous machinery and collaborative robots, addressing the complex challenge of mimicking the human grasp. In her most-cited paper, "Development and Simulation of a Control Strategy for a Two Finger Parallel Electric Gripper" (2020), she developed a novel control strategy that improves precision and adaptability in robotic end-effectors, contributing to safer and more efficient human-robot interaction. While her citation count is currently modest, her research lays important groundwork for the next generation of industrial and service robots. Gallant’s work is particularly relevant to students and researchers interested in mechatronics, control systems, and the practical implementation of bio-inspired robotic functions. Her contributions highlight the critical intersection of simulation and real-world application in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1