Neil Tardella
Papers
2
Total Citations
4
H-Index
2
About
Neil Tardella’s research lies at the intersection of robotic manipulation, grasping, and humanoid control, with a focus on developing scalable, reusable frameworks for complex robotic systems. His most cited work, “Design, creation, and validation of a comprehensive database infrastructure for robotic grasping” (2008, 2 citations), introduces a pioneering approach that leverages large-scale memory storage to create a database of grasping algorithms. This infrastructure is designed to be broadly applicable across any robotic hand and arm, enabling more versatile and efficient grasping without the need for task-specific programming—a foundational step toward general-purpose robotic manipulation. In his related work, “A Generic Framework for Controlling Bi-Handed Robotic Manipulator” (2007, 2 citations), Tardella addresses the unique challenges of bi-handed humanoid robots, which feature redundancy and bifurcation. He provides a systematic design-to-implementation framework that allows multiple hands or tools to achieve precise positioning and orientation within the robot’s workspace. Though his citation counts are modest, Tardella’s contributions are notable for their emphasis on generic, database-driven solutions that reduce complexity in robotic control, offering practical pathways for advancing humanoid and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Generic Framework for Controlling Bi-Handed Robotic Manipulator2 citations · 2007