Experimental Characterization of Fingertip Trajectory following for a 3-DoF Series-Parallel Hybrid Robotic Finger
Baiata, Nicholas, Chakraborty, Nilanjan
–arXiv.org Artificial Intelligence
Abstract-- T ask-space control of robotic fingers is a critical enabler of dexterous manipulation, as manipulation objectives are most naturally specified in terms of fingertip motions and applied forces rather than individual joint angles. While task-space planning and control have been extensively studied for larger, arm-scale manipulators, demonstrations of precise task-space trajectory tracking in compact, multi-DoF robotic fingers remain scarce. In this paper, we present the physical prototyping and experimental characterization of a three-degree-of-freedom, linkage-driven, series-parallel robotic finger with analytic forward kinematics and a closed-form Jacobian. A resolved motion rate control (RMRC) scheme is implemented to achieve closed-loop task-space trajectory tracking. We experimentally evaluate the fingertip tracking performance across a variety of trajectories, including straight lines, circles, and more complex curves, and report millimeter-level accuracy. T o the best of our knowledge, this work provides one of the first systematic experimental demonstrations of precise task-space trajectory tracking in a linkage-driven robotic finger, thereby establishing a benchmark for future designs aimed at dexterous in-hand manipulation. I. INTRODUCTION Task-space control is a cornerstone of modern robotics because it allows specifying and executing motions directly in terms of end-effector positions and orientations, which are quantities most relevant to manipulation tasks. In dexterous manipulation, we are rarely interested in individual joint angles; rather, we care about applying forces, displacements, and velocities at specific points on the fingertips or the grasped object.
arXiv.org Artificial Intelligence
Dec-3-2025
- Country:
- Asia > South Korea
- Europe
- France > Provence-Alpes-Côte d'Azur
- Alpes-Maritimes > Nice (0.04)
- Switzerland > Basel-City
- Basel (0.04)
- France > Provence-Alpes-Côte d'Azur
- North America > United States
- New York > Suffolk County > Stony Brook (0.04)
- Genre:
- Research Report > New Finding (0.46)
- Industry:
- Government > Regional Government (0.68)
- Technology:
- Information Technology > Artificial Intelligence > Robots > Manipulation (1.00)