Ximena Alejandra Rojas Sierra

Papers

Total Citations

H-Index

About

Ximena Alejandra Rojas Sierra is a robotics researcher whose work centers on the intersection of dexterous manipulation and industrial automation. Her most-cited paper, "Finding Grasping Configurations of a Dexterous Hand and an Industrial Robot" (2006, 10 citations), tackles a fundamental challenge in robotic grasping: determining the precise joint configurations needed for a multi-fingered hand attached to an industrial arm to securely hold an object. By formulating this as an iterative optimization problem based on predefined grasping points, she provided a systematic method for bridging the gap between high-level grasp planning and low-level robot control. While her citation count reflects a focused, early-career contribution, the work is notable for addressing a practical bottleneck in integrating dexterous hands with traditional industrial robots—a problem that remains relevant as manufacturing demands greater flexibility. Rojas Sierra’s research offers a clear, algorithmic approach to a complex geometric and kinematic challenge, making her a valuable voice in the ongoing effort to make robotic manipulation more adaptive and reliable in real-world settings.