David Fernando Gonzales Encinas
Papers
1
Total Citations
3
H-Index
1
About
David Fernando Gonzales Encinas has made significant strides in robotic manipulation, with a primary focus on the design and control of adaptive grippers for industrial automation. His key research area centers on developing cost-effective, sensor-integrated end-effectors that enhance dexterous grasping of objects with varying shapes and materials. His most notable contribution is the design of a three-fingered gripper equipped with Force Sensing Resistor (FSR) technology, enabling real-time force feedback control. This work, published in 2020, demonstrates a practical approach to improving grip stability and safety by using rapid prototyping materials to create a functional, low-cost alternative to commercial systems. While his citation count is currently modest, with this paper accumulating 3 citations, the innovation lies in its accessible methodology—bridging the gap between academic research and real-world manufacturing needs. By prioritizing force sensing and adaptive control, Encinas’s research offers a scalable solution for multiform object handling, laying groundwork for future advancements in collaborative robotics and sensor-driven automation.
Research Focus
Key Achievements
Top Papers
- 1