Carlos Gracia
Papers
1
Total Citations
7
H-Index
1
About
Carlos Gracia is a researcher at the forefront of industrial robotics and computer-aided manufacturing (CAM), with a focus on enhancing automation for complex, high-precision tasks. His key research areas include robotic path planning, redundant manipulator control, and the seamless integration of CAD/CAM systems with industrial workcells. Gracia’s most cited work, “Automated Milling Path Tracking and CAM-ROB Integration for Industrial Redundant Manipulators” (2012, 7 citations), presents a pioneering implementation that links commercial CAD/CAM software (NX™) with an eight-joint KUKA™ KR15/2 manipulator for rapid prototyping of 3D models. This contribution addresses critical challenges in toolpath generation and real-time tracking, enabling more efficient and accurate automated milling. Though his citation count is modest, Gracia’s work is notable for bridging the gap between design software and robotic execution, offering practical solutions for industrial automation. His achievements underscore a commitment to advancing manufacturing technology, making his research valuable for engineers and students exploring the future of smart factories and robotic fabrication.
Research Focus
Key Achievements
Top Papers
- 1