Antonio Rosales
Papers
3
Total Citations
9
H-Index
2
About
Antonio Rosales is a robotics researcher focused on the critical challenge of enabling robots to perform precise contact tasks in unstructured environments. His work centers on force control and visual servoing, addressing fundamental problems in industrial automation. Rosales has made significant contributions to the design of direct force control strategies for robots interacting with uneven surfaces, a common scenario in processes like polishing and drilling. His 2023 paper on this topic, which has garnered 5 citations, provides a framework for maintaining stable interaction forces despite surface irregularities, modeling unevenness as ramp disturbances. Expanding into vision-guided manipulation, his 2024 work on visual servoing based on 3D features proposes a method for robotic insertion tasks, using a camera on the robot’s end-effector to locate holes without contact, thereby avoiding damage and uncertainties. With a growing citation record, Rosales’s research directly advances the reliability and autonomy of industrial robots, bridging the gap between theoretical control and practical, real-world application.
Research Focus
Key Achievements
Top Papers
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