Camilo Perez
Papers
9
Total Citations
81
H-Index
4
About
Camilo Perez is a robotics and computer vision researcher whose work sits at the intersection of visual perception, human-robot interaction, and robotic manipulation. His research spans incremental machine learning for robot scene understanding, visual tracking, teleoperation, and visual servoing — areas where he has made meaningful contributions to bridging the gap between laboratory performance and real-world robotic deployment. Perez's most influential work focuses on enabling robots to learn continuously through human-robot interaction, leveraging Convolutional Neural Networks for adaptive visual scene understanding — a contribution that has garnered 34 citations and reflects growing community interest in practical, deployable robot perception. His 2013 work on registration-based visual tracking using approximate nearest neighbour search (17 citations) introduced a robust algorithm capable of handling larger per-frame motions than conventional methods, advancing real-time tracking reliability. Beyond perception, Perez has explored teleoperation interfaces, demonstrating how smartphone-based controls and predictive displays can make remote robot manipulation more accessible and delay-resilient. His work on transferring human grasping knowledge to robots and 4-DoF object tracking for fine manipulation further illustrates a consistent drive toward practical, human-centered robotics. With contributions spanning nearly a decade, Perez represents a researcher dedicated to making robots more perceptive, adaptable, and collaborative partners in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Incremental learning for robot perception through HRI34 citations · 2017
- 2
- 3
- 44-DoF Tracking for Robot Fine Manipulation Tasks5 citations · 2017
- 5
- 6A comparison of smartphone interfaces for teleoperation of robot arms4 citations · 2017
- 7
- 8Incremental Learning for Robot Perception through HRI4 citations · 2017
- 9Object trajectory prediction application to visual servoing3 citations · 2007