Camilo Perez Quintero
Papers
18
Total Citations
424
H-Index
10
About
Camilo Perez Quintero is a leading researcher in human-robot interaction (HRI), focusing on intuitive interfaces that bridge the gap between humans and robotic systems. His work spans augmented reality (AR) for robot programming, gesture-based command interfaces, and navigation for mobile robots in pedestrian-rich environments. A standout contribution is his 2018 paper on "Robot Programming Through Augmented Trajectories in Augmented Reality," which has garnered 143 citations, showcasing its impact on making robot programming accessible via mixed reality headsets like the Microsoft Hololens. His earlier work on "SEPO" (Selecting by Pointing) introduced a natural pointing gesture interface using Kinect sensors, laying groundwork for intuitive HRI. Quintero also advanced assistive robotics with the VIBI system, enabling upper-body disabled individuals to control robot arms, and developed the "Group Surfing" navigation approach for sidewalk robots, addressing real-world pedestrian interactions. His creation of a tracking benchmark for manipulation tasks (32 citations) has become a valuable resource for the field. With over 380 total citations, Quintero’s research consistently emphasizes practical, user-friendly solutions for robotics, from tele-manipulation virtual fixtures to multimodal AR systems, making him a key figure in shaping how humans and robots collaborate seamlessly.
Research Focus
Key Achievements
Top Papers
- 1Robot Programming Through Augmented Trajectories in Augmented Reality143 citations · 2018
- 2SEPO: Selecting by pointing as an intuitive human-robot command interface38 citations · 2013
- 3Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation38 citations · 2019
- 4VIBI: Assistive vision-based interface for robot manipulation34 citations · 2015
- 5Tracking benchmark and evaluation for manipulation tasks32 citations · 2015
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