Yessica Rosas-Cuevas
Papers
2
Total Citations
11
H-Index
2
About
Yessica Rosas-Cuevas is a robotics researcher whose work bridges autonomous navigation, human-robot interaction, and mixed reality for critical applications. Her key research areas include real-time people detection for mobile robots, teleoperation systems for rescue missions, and the integration of computer vision with robotic control. In her most cited work, "People Detection and Localization in Real Time during Navigation of Autonomous Robots" (2016, 7 citations), she addressed the challenge of enabling robots to perceive and track humans in dynamic environments—a fundamental capability for safe human-robot collaboration. Her second major contribution, "Mixed Reality Applied to the Teleoperation of a 7-DOF Manipulator in Rescue Missions" (2016, 4 citations), explores how augmented reality interfaces can enhance operator situational awareness when controlling complex robotic arms in hazardous scenarios. This work tackles the longstanding challenge of complementing robot autonomy with human reasoning in time-critical rescue operations. Rosas-Cuevas’s research is particularly notable for its practical focus on real-world deployment, combining theoretical advances in perception and control with tangible applications in search-and-rescue robotics. Her contributions continue to inform the development of more intuitive and effective human-robot systems for emergency response.
Research Focus
Key Achievements
Top Papers
- 1
- 2