Cristina Losada
Papers
16
Total Citations
311
H-Index
9
About
Cristina Losada is a leading researcher in indoor localization, mobile robotics, and intelligent autonomous systems, with a career spanning foundational sensor technologies to cutting-edge medical and assistive robotics. Her most cited work, "Comparing the Performance of Indoor Localization Systems through the EvAAL Framework" (82 citations), established critical benchmarks for evaluating positioning technologies, directly influencing the design of real-world tracking and navigation systems. She has made major contributions to multi-camera sensor networks for robot localization, developing methods to segment and track multiple mobile robots in complex environments using stereo vision and external vision sensors—work that underpins modern intelligent spaces. Her impact is further demonstrated through high-profile competition validations, such as the IPIN 2016 evaluation of indoor robot position tracking (20 citations). Notably, Losada has expanded into groundbreaking medical applications, leading the Core-Flow study (2024) on robotic-assisted mechanical thrombectomy with the CorPath GRX robot, and bridging research-to-market gaps with innovations like an intelligent autonomous wheelchair (2023). Her self-triggered formation control of nonholonomic robots (2019) also advances efficient multi-robot coordination, showcasing her ability to solve complex, real-world control challenges.
Research Focus
Key Achievements
Top Papers
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- 3Localization of Mobile Robots Using Odometry and an External Vision Sensor42 citations · 2010
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- 5Stereo Vision Tracking of Multiple Objects in Complex Indoor Environments23 citations · 2010
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- 8Self-Triggered Formation Control of Nonholonomic Robots14 citations · 2019
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