Nicolas A. Olmedo
Papers
8
Total Citations
275
H-Index
7
About
Nicolas A. Olmedo is a robotics researcher whose work bridges the gap between autonomous navigation and environmental field robotics. His most influential contribution, the 2015 paper "Person tracking and following with 2D laser scanners," has garnered 195 citations and established foundational methods for enabling robots to reliably detect and follow human subjects using laser-based perception—a capability critical for human-robot interaction and collaborative applications. Olmedo’s research extends into challenging terrains, where he has developed unmanned ground vehicles (UGVs) for environmental monitoring and geotechnical surveying. Notably, his work on a modular robotic manipulator for soil sampling and terramechanics investigations (22 citations) and an automated vane shear test tool (9 citations) addresses the hazardous task of characterizing mine tailings deposits, improving safety and data quality in remote industrial settings. He has also contributed to system architecture design for multi-controller mobile robots and experimental methods for determining inertial properties of small robotic systems. With a portfolio that spans from core perception algorithms to field-deployed robotic tools, Olmedo’s research demonstrates a commitment to creating robust, practical systems that operate in both human-centric and extreme environments.
Research Focus
Key Achievements
Top Papers
- 1Person tracking and following with 2D laser scanners195 citations · 2015
- 2
- 3
- 4
- 5
- 6
- 7
- 8An improved terramechanics model for a robotic soil surface sampler2 citations · 2020