Daniel Pastor
Papers
3
Total Citations
11
H-Index
2
About
Daniel Pastor is a roboticist whose research centers on autonomous navigation, simultaneous localization and mapping (SLAM), and nonlinear dynamics for multirotor systems. His most significant contribution is his work with Team CoSTAR in the DARPA Subterranean Challenge, where he co-authored a key addendum to the NeBula autonomy solution. This 2024 paper (7 citations) extends the original framework to larger-scale, GPS-denied environments, detailing critical hardware, software, and algorithmic improvements that push the boundaries of autonomous exploration in complex subterranean settings. Earlier, Pastor developed a method for fast robot egomotion calculation using optical flow and visual features, enhancing SLAM RGB-D systems (2014, 2 citations). He also pioneered an episodic Koopman operator approach to learn nonlinear robot dynamics, applying it to achieve fast, optimal multirotor landing (2020, 2 citations). By blending classical SLAM techniques with modern learning-based control, Pastor’s work demonstrates a practical path toward more resilient and adaptive field robots, making him a notable emerging voice in autonomous systems research.
Research Focus
Key Achievements
Top Papers
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