Papers
8
Total Citations
108
H-Index
5
About
Daniel Herrera is a researcher specializing in mobile robotics, human-robot interaction (HRI), and precision agriculture, with a particular focus on applying autonomous systems to real-world agricultural and social contexts. His most influential work explores the integration of service robots into precision agriculture environments, addressing critical challenges facing South American farming regions such as Chile and Argentina, where climate change, seismic activity, and resource scarcity threaten agricultural productivity. His 2015 paper on human-robot interaction in precision agriculture has garnered 38 citations, establishing him as a notable voice in this interdisciplinary domain. Herrera has made significant contributions to mobile robot control theory, developing extended kinematic models for differential-drive robots and impedance-based leader-follower formation control frameworks. His research into human interaction dynamics bridges behavioral science and robotics engineering, producing control laws that enable socially aware robot navigation — including legible motion in crossing and passing scenarios and null-space methods for personal space preservation. His port-Hamiltonian modeling work further demonstrates his command of rigorous dynamical systems approaches. Collectively accumulating over 100 citations, Herrera's body of work reflects a consistent commitment to making mobile robots safer, smarter, and more socially compatible across both agricultural and human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimization methodology to fruit grove mapping in precision agriculture21 citations · 2015
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- 5
- 6Trajectory tracking controller for differential-drive mobile robots5 citations · 2017
- 7Null-space based control for human following and social field avoidance4 citations · 2017
- 8Port-Hamiltonian modelling of a car-like robot2 citations · 2015