Carlos Herrero

Max Planck Institute of Quantum Optics

Papers

2

Total Citations

14

H-Index

2

About

Dr. Carlos Herrero is a leading researcher at the intersection of robotics and data science, best known for pioneering the integration of the Robot Operating System (ROS) with modern scientific computing ecosystems. His primary contributions center on developing RoboStack, a groundbreaking framework that seamlessly couples ROS with Conda package management and Jupyter interactive environments, enabling reproducible, cross-platform robotics development. This work has fundamentally transformed how researchers and engineers deploy and share robotic software, bridging the gap between traditional robotics middleware and the broader data science community. His most cited tutorial, "A RoboStack Tutorial" (2021), has garnered 12 citations, serving as a key reference for practitioners adopting this integrated workflow. By providing new ROS packages for Conda and demonstrating their utility through Jupyter notebooks, Herrero has made robotics development more accessible, reproducible, and scalable. His work represents a major step toward unifying the robotics and data science toolchains, empowering researchers to leverage powerful computational tools alongside ROS for advanced robotic applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
A RoboStack Tutorial: Using the Robot Operating System Alongside the Conda and Jupyter Data Science Ecosystems
12 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Max Planck Institute of Quantum Optics

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago