Jesus Aldaco

Aptiv (United States)

Papers

2

Total Citations

9

H-Index

2

About

Jesus Aldaco’s research focuses on advancing the modeling, design, and control of low-cost, cooperative robotic systems, with a particular emphasis on differential-drive ground vehicles. His major contributions lie in developing scalable frameworks for both single and multi-vehicle operations, addressing critical challenges in autonomous navigation and fleet coordination under uncertainty. His two-part study on low-cost differential-drive robotic ground vehicles (2017) has garnered foundational attention, with Part I receiving 5 citations and Part II receiving 4 citations, establishing a basis for cost-effective autonomous systems. This work is part of his broader vision for Flexible Autonomous Machines operating in an uncertain Environment (FAME), aiming to enable robust, cooperative behavior among robotic fleets using off-the-shelf components. Aldaco’s research is particularly notable for its practical approach to bridging theoretical control design with real-world implementation constraints, making autonomous robotics more accessible. His contributions are valuable for students and researchers interested in affordable robotics, multi-agent systems, and the intersection of control theory and field deployment.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Modeling, design and control of low-cost differential-drive robotic ground vehicles: Part I — Single vehicle study
5 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Aptiv (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago