Papers

63

Total Citations

916

H-Index

17

About

Miguel Olivares-Mendez is a prominent robotics researcher whose work spans autonomous navigation, unmanned aerial vehicles (UAVs), swarm robotics, and space operations. Best known for his contributions to real-time motion planning and collision avoidance, his 2018 paper on 3D path planning for multirotor aerial robots in dynamic environments has accumulated 90 citations, while his 2020 work on chance-constrained motion planning with dynamic obstacles — addressing the challenge of safely navigating around unpredictable agents such as pedestrians — has garnered 87 citations. His research on UAV swarm coordination, combining chaotic ant colony algorithms with model predictive control, has further established him as a leading voice in intelligent multi-robot systems, earning over 60 citations. Beyond aerial robotics, Olivares-Mendez has expanded his scope to human-robot interaction, developing operator interfaces for multi-robot missions, and to wearable robotics, contributing a notable 2022 study on compact exoskeletons for industrial and space applications. His more recent work establishing a Zero-G laboratory for emulating space operations reflects an exciting trajectory toward orbital robotics and microgravity research, making him a versatile and forward-looking contributor to the field.

Research Focus

Key Achievements

17
H-Index
63
Papers
916
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A Real-Time 3D Path Planning Solution for Collision-Free Navigation of Multirotor Aerial Robots in Dynamic Environments
90 citations · 2018
📈 Most Prolific Year: 2024 (10 Papers)
🤝 Key Collaborators: 135
🏛 Institutions: University of Luxembourg, Universidad Politécnica de Madrid, Department of Space

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 33 days ago