Papers
22
Total Citations
249
H-Index
8
About
Daniel Bonilla Licea is a leading researcher at the intersection of robotics and wireless communications, pioneering the emerging field of communications-aware robotics. His work addresses a critical challenge: enabling mobile robots and drones to intelligently manage their wireless connectivity. He introduced the concept of "mobility diversity," a groundbreaking technique that exploits a robot’s controlled movement to actively improve radio signal quality and energy harvesting—a key contribution for autonomous systems operating in fading channels. His highly cited survey on deep learning for Visual SLAM (71 citations) has become a foundational reference for researchers combining computer vision with robot navigation. Dr. Bonilla Licea also made significant hardware contributions through the MRS Drone project, a modular, real-world platform for multi-robot aerial systems that has garnered over 55 citations across related publications. His work on path planning with memory for mobility diversity and physical layer security for omnidirectional multi-rotor vehicles demonstrates a consistent drive to unify robotic autonomy with robust, energy-efficient communication. By bridging these traditionally separate domains, his research is shaping the future of resilient, communication-aware robotic systems for 5G/6G networks and beyond.
Research Focus
Key Achievements
Top Papers
- 1Deep Learning Techniques for Visual SLAM: A Survey71 citations · 2023
- 2
- 3Improving Radio Energy Harvesting in Robots Using Mobility Diversity20 citations · 2016
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- 5Mobility Diversity-Assisted Wireless Communication for Mobile Robots15 citations · 2016
- 6When Robotics Meets Wireless Communications: An Introductory Tutorial13 citations · 2024
- 7Mobile Robot Path Planners With Memory for Mobility Diversity Algorithms11 citations · 2017
- 8
- 9Communications-Aware Robotics: Challenges and Opportunities7 citations · 2023
- 10