Roshan Ragel
Papers
6
Total Citations
33
H-Index
3
About
Roshan Ragel is a leading researcher in autonomous systems, specializing in multirotor unmanned aerial vehicles (UAVs) and swarm robotics. His work bridges the gap between vision-based navigation and decentralized collective intelligence, with a focus on enabling UAVs to autonomously detect, track, and interact with ground targets. His most cited paper (2020, 12 citations) introduces a framework for multiple ground target finding and inspection using small UASs, leveraging advanced waypoint-based navigation for surveillance and ecological monitoring. Ragel further advanced this area with a vision-based multirotor UAV system (2018, 9 citations) that employs internal mapping and relative target localization. In swarm intelligence, his mixed-reality framework (2023, 7 citations) enables artificial swarm experiments, while his programming framework (2020) introduces novel behavior categorization and pheromone communication for robot swarms. More recently, Ragel has explored 3D semantic occupancy prediction for autonomous driving (2024) and cost-effective SLAM for swarm exploration (2025). With a growing citation impact and a trajectory toward practical, scalable multi-agent systems, Ragel’s contributions are shaping the future of autonomous robotics and intelligent sensing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4A Programming Framework for Robot Swarms2 citations · 2020
- 5
- 6Simultaneous Localization and Mapping with Cost Effective Sensors1 citations · 2025