Daniele Morra
Papers
1
Total Citations
18
H-Index
1
About
Daniele Morra is a robotics researcher whose work lies at the intersection of aerial robotics, bio-inspired design, and autonomous control. His primary research focuses on enabling drones to navigate complex, cluttered environments—such as dense vegetation—by leveraging synergistic interactions between morphology, sensing, and feedback control. Morra’s most cited paper, “Synergistic morphology and feedback control for traversal of unknown compliant obstacles with aerial robots” (2024, 18 citations), introduces a paradigm shift from traditional obstacle avoidance to physical interaction, drawing inspiration from how animals push through compliant obstacles using their entire bodies. This work demonstrates how carefully designed drone morphology, coupled with real-time tactile feedback, can allow aerial robots to slide past and push through branches and foliage—a capability critical for applications in agriculture, search-and-rescue, and environmental monitoring. By bridging the gap between rigid robotics and the adaptive strategies of biological systems, Morra’s contributions are shaping the next generation of resilient, terrain-aware drones. His research is particularly notable for its interdisciplinary approach, merging mechanical design, control theory, and biological inspiration to solve real-world navigation challenges.
Research Focus
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Top Papers
- 1