Papers
32
Total Citations
1,140
H-Index
15
About
Paloma de la Puente is a robotics researcher whose work spans autonomous aerial systems, human-robot interaction, and assistive robotics — fields where her contributions have garnered over 900 citations and established her as a notable voice in applied AI and robotics. Her most celebrated work applies deep reinforcement learning to autonomous UAV behavior, including a landmark 2018 paper on autonomous landing on moving platforms (221 citations) and laser-based reactive navigation for indoor flight (45 citations), demonstrating her commitment to making aerial robots genuinely capable in complex, real-world scenarios. She has also advanced fully autonomous search-and-rescue systems using learning-based techniques, a paper attracting 182 citations. Beyond aerial robotics, de la Puente has contributed meaningfully to human-robot interaction, exploring system transparency in shared autonomy frameworks (101 citations) and field-testing the Hobbit assistive robot in real household environments with elderly users — research with direct societal impact. Her 2020 work on VPS-SLAM introduced semantic mapping techniques tailored for aerial systems, further broadening her influence. From early 3D mapping for rescue missions (2009) to multi-UAV swarm architectures, her career reflects a sustained drive to bring intelligent, reliable robotic systems into challenging and socially meaningful applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3System Transparency in Shared Autonomy: A Mini Review101 citations · 2018
- 4VPS-SLAM: Visual Planar Semantic SLAM for Aerial Robotic Systems94 citations · 2020
- 5
- 6
- 7
- 8
- 9
- 10