Marco Tranzatto
Papers
10
Total Citations
927
H-Index
7
About
Marco Tranzatto is a robotics researcher whose work sits at the intersection of autonomous navigation, multi-robot systems, and subterranean exploration. His research focuses on enabling legged and aerial robots to operate collaboratively in complex, GPS-denied underground environments — a challenge that pushes the limits of robotic autonomy, mapping, and path planning. Tranzatto is perhaps best known for his central role in Team CERBERUS, the winning team of the prestigious DARPA Subterranean Challenge Finals in 2021. This landmark achievement, documented across several highly cited publications (collectively exceeding 350 citations), demonstrated resilient autonomous exploration using coordinated teams of walking and flying robots. His 2020 paper on graph-based subterranean exploration path planning (240 citations) laid critical algorithmic groundwork for navigating the large-scale, branching topologies characteristic of underground settings. Earlier in his career, Tranzatto contributed to real-world deployments of the quadrupedal robot ANYmal in industrial inspection and search-and-rescue competitions, work that has garnered over 200 citations and helped establish legged robots as viable field platforms. His participation in the Mohamed Bin Zayed International Robotics Challenge further reflects a consistent commitment to competitive, real-world validation of robotic systems. Across his body of work, Tranzatto has helped redefine what autonomous robot teams can achieve in the most demanding environments on Earth.
Research Focus
Key Achievements
Top Papers
- 1
- 2CERBERUS in the DARPA Subterranean Challenge225 citations · 2022
- 3Advances in real‐world applications for legged robots202 citations · 2018
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- 8The ETH‐MAV Team in the MBZ International Robotics Challenge7 citations · 2018
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