Coordinated drones can divide large fields, share crop and weed observations, and redirect effort toward emerging hotspots. The EU-funded SAGA project explored this approach for faster weed mapping and more targeted field treatment.
Collaborative autonomy · At the edge
I build efficient spatial intelligence for robots to perceive, navigate, and act together, envisioning a future defined by collaborative autonomy.
The vision
My vision is not one all-powerful robot. It is a collective of small, efficient machines that share spatial understanding, coordinate without a central point of failure, and create practical value for people.
Why collaboration matters
Collaboration turns limited robots into a capable collective.
Applications
A cooperative fleet can divide bridges and rail corridors into inspection zones, capture complementary viewpoints, and synchronize findings. The EU Drones4Safety project developed a collaborative swarm system and tested it in bridge and railway inspection cases.
The August 2026 Nepal–Tibet glacier collapse triggered a catastrophic flood with severe loss of life. At Blatten in 2025, surveillance and hazard assessment enabled residents to evacuate nine days before a rock–ice avalanche destroyed much of the Swiss village; no resident died.
Blatten was not monitored by cameras alone. On the evacuation day, ground-based interferometric radar was installed in the valley to track movement; a camera installed on the glacier’s eastern moraine the day before the collapse captured its final acceleration. Across the far larger, remote Himalaya, collaborative drones could complement satellites and selected ground sensors by repeatedly mapping difficult slopes and sharing changes for earlier risk assessment.
From swarm to system
Focusing on one at a time.
A capable collective begins with efficient intelligence on every robot.
Onboard processing
Parallel stages
Collaborative computation
I bet on two things at once.
Point to or tap each bet to see why
Bet 01 · Camera vision
Visual localization for collaborative agents.
Separate views become one shared understanding of motion and place.
Simplified from peer-reviewed 2024 IEEE research on collaborative dronesPoint to or tap a stage
Runs onboard every agent · useful observations move across the team
Bet 02 · FPGA-based SoC computing
FPGA-based systems-on-chip for low-volume, high-value applications.
Point to or tap a component
FPGA-based system-on-chip
Connect
Let’s make this
happen.
Let’s connect around collaborative robotics, visual localization, or efficient onboard computing.