June 29 – July 2, 2026 · San Francisco, CA · imported from ai.engineer's public schedule feed

AI Engineer World's Fair 2026 — unofficial import demo

Unofficial demo. This programme was imported from the AI Engineer World's Fair's own public schedule feed to show vibeboard at real conference scale. Not affiliated with, or endorsed by, the organisers.

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Robotics & World ModelsSponsor Session

From Manual Drones to Autonomous Multi-Agent Missions

Suchet Bargoti

When
Wednesday, July 12:25 PM – 2:45 PM · 20 min
Where
Track 2San Francisco, CA · imported from ai.engineer's public schedule feed
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About this session

Skydio is the leading U.S. drone manufacturer, deploying autonomous flying robots across critical infrastructure systems that keep nations running. Our products and technology are precipitating an evolution in how drones are operated: from direct, line-of-sight control via a handheld controller, to remote operation from anywhere in the world through a web browser where a single operator can orchestrate multiple drones simultaneously. Our customer fleet of flying robots represents one of the largest scale deployments of autonomous robots in the world today, a fusion of cutting edge robotics research with practical, data driven engineering across hardware and software, working together to save lives and increase efficiency for the critical industries we serve. In this talk, we will focus on the key components of the autonomy stack spanning the cloud and the edge that enable these operations, and how they give operators superpowers, allowing them to accomplish high-level objectives through a single command.

Speaker

Suchet Bargoti
Suchet Bargoti

Director of Inspection and Mapping, Skydio

Suchet Bargoti is Director of Inspection and Mapping at Skydio, where he leads work on autonomous drone systems for capturing, inspecting, and understanding critical infrastructure. His work spans field robotics, perception, and applied autonomy, with a focus on making drones reliable tools for collecting high-quality data in complex real-world environments.

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