Human-Machine Teaming for the AI Era
Nova is the leading AI-powered aerial robot capable of both outdoor and autonomous indoor ISR operations. Nova enables fully autonomous access and exploration of buildings, dense urban environments and GPS-absent areas to produce better mission outcomes and to reduce risk to operators. Nova flies itself and works in the day and in darkness.
Nova is combat proven:
Nova offers outdoor and indoor reconnaissance
Searches buildings without a pilot
Streams real-time video and maps to operator
Provides the ability to label and measure maps
Operates in low and no-light conditions
Works in GPS- and comms-denied areas
Launches from stand-off distance or close to structure
Offers manual flight on demand
Returns to operator when exploration is complete
How does Nova fly itself?
Click to read more from Shield AI’s CTO Professor Nathan Michael, who has dedicated his career to building artificially intelligent systems:
At Shield AI, we engineer robotic systems that are able to adapt their behavior in order to augment, extend, mitigate, and support the user. This enables anyone to engage with our systems, having never worked with them, and perform as if they were experts.
Two things are required to build trust in robotic systems: Human understanding of how the system is expected to operate and reliable system performance adhering to expectation.
For a robotic system, trust is about the system engaging as expected, in a consistent manner, time and time again. This concept is not unique to robotics systems; it is true for any engineered system.
Shield AI’s CTO Nathan Michael addresses how the future of AI depends on trust and understanding, particularly the understanding that AI is not magic, it’s mathematics.
Trust is an important consideration within the field of artificial intelligence. Shield AI’s CTO Nathan Michael on the role of trust in AI.
Shield AI’s CTO Nathan Michael continues his discussion of multi-robot collaboration. This time focusing on swarming and multi-robot collaboration’s journey to the mainstream.
Shield AI’s CTO Nathan Michael on how we are developing systems that collaborate. Because they work together, they’re able to achieve an effect that is more significant than if they worked individually.
Just as people work together to achieve greater objectives than a single person could, multiple robots can work together to achieve what each could not accomplish alone.
Shield AI’s CTO on why he started researching multi-robot collaboration, how the technology has evolved over his career, and where it can make a difference.