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:
For a robotic system, exploration involves the system making decisions of where it should go in order to acquire information and learn about its environment. Multi-robot exploration applies to systems in which multiple robots are working together.
The concept of resiliency is rooted in psychology. When applied to robotic systems, resilient intelligence refers to the ability of the system to cope with unexpected challenges and adapt to overcome them.
Artificial intelligence is a broad field that encompasses many different aspects of what it means to create an intelligent system. Learning is a subset of intelligence. For robotic systems, learning typically refers to identifying relationships.
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.