What is Deep Learning?
A conversation with Vivek Krishnan, an AI Engineer at Shield AI. This is the first part of our conversation about Deep Learning. What is deep learning? Deep learning is a specific branch of machine learning that creates models using deep neural networks. The two terms have become somewhat interchangeable — deep learning and deep neural […]
How Does Deep Learning Relate to AI?
A conversation with Chris Barngrover, Shield AI’s Director of AI Engineering – Scene Understanding. This is a continuation of our conversation about Deep Learning. How does deep learning relate to AI and machine learning? Artificial intelligence, or machine intelligence as we often think of it, is when a robot or machine runs algorithms that allow […]
Three Things to Evaluate When Visiting a Supplier
In addition to designing the software and the hardware for AI systems, Shield AI is also responsible for producing the hardware in our systems. To build our robots, we have established and cultivated relationships with suppliers from whom we source the materials. An essential step in our sourcing process is to conduct onsite assessments at […]
What is Tolerance Analysis?
A conversation with Gabe Mayo, Shield AI’s Vice President of Hardware Engineering. What is tolerance analysis and what it is used for? Tolerance analysis is about determining how close something is to the mark and how far it will deviate. We can explore the concept through the following example: Imagine you are taking a tightrope […]
Using AI to Amplify Human Ability
A conversation with Professor Nathan Michael, Shield AI’s Chief Technology Officer. This is a continuation of our conversation about Trust and Robotic Systems. Using AI to Amplify Human Ability We’ve spoken extensively about human expectations for AI systems. Are there other examples of something humans expect AI systems to do that is not necessarily inherently […]
On Humans Interpreting AI and Robot Behavior
A conversation with Professor Nathan Michael, Shield AI’s Chief Technology Officer. This is a continuation of our conversation about Trust and Robotic Systems. How do humans factor into trust of robotic systems? Humans trust engineered systems that adhere to performance expectations. If a system works as expected, we tend to trust it. Interestingly, if the […]
Trust and Robotic Systems
A conversation with Professor Nathan Michael, Shield AI’s Chief Technology Officer. This is a continuation of our conversation on Trust and Artificial Intelligence. What does trust mean in the context of robotic systems? For a robotic system, trust is about the system engaging as expected, in a consistent manner, time and time again.The more that […]
The Role of Trust in Hardware Design
A conversation with Christian Wester, Lead Mechanical Engineer at Shield AI. What is the role of trust in hardware design? First and foremost, we have to trust our teammates. Outcomes are not always what you expect and the way an organization reacts during these moments is telling. Trust requires that when things do not go […]
Shield AI Fundamentals: On Path Planning & Controls
A conversation with Connie Sun, an AI Engineer at Shield AI. What does planning refer to in robotics? Path and trajectory planning in the context of robotics refers to motion planning, or finding a path to reach a predetermined goal while avoiding obstacles and satisfying other constraints. This concept isn’t unique to robotics; people employ […]
Shield AI Fundamentals: On the Evolution of State Estimation
A conversation with Peter Lommel, Senior Principal Engineer and Head of Autonomy at Shield AI. This is a continuation of our 3-part conversation about the fundamentals of state estimation. Before reading on, we recommend reading part 1, Shield AI Fundamen Over your career, what have you witnessed with respect to the evolution of state estimation? […]
