Shield AI maintains ongoing open dialogue with our customers and manufacturers throughout the design process. This ensures that our products are designed to suit our user’s unique needs and built to last.
Shield AI’s CTO continues his discussion of multi-robot collaboration. This time focusing on swarming and multi-robot collaboration’s journey to the mainstream.
Shield AI’s Co-Founder & CEO, Ryan Tseng, on the importance of values in creating a culture built on and centered around trust.
Reinforcement Learning (RL) is a branch of machine learning. At Shield AI, RL is applied to artificial intelligence to improve the performance of our robots.
We design hardware that you can trust. Part of that is designing for robustness and another part is designing the best customer experience possible.
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.
Android developers at Shield AI design applications to work for intelligent systems. We work to create highly intuitive and reliable apps that push Android to its limits.
My journey has led me to be a part of many impactful teams; from the military to Shield AI. I believe in the importance of teamwork -- and at Shield AI the success of the team is the focus.
Shield AI is focused on pushing the boundaries of machine intelligence and on expanding the notion of the possible.
Shield AI is working to solve difficult technical problems in pursuit of a noble purpose. The difficulty of the task encourages us to reach a little higher in pursuit of our mission.
At Shield AI, I apply my experience designing in the gaming world to create simulations. Using physics, we build virtual experiences for robots before they enter the real world.
Shield AI’s UX team leader on how to evaluate user experience and a three key actions to take to improve the design of the final product.
One of the biggest career risks engineers face is to be siloed into a specific role. At Shield AI, our electrical engineers are involved in all phases of the design cycle.
Modern machine intelligence is a combination of imitation (i.e. artificial intelligence), self-learning, extrospection, and introspection.
No team of talented people enters a room and sets out to design a product that fails to delight. So how does this happen? And how can it be avoided?
At Shield AI, the fundamental problems and complexities of human-machine interactions come to the fore as we develop artificially intelligent robotics.
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.
The word DevOps has become overloaded and overused. This post aims to clarify some of the confusion surrounding the term.
Trust plays a central role in robotics. We need to have tools we can trust to operate correctly in a high-performance, safe, predictable, and effective manner.
Shield AI’s Co-Founder and Technical Fellow on why he become interested in robotics and what’s exciting about building an autonomous system from the ground up.
State estimation and mapping are among the cornerstones of mobile autonomy. Knowing where the robot is and understanding its surroundings are fundamental requirements.
Shield AI’s Lead Systems Engineer shares the most important factors to consider when building a radio system for a robot.
Shield AI’s Co-Founder & COO on his time as a Navy SEAL, what makes a difficult journey worthwhile, and what the best leaders have in common.
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.
Effective man-machine collaboration requires establishing and keeping trust. Trust of autonomy must be earned through evidence that the technology is effective, predictable, and reliable.
Shield AI’s mission, to protect service members and civilians with AI systems, is woven into everything that we do and creates a sense of focused purpose everyday.
At Shield AI, we design custom hardware for mission-critical applications. We believe high-quality hardware can substantially improve system performance.
The greatest thing about working at Shield AI is being surrounded by teammates who are passionate about so many different things. Their zest for life is infectious.
At Shield AI, we believe that autonomous systems should be trustworthy and reliable. That constant focus on reliability, provability, and control is what drives all future development.
Shield AI’s Co-Founder & CEO on what motivated him to start the company, what lessons he has learned as an entrepreneur, and the 3 most influential texts he has read.
From determining how to elegantly showcase robot flight data to creating novel exploration algorithms, Shield AI offers the best place to compound your skills and intellect.
I joined Shield AI instead of a research group when I finished my Masters in Robotics. Here I work on state-of-the-art innovation and make a difference for people who need it.