Hummingbirds have extreme aerial agility and flight forms, which is why many drones and other aerial vehicles are designed to mimic hummingbird movement. Using a novel modeling method, researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.
Learn why growing hardware teams slow down as they scale, and how aligned workflows, parallel collaboration, and real-time design visibility restore speed and momentum.
In this episode, we explore how the mechanics of bird wings are inspiring new approaches to prevent airplanes from stalling and learn how bio-mimetic designs from nature are paving the way for innovations in aviation, enhancing stability and safety for future flights.
Taking inspiration from bird feathers, Princeton engineers have found that adding rows of flaps to a remote-controlled aircraft’s wings improves flight performance and helps prevent stalling, a condition that can jeopardize a plane’s ability to stay aloft.
An interview with Ryan Smart, VP of Product at Harwin, discussing the challenges of shielding in high-reliability connectors, high-current design trends, and the hybrid power-and-signal connector layouts.
Hummingbirds have extreme aerial agility and flight forms, which is why many drones and other aerial vehicles are designed to mimic hummingbird movement. Using a novel modeling method, researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.
In this episode, we talk about how a team from TUM has developed a system composed of collaborative drones that can create structure in remote and/or disastrous areas.
Flightmare is an open-source simulator for quadrotors that moves away from rigid paradigms and proposes a flexible modular structure that empowers the users or automated algorithms to fine-tune the simulator to the task at hand.
In this episode, we talk about how researchers are developing tools to keep us safe using technology that ranges from ultra-heat resistant tents for fighters to drones capable of discovering hidden landmines.
Engineers at EPFL and the University of Geneva believe they hold the key to automated drone mapping. By combining artificial intelligence with a new algorithm, their method promises to considerably reduce the time and resources needed to accurately scan complex landscapes.
In this episode, we talk about how an app leveraging 3 sets of machine learning algorithms aims to reduce waste and emissions by creating 3D models of feet and the hoverfly inspired AI that will be keeping airfields safe from small drones via acoustic mapping and filtering.