In partnership with Toronto Metropolitan University, SOTI Aerospace Announces Dr. Guangjun Liu as
SOTI Research Chair
Click HERE to read the full press release
Our research is focused on vision-based hardware and software systems to support self-navigating situationally aware aerial drones.
We are working with the best and brightest researchers, scientists and engineers from around the world on this journey. While our research is currently focused on healthcare applications, we see many other possibilities of how this technology can be applied.
Initial applications will be focused on the medical sector and search and rescue operations. Vision systems for indoor environments, including self-learning, situational understanding, automatic location of people and objects, self-navigation and smart avoidance are among the early priorities.
SOTI Aerospace drones are integrated with the SOTI ONE Platform, allowing administrators to remotely manage and support individual or fleets of drones. Some of the features built into every SOTI Aerospace drone include:
Central monitoring with location awareness and tracking via SOTI MobiControl
Real-time remote diagnostics and troubleshooting of issues, along with access to remote analytics to understand operating data via SOTI XSight
Remote firmware and software upgrades for drones and base stations via SOTI MobiControl
Real-time 3D mapping of spaces, routing, spatial understanding and learning with situational awareness.
Robotics based dynamic skins/frames to increase stability and minimize power consumption.
Awareness based indoor navigation with optimized/dynamic pathways, obstacle avoidance, and interaction with machines and other systems to facilitate intelligent navigation.
Research physical characteristics of drones to make them suitable for safe indoor use - people safe and pet friendly.
Control drones via voice, natural language, gestures or from an app.
