Revolute Robotics develops hybrid mobility robots designed for autonomous inspection and surveillance in challenging, confined, and complex environments. These robots seamlessly switch between ground rolling for energy efficiency and aerial flight for obstacle avoidance and omnidirectional mobility. The platform supports customizable payloads and GPS-denied navigation, enabling continuous data capture beyond visual line of sight for various industrial and security applications.
Funding
$440K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
NSNSUOFounders
Product
Problem
Many confined, complex, and extreme environments are difficult or dangerous for humans to access, making data collection for inspection and surveillance challenging. Traditional robots often lack the mobility required to navigate these spaces effectively, leading to incomplete or inefficient data capture.
Solution
Revolute Robotics offers a hybrid mobility robot (HMR) designed for autonomous data collection in challenging environments. The HMR can switch between ground-based rolling and aerial flight, enabling it to overcome obstacles and access areas inaccessible to conventional robots. This hybrid approach allows for extended operation, as the robot can drive to conserve energy and fly to avoid obstacles. The HMR's durable exoskeleton and GPS-denied navigation capabilities ensure reliable performance in confined spaces and beyond visual line of sight (BVLOS).
Target Audience
The primary target audience includes inspection crews, security services, first responders, and defense organizations operating in confined, complex, and extreme environments.
Features
- Hybrid mobility system enabling transition between ground rolling and aerial flight
- Durable exoskeleton for protection in confined and complex spaces
- Customizable payload options for interchangeable cameras and sensors
- Autonomous operation with intuitive mission planning algorithms
- GPS-denied navigation using LED lighting and stabilization sensors
- Multi-robot capabilities for continuous situational awareness on large sites