ALL DRONES CAN FLY

But only the smart, autonomous ones, will deliver

The company’s birth resulted from the founders delivering a unique drone solution to a customer in their previous workplace. The drone was carrying a heavy payload with limited endurance. The end-user asked for the drone to have a safe, autonomous landing on the target area to allow for extended operations time. While they were looking for such a solution, the founders realized that not only did such a solution not exist but that once developed, such technology had virtually unlimited potential to be sold across a broad spectrum of industries. The founders then took a leap of faith, and Wonder Robotics was launched shortly thereafter.

The commercial use of drones will revolutionize numerous applications, from package delivery to infrastructure inspection, mapping, and more.

Large scale operations, especially in urban areas, depend on getting access to shared airspace and providing autonomous, safe operations anytime and anywhere.

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Wonder Robotics realized that a drone’s complex and diversified vision requirements cannot be satisfied by 2D or 3D vision capture alone. Our computer vision technology is modeled after and inspired by a human vision-based replica. This replica uniquely transcends prior art by combining short-range 3D depth perception with a long-range 2D vision for dramatically improved perspective, classification, shading, texture, and motion cues.

Our goal is to become a leading provider of intelligent and robust AI layers for autonomous and safe flights for both commercial and military drones by utilizing highly advanced vision-based capabilities.

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WonderLand is a highly unique solution that allows vertical take-off and landing (VTOL) drones to land safely and completely autonomously on any uncharted, unprepared, and unattended site, without operator involvement or supervision of any kind.

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BETTER PERFORMANCE

The WonderLand System

In its roadmap, Wonder Robotics will focus on a new generation of autonomous and advanced piloting assistance systems that will enable drones to rely on a variety of sensors to create an accurate 3D perception of the environment.

Measuring distance and creating a 3D model of the environment represents a necessary component for machine vision systems to comprehend the scene.

That comprehension, combined with a convolutional neural network, enables the system to identify objects and their respective distances and make the most appropriate decisions for the situation, in conjunction with other sensor modalities.

Idan Shimon

CEO, Co-Founder

Innovator & entrepreneur with 20 years in business leadership in the domains of drones & HLS.

Amnon Demri

CTO, Co-Founder

Engineer & entrepreneur specializing in robotics, sensors & visual based systems.

Or Epstein

CBO, Co-Founder

Experienced VP Sales and Business Development in Commercial Drone application, software products, 3D mapping and Aerospace industry.

YONATAN SADE

VP R&D

An experienced expert in real-time embedded systems as well as computer-vision, image algorithms and processing.

US Office

3 Germay Dr, Unit 4, #2281 Wilmington, DE 19804

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