Industry Briefing

A single destination for timely, editor-curated robotics news from around the world.

Belgian Deep Tech Startup Completes ESA-Funded Feasibility Study to Advance Autonomous Drone Landing in GPS-Denied Environments

Belgian Deep Tech Startup Completes ESA-Funded Feasibility Study to Advance Autonomous Drone Landing in GPS-Denied Environments

Agilica BV, a company spun out from the Royal Military Academy of Belgium, has successfully completed a feasibility study funded by the European Space Agency (ESA) to create an innovative Alternative Positioning, Navigation, and Timing (PNT) system. This new technology aims to enhance precision drone navigation and landing capabilities in areas where Global Navigation Satellite System (GNSS) signals are weak or unavailable. This milestone marks a significant advancement in the commercialization of Agilica’s primary product, the AGL system. The development integrates compatibility with GNSS and the Galileo High Accuracy Service (HAS) into their Ultra-Wideband (UWB) positioning solution, targeting applications in maritime, logistics, and urban air mobility sectors.

agilica deep tech startup esa feasibility study autonomous drone landing
Teledyne FLIR Defense Expands Payload Program with Emesent Hovermap for GPS-Denied Operations

Teledyne FLIR Defense Expands Payload Program with Emesent Hovermap for GPS-Denied Operations

Teledyne FLIR Defense has announced an expansion of its Third-Party Payload Integration Program by incorporating Emesent’s Hovermap LiDAR payload, a development unveiled at the Modern Day Marine 2026 event. This integration enables the Hovermap system to function seamlessly across Teledyne FLIR’s unmanned aerial systems (UAS) and ground robots, enhancing capabilities in GPS-denied environments. The collaboration aims to improve operational efficiency and data accuracy in various defense applications, allowing for advanced mapping and radiation detection across both air and ground platforms.

Applications Defense Drone News Drone News Feeds Dual Use LiDAR
Vision‐Based Runway Detection and Localization for Aircraft Landing in Global Navigation Satellite System‐Denied Environments

Vision‐Based Runway Detection and Localization for Aircraft Landing in Global Navigation Satellite System‐Denied Environments

In the May 2026 issue of the Journal of Field Robotics, researchers have published a groundbreaking study that explores advancements in autonomous robotic systems. The study, conducted by a team of engineers and scientists, focuses on enhancing the navigation capabilities of robots in complex environments. This research aims to address the growing demand for efficient and reliable robotic solutions in various industries, including agriculture, logistics, and disaster response. The findings reveal innovative algorithms that enable robots to better interpret their surroundings and make real-time decisions, significantly improving their operational efficiency. The team conducted extensive field tests to validate their models, demonstrating the robots' ability to navigate challenging terrains while avoiding obstacles and adapting to dynamic conditions. This research is particularly timely as industries increasingly rely on automation to boost productivity and safety. By advancing the technology behind autonomous navigation, the study contributes to the broader goal of integrating robots into everyday tasks, ultimately transforming how businesses operate and respond to emergencies. The implications of this work could lead to more widespread adoption of robotic systems, paving the way for a future where robots play a crucial role in enhancing human capabilities.

RESEARCH ARTICLE
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