Iris Automation
US safety avionics company that develops onboard AI-powered detect-and-avoid (DAA) systems enabling commercial drones to conduct safe BVLOS operations.
Iris Automation was founded in 2015 and is headquartered in San Francisco, California. The company develops onboard and ground-based perception systems for uncrewed aircraft systems (UAS), focused on enabling safe Beyond Visual Line of Sight (BVLOS) commercial drone operations. Its flagship product line, Casia, uses computer vision and machine learning to detect, classify, and avoid airborne traffic without GPS or transponder reliance.
The Casia 360 system provides a 360-degree radial field of view for omnidirectional collision avoidance. Iris Automation has completed 14 BVLOS test programs in partnership with regulators across the United States, Canada, United Kingdom, India, and South Africa, and has received operational approvals in those jurisdictions. In December 2020, the company closed a $13 million Series B financing round.
Customers include drone operators in infrastructure inspection, energy, and logistics sectors requiring regulatory approval for advanced commercial operations.
Primary type & automation activities this supplier delivers:
Casia 360
360-degree onboard computer vision detect-and-avoid system for commercial UAS enabling safe BVLOS drone operations.
Contact Iris Automation
WEBSITE
https://www.irisonboard.comPHONE
59911 (844) 827-2372HEADQUARTERS
United States
Company Facts
Founded
2015
Primary Role
Software/Algorithm
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
-
Funding Total
-
Terra Drone's Domestic Interception Drone 'Terra B1' Passes Defense Test, Moves to Mass Production Phase
On August 25, 2026, Terra Drone announced that its domestic interception drone, 'Terra B1', successfully passed the demonstration test conducted by the Acquisition, Technology & Logistics Agency (ATLA) and will advance to the mass production phase. This program aims to equip the Self-Defense Forces with effective drone countermeasures in response to the increasing security threats posed by attack drones. The significance of this development lies in the growing need for cost-effective defense solutions against low-cost attack drones, such as the Shahed UAVs used extensively in the Middle East. The ATLA's requirements for the 'Terra B1' included various performance metrics directly related to operational effectiveness and mass procurement, highlighting the importance of rapid and efficient defense capabilities. Looking ahead, Terra Drone plans to accelerate its production and supply system for the 'Terra B1', initially targeting the Japan Maritime Self-Defense Force, with future expansions to the Japan Air Self-Defense Force and Japan Ground Self-Defense Force. The ATLA has indicated a swift timeline for procurement, with contracts expected to be finalized by late August 2026, and delivery anticipated around September 2026. No further timeline was disclosed at the time of publication.
Libiao Robotics Enhances Arvato's Fashion Ecommerce Fulfillment with Advanced Sorting System
Libiao Robotics has implemented a flexible robotic sorting system for Arvato Türkiye, enhancing its ecommerce fulfillment capabilities at the Platform S distribution center in Istanbul. This investment aims to address the challenges of high SKU counts and fluctuating order volumes in the fashion retail sector. The new modular 3D Sorter features 66 autonomous robots and 14 shuttle induction stations, capable of processing up to 3,700 items per hour. This system not only increases sorting capacity but also allows for greater agility in responding to customer demands, reducing the need for traditional conveyor systems. Looking ahead, the successful deployment of this robotic solution within six months highlights the potential for rapid automation in logistics. As ecommerce continues to grow, Arvato's investment in Libiao's technology positions it to adapt to future demands and maintain competitive advantages in the market.
AMR and AGV Automation Systems and Shuttles Conveying and Sortation eFulfilment Magazine Features Materials Handling
Advancements in Smart Solar Technology Enhance Off-Grid Power Efficiency
Recent developments in solar technology focus on optimizing the use of photovoltaic (PV) surfaces rather than merely increasing the number of solar panels. This is particularly vital for off-grid systems, where every watt is crucial for remote locations such as agricultural facilities and telecommunications sites. Innovations like bifacial photovoltaics (PVs) allow for greater energy capture by utilizing both the front and back surfaces of the panels, leading to increased electricity production. The significance of these advancements lies in their potential to improve energy management and efficiency in off-grid applications. Bifacial modules can enhance energy generation by 9% to 15% based on ground conditions, with optimal performance observed with reflective surfaces like white gravel. This shift in focus from traditional monofacial panels to bifacial technology represents a critical evolution in solar energy systems, particularly for users without grid access. Looking ahead, the integration of high-efficiency cell architectures, such as TOPCon and heterojunction technologies, alongside bifacial configurations, promises even greater energy capture. The International Energy Agency indicates that efficiencies exceeding 60% on the rear side of bifacial cells are achievable, highlighting the importance of design and installation in maximizing solar energy potential. No further timeline was disclosed at the time of publication.
Energy Infrastructure Technology battery storage bifacial solar panels energy storage
Humanoid Robots Achieve Breakthroughs in Speed and Jumping at World Championships
On August 22, the National Speed Skating Hall hosted the grand opening of the second World Humanoid Robot Games, featuring 666 teams and 2056 robots from 16 countries. The Tian Gong Ultra humanoid robot set a new speed record of 9.32 seconds for the 100-meter dash and achieved a high jump of 2.8843 meters, surpassing human athletic limits. This event signals a significant shift in the robotics industry, showcasing advancements in autonomous capabilities. Key racing events like the 400-meter and 1500-meter races eliminated manual remote control, requiring robots to rely on their sensors for environmental perception, obstacle recognition, and autonomous route planning. While humanoid robots are not yet ready for large-scale human replacement, the integration of competition and production is accelerating the commercialization of technology. As these robots transition from the competition arena to industrial applications, the transformation of the robotics sector is just beginning.
Humanoid Robots Robot Autonomy Sports Robotics Industrial Automation
Yushu Robotics Expands International Rental Business with G1 Robots for Events
At a lively private birthday party in the United States, two silver Yushu G1 robots danced on stage, delighting guests. This scene exemplifies Yushu Robotics' overseas rental business, with daily rental fees reaching $3,000, excluding shipping and operator costs. Robonow Global has assembled a fleet of over 50 G1 robots, covering the entire U.S. market. The significance of this rental model lies in its ability to lower ownership costs for businesses and assist in calculating return on investment, as noted by Ethan Qi, Deputy Director at Counterpoint Research. However, the actual tasks performed by these rented robots often focus on entertainment and educational demonstrations rather than industrial applications, indicating a gap in their deployment in manufacturing. Looking ahead, Yushu Robotics' founder Wang Xingxing highlighted the industry's challenge of insufficient embodiment intelligence. He predicts that humanoid robots may achieve capabilities similar to ChatGPT within 2 to 10 years. As of August 25, Yushu's stock price has seen a decline, reflecting market skepticism about the robots' practical applications in production lines, suggesting that significant advancements are still needed before widespread industrial adoption occurs.
Service Robots Entertainment Robotics Robot Rental Research and Development Industrial Automation
Insights from the Humanoid Robot Olympics: Challenges and Investment Strategies
During the second World Humanoid Robot Olympics, unexpected failures highlighted critical reliability issues in robotics, according to Kang Yu, General Manager of the Capital Markets Department at Shoucheng Holdings. She emphasized that the event serves as an extreme test for robots, revealing the challenges they must overcome before mass production. Kang noted that this year's competition featured an increased focus on autonomy, with robots attempting to perceive and understand their environment. However, the complexities of ensuring consistency among multiple robots and maintaining stability during unexpected scenarios remain significant hurdles for the industry. Looking ahead, Kang indicated that Shoucheng Holdings plans to analyze the problems observed during the competition to identify investment opportunities across the robotics supply chain. The company is diversifying its investments beyond humanoid robots to include joints, materials, data, and computational power, emphasizing a holistic approach to developing embodied intelligence in robotics.
Humanoid Robots Robot Reliability AI Development Investment Strategy Robotics Industry
U.S. Air Force Transforms Aircraft Inspections with Asylon's Robot Dog and Drones
The U.S. Air Force's Warner Robins Air Logistics Center has awarded Asylon a Phase III SBIR contract to advance the MARIA system, integrating the Guardian drone and DroneDog robot dog for automated aircraft inspections. This system allows for rapid digital mapping of aircraft, significantly reducing inspection time from days to hours while eliminating the risks associated with manual high-altitude checks. The collaboration between the DroneDog and Guardian drone enables comprehensive inspections, identifying anomalies and defects autonomously. The data is transmitted in real-time to the DroneIQ platform, allowing maintenance personnel to review results through 2D workflows or 3D digital twin views. The system's core value lies in its speed and consistency, ensuring that inspections cover the same points each time, thus minimizing the randomness of manual checks. Currently programmed for the Lockheed C-5 and C-130 aircraft, the long-term goal is to expand the system's capabilities across all Warner Robins aircraft types and the broader Air Force logistics framework. Asylon aims to enhance the MARIA system with advanced AI anomaly detection and explore humanoid fleet management for concurrent maintenance tasks.
Robotic Inspection Aerospace Technology Drone Technology Automation Military Logistics
UK Army Commander Highlights Limitations of Ground Robots in Complex Battlefield Exercises
As military forces worldwide seek to learn from the Ukraine conflict, unmanned ground vehicles (UGVs) are being rapidly integrated into operations. However, a former frontline commander of the UK Army recently concluded that these machines are not always the right tools for the job. During a high-intensity exercise called 'Fusion Program Apex 6' at the National Training Center in California, UGVs were put to the test alongside troops from the UK and US. Colonel John Black from the Yorkshire Regiment noted that despite testing various use cases, significant challenges emerged regarding the practical application of ground robots in combat. Heavy logistical burdens were identified, as many mid-sized UGVs require trailers or flatbed trucks for transport, complicating battlefield mobility. Additionally, energy supply issues, including the need for extra batteries or fuel, further complicate operations. The exercise revealed that ideal operational ranges often fall short in complex terrains, with obstacles confusing most UGVs. Furthermore, maintaining stable remote control connections in a battlefield environment poses significant challenges. Black emphasized that while UGVs may address specific battlefield pain points, they are not universal solutions. The core value of such tests lies in understanding how unmanned systems can integrate into existing combat networks, potentially transforming the nature of warfare.
Unmanned Ground Vehicles Military Robotics Logistics Technology Autonomous Systems
Jitai Intelligent Introduces Specialized Robots for High-Risk Energy Supply Chain Operations
At the World Robot Conference in Beijing, Jitai Intelligent showcased two specialized wall-climbing robots designed for high-risk energy operations. One robot is tailored for inspecting water-cooled walls in thermal power plants, while the other is for external inspections of wind turbine blades. These innovations address significant safety concerns and operational inefficiencies in energy supply chains. The importance of these robots lies in their ability to enhance safety and efficiency in hazardous environments. Traditional inspection methods in thermal power plants require scaffolding and expose workers to extreme risks, while wind turbine inspections often suffer from high error rates and limited operational windows. Jitai's robots utilize advanced technologies such as permanent magnetic adhesion and vacuum suction, significantly improving inspection accuracy and reducing the risk of accidents. Looking ahead, Jitai Intelligent aims to further develop its technology to meet the evolving needs of the energy sector. The company has established a comprehensive technology framework and is working on a national standard for boiler inspection robots, expected to be released by the end of 2026. As the demand for predictive maintenance grows, Jitai's focus on integrating robotics into existing safety management frameworks will be crucial for future deployments.
Wall-Climbing Robots Energy Sector Automation Safety Technology Predictive Maintenance
Figure 03 Demonstrates Autonomous Climbing of 4.6-Meter Industrial Ladder
Figure 03 recently released a video showcasing its robot autonomously climbing a 4.6-meter industrial ladder and descending without remote control or pre-recorded paths. The robot must perform five simultaneous tasks: identifying rungs with cameras, accurately gripping, finding foot placements, controlling climbing rhythm, and redistributing its center of gravity with each movement. This achievement is significant as it deviates from traditional motion planning methods, utilizing the Helix system for real-time mapping and neural network calculations for joint movements. According to Adcock, this demonstration represents a real customer use case, highlighting the practical need for robots to navigate existing infrastructure in industrial settings, such as maintenance and material transport. The Figure 02 robot has been operational at BMW's Spartanburg plant for over a year, handling over 90,000 parts and running for more than 1,250 hours. Figure 03 builds on this by adding logistics sorting and vertical mobility, covering multiple levels within the facility. No further timeline was disclosed at the time of publication.
Humanoid Robots Industrial Automation Robotics Technology AI Autonomous Systems
