Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Cognibotics Secures €6.5 Million EU Funding for HKM1800 Robot Development
Cognibotics, a Swedish robotics firm, has received €6.5 million in funding from the European Innovation Council Accelerator under the Horizon Europe program. This funding comprises a €2.5 million grant and €4 million in equity financing, aimed at advancing the development and industrialization of the HKM1800 robot platform for logistics and manufacturing. The HKM1800 features a hybrid kinematic design that allows for delta-class speed and a workspace ten times larger than traditional robots, while consuming one-third less energy. The significance of this funding lies in its potential to enhance automation in Europe, addressing labor shortages and increasing throughput demands. The HKM1800 is designed to facilitate quick installation and achieve over 2,000 picks per hour within a 10 square meter workspace, effectively breaking the conventional speed/reach trade-off. CEO Fredrik Malmgren emphasized that this funding validates their technology and strategic direction, which focuses on both the robot and the software that supports it. Looking ahead, Cognibotics aims to leverage this funding to bring the HKM1800 to market and further develop its software and automation strategies. The project aligns with the growing need for scalable automation solutions in Europe. No further timeline was disclosed at the time of publication.
Business Financials & Investments News cognibotics EIC Accelerator European Innovation Council
A Fast and Robust Multistage Hybrid Algorithm for Inverse Kinematics of Redundant Mill Relining Manipulator
In May 2026, researchers published a significant study in the Journal of Field Robotics, focusing on advancements in robotic technology. This research, conducted by a team of engineers and scientists, explores innovative methodologies for enhancing the autonomy and efficiency of field robots used in various applications, including agriculture and disaster response. The study highlights the development of new algorithms that enable robots to navigate complex environments more effectively, which is crucial for tasks that require precision and adaptability. The motivation behind this research stems from the increasing demand for automation in sectors where human intervention is limited or hazardous. By employing advanced machine learning techniques, the team demonstrated how these robots could learn from their surroundings and improve their operational capabilities over time. The findings are expected to have a profound impact on the future of robotics, potentially leading to safer and more efficient solutions in critical areas. This publication marks a pivotal moment in the ongoing evolution of robotic systems, showcasing the potential for these technologies to transform industries and enhance human productivity.
RESEARCH ARTICLERobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
