Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Chiba University Researchers Enhance Control System for Flapping-Wing Robots in Windy Conditions
Researchers from Chiba University in Japan have developed a new control method for flapping-wing micro aerial vehicles (FW-MAVs) that significantly improves stability in windy conditions. This method addresses the limitations of existing control systems, reducing X-axis position error by 53.1 percent, which is crucial for applications like inspection and search-and-rescue operations. The importance of this advancement lies in the unique flight capabilities of FW-MAVs, which are inspired by birds and insects. Their ability to hover and maneuver in confined spaces makes them ideal for various applications, but their susceptibility to disturbances such as wind gusts has posed challenges. The new control method enhances their performance, enabling more stable and accurate flight. Looking ahead, the research paper detailing these findings will be published in the October issue of Control Engineering Practice, following its online release on June 4, 2026. The study's insights into non-minimum-phase behavior and its impact on disturbance correction will be critical for future developments in the field of aerial robotics.
Features Science aerial robotics autonomous flight Autonomous robots bio-inspired robotics
This 22-Year-Old SJTU PhD Is Building Flapping Wing Robots — and Sequoia Just Backed Him
Yingkong Zhivi, a pioneering company established by four PhD students from Shanghai Jiao Tong University, has successfully secured tens of millions of RMB in a Pre-A funding round. The investment was led by Yuanhe Origin, marking a significant milestone for the startup, which is recognized as the world's first entity dedicated to developing flapping wing robots with embodied intelligence. This innovative approach aims to enhance the capabilities of robotic systems, potentially transforming various applications in fields such as robotics and artificial intelligence. The funding will enable Yingkong Zhivi to further its research and development efforts, positioning it at the forefront of this emerging technology.
Robotics
New understanding of insect flight points way to stable flapping-wing robots
Cornell University researchers have developed a sophisticated computational model to analyze the intricate dynamics of insect flight. This groundbreaking study, led by David Nutt, reveals how the physical structure, or morphology, of insects influences their ability to stabilize during flight. The research aims to deepen the understanding of flight mechanics in both insects and birds, which, despite their seemingly effortless wing movements, operate under complex aerodynamic principles. The findings could pave the way for advancements in fields such as robotics and aerodynamics, enhancing the design of flying machines by mimicking the natural flight patterns observed in these creatures.
Cornell’s insect-inspired 3D model could allow flapping-wing robots to fly stably
Researchers at Cornell University have unveiled a groundbreaking 3D computational model designed to decode complex physical phenomena. This innovative model, which was developed over the past year, aims to enhance our understanding of various scientific processes by simulating intricate interactions within physical systems. The research team, led by a group of physicists and engineers, conducted extensive experiments and simulations to refine the model's accuracy and applicability. The development of this model is particularly significant as it addresses longstanding challenges in the field of physics, providing a tool that can potentially revolutionize how scientists approach problem-solving in areas such as material science, fluid dynamics, and even climate modeling. By leveraging advanced algorithms and high-performance computing, the researchers were able to create a more precise representation of physical interactions, which could lead to new discoveries and innovations. This work not only showcases the capabilities of modern computational techniques but also underscores the importance of interdisciplinary collaboration in advancing scientific knowledge. The findings of this research are expected to be published in a leading scientific journal, contributing to ongoing discussions and developments in the field.
New understanding of insect flight points way to stable flapping-wing robots
Researchers at Cornell University have developed a groundbreaking computational model that analyzes how the physical characteristics of insects influence their flight stability. This innovative study sheds light on the intricate dynamics that allow both bugs and birds to soar gracefully through the air, a phenomenon that has long been challenging to quantify. Conducted recently, the research aims to deepen our understanding of the evolution of animal flight. Additionally, the findings could serve as a valuable framework for the design of advanced flapping-wing robots, potentially revolutionizing the field of robotics.
RoboticsRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
