Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
MIT and EPFL Unveil 250g Flapping Robot for Dual Aerial and Aquatic Navigation
MIT and EPFL have developed the Flapping-wing Aerial-Aquatic Vehicle (FAAV), weighing just 250 grams. This innovative robot can navigate both air and water, achieving a cruising speed of 6.3 meters per second in the air and 1 meter per second underwater. Remarkably, it can take off from water using only its wings, without any additional propulsion systems. The significance of the FAAV lies in its ability to overcome the challenges of transitioning between air and water, which have historically hindered the development of amphibious robots. The wings of the FAAV passively deform underwater, allowing for efficient movement and reduced motor load. This design enables the robot to exploit the surface tension of water for takeoff, a feat that has been difficult for previous models reliant on complex propulsion mechanisms. Looking ahead, the research team aims to complete the full flight-dive-flight cycle, which is yet to be validated. The FAAV has already demonstrated its capability to breach the water's surface, marking a significant milestone in the evolution of cross-medium robotic systems. No further timeline was disclosed at the time of publication.
Flapping Robots Aerial-Aquatic Vehicles Robotics Marine Technology
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
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.
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.
RoboFly.D—A Bio‐Inspired Hover‐Capable Flapping Wing Robot
In a recent publication in the Journal of Field Robotics, researchers have unveiled significant advancements in robotic navigation systems, particularly focusing on enhancing the accuracy and efficiency of autonomous vehicles. This study, released in May 2026, highlights innovative algorithms that enable robots to better interpret complex environments, thereby improving their decision-making capabilities. Conducted by a team of experts in robotics and artificial intelligence, the research aims to address the growing need for reliable navigation solutions in various applications, from urban transportation to agricultural automation. The findings suggest that by integrating advanced sensor technologies and machine learning techniques, robots can now navigate challenging terrains with unprecedented precision. The study was carried out in diverse settings, including urban landscapes and rural fields, to test the algorithms under real-world conditions. The motivation behind this research stems from the increasing reliance on autonomous systems in everyday life, necessitating improvements in their operational reliability and safety. Through extensive field trials and simulations, the researchers demonstrated that the new navigation systems significantly reduce the likelihood of errors, thereby enhancing the overall performance of autonomous vehicles. This work not only contributes to the field of robotics but also paves the way for future innovations in automated systems, ultimately aiming to facilitate safer and more efficient transportation solutions.
RESEARCH ARTICLERobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
