Fraunhofer IZFP’s Post

Increasing 🔹 energy efficiency 🔹road safety 🔹user acceptance Within EM-Tech we are addressing important questions in terms of electric vehicle development: 🔹How to reduce the environmental footprint, especially in terms of rare earth? 🔹How to reduce production costs and 🔹How to increase the vehicle range through higher component efficiency The results to be developed have been presented in the research paper "Innovative e-Machine and Power Electronics Solutions for e-Axle and e-Corner Vehicle Powertrains" by Bo Wang et. al. at FISITA 2023. To access the full paper, representing a common publication with HighScape, please access the results section of our project website https://lnkd.in/dQ5uaMx4 #sciencecommunication #horizoneurope #innovation #electricvehicles --- Our consortium: AVL coordinator I University of Surrey I Technische Universität Ilmenau I Smart Vehicle Systems - Working Group I University of Bath I IAAPS I Politecnico di Torino I Cars@Polito I Elaphe Propulsion Technologies Ltd. I Vaionic Technologies GmbH I Ideas & Motion I UrbanGold GmbH I Armengaud Innovate GmbH ---- EM-TECH is a selected project under the 2Zero partnership and active member of the E-VOLVE Cluster. CINEA - European Climate, Infrastructure and Environment Executive Agency.

This work address the challenge for #PA #noptic #S #egmen #T #ation #with #f #E #w #L #abels (#PASTEL) by exploiting the groundwork paved by visual foundation models. They leverage #descriptive #image #features from such a model to train two lightweight network heads for semantic segmentation and object boundary detection, using very few annotated training samples. They then merge their predictions via a novel fusion module that yields panoptic maps based on normalized cut. To further enhance the performance, they utilize #self-#training on unlabeled images selected by a #feature-#driven similarity scheme. They underline the relevance of our approach by employing #PASTEL to important robot perception use cases from autonomous driving and agricultural robotics.----Niclas Vödisch, Kürsat Petek, @Markus Käppeler, Abhinav Valada, Wolfram Burgard More details can be found at this link: https://lnkd.in/gwpeaXkk

🔊 𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐀𝐥𝐞𝐫𝐭 | 𝐍𝐞𝐰 𝐏𝐚𝐩𝐞𝐫 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐛𝐲 𝐈𝐀𝐔𝐍 𝐒𝐜𝐡𝐨𝐥𝐚𝐫𝐬! 🌟 We are proud to announce that our researchers have published the following paper: 💠 𝐏𝐚𝐩𝐞𝐫 𝐓𝐢𝐭𝐥𝐞: Leader-follower formation control of Euler-Lagrange systems with limited field-of-view and saturating actuators: A case study for tractor-trailer wheeled mobile robots 📚 𝐉𝐨𝐮𝐫𝐧𝐚𝐥: European Journal of Control | Elsevier 👨💻 𝐀𝐮𝐭𝐡𝐨𝐫𝐬: Amir Naderolasli, Khoshnam Shojaei , Abbas Chatraei 📖 𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭: In this paper, an adaptive-neural constrained controller is proposed for a group of Tractor-trailer wheeled mobile robots with limited field-of-view (FOV) constraints and saturating actuators. With an effective combination of the asymmetric Barrier Lyapunov function based control design and dynamic surface control in the proposed constrained controller, the limited FOV constraints are not transgressed the predefined and limited bounds. The risk of the actuators saturation is extremely decreased through restricting amplitudes of the output states errors. It is proved that all the output states in the closed-loop system are semi-globally uniformly ultimately bounded and the relative distance and orientation angles errors are converged in the limited and preassigned boundaries. Compared with the existing results, the proposed constrained controller not only assures that these states errors between consecutive TTWMRs are bounded, but also all the output states errors converge to a small region around zero in a fixed-time that this issue accelerates the convergence speed rate and improves the transient response performance of the perfect tracking control for all TTWMRs. 🔎 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬: #BarrierLyapunovFunction #DynamicSurfaceControl #EulerLagrangeSystems #IAUN #IRAN 🔗 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐩𝐚𝐩𝐞𝐫 𝐡𝐞𝐫𝐞: https://lnkd.in/gKUfvBZq 🔰 Join us in congratulating our researchers and feel free to share your thoughts and questions in the comments below! 🎓 𝐀𝐩𝐩𝐥𝐲 𝐭𝐨 𝐈𝐀𝐔𝐍: https://iaun.iau.ir

Germany as a pioneer in automated driving? 🚗 💪 Dr.-Ing. Silvia Thal is a research associate at the Institute of Automotive Engineering (IfF) at #TUBraunschweig and gives us insights into the status quo of research on #AutomatedDriving in our #Science2Go format. 🎥 👉 In order to statistically prove that automated vehicles cause fewer accidents than human drivers, around 2.7 billion kilometers would have to be covered on the road, explains Thal. 👉 As this test route is not feasible, the #IfF is using new methods, the scientist explains further: “We are pursuing a so-called data-driven approach. In other words, the idea is to use a test vehicle like the one we have here, the TEASY III, which is equipped with high-precision environmental sensors, to record measurement data from the traffic accident and then evaluate it statistically.” 💡 Discover the fascinating world of science with our #Science2Go format in collaboration with Innovationsgesellschaft Technische Universität Braunschweig mbH (iTUBS) and gain insights into various research areas at #TUBraunschweig. Learn more about knowledge transfer and technology transfer at: https://itubs.de/ 🎥 iTUBS #Mobility #Science #Research #Braunschweig

Grateful to share in this incredible team's success! I am delighted to share the publication of our latest research paper, "Vision-guided Robotic System for Aero-Engine Inspection and Dynamic Balancing," in Scientific Reports! This work introduces a first-of-its-kind vision-guided robotic system for precise weighing and balancing of aero-engine blades, using high-resolution imaging and a novel end-effector, automating critical inspection tasks and seamlessly integrating into existing industrial setups, advancing industrial automation 4.0 within the aerospace sector. Special thanks to the Advanced Research and Innovation Center, Khalifa University, and The Sanad Group for their generous support. Special thanks to Prof. Yahya Zweiri for his supervision, support, and guidance. Extended appreciation to Dr. Yusra Abdulrahman, Ph.D. for her valuable support. Sincere gratitude to the team-Eng. Abdelrahman Youssef, Eng. Abdulla Ayyad, MSc, Eng. Mohammed Salah, Eng. Oussama Abdulhay, and Eng. Laith A.-for their invaluable contributions and endless support. Reference: M. Ramadan et al., "Vision-guided Robotic System for Aero-Engine Inspection and Dynamic Balancing" in Scientific Reports, vol. 14, no. 30742, 2024, doi: 10.1038/s41598-024-80540-w

I am delighted to share that our latest work about self-assembly aerial modular robots has been published in IEEE/ASME Transactions on Mechatronics (T-MECH) 🎉 This is the first time to use a tiltable quadrotor as the basis of the modular structure, which can effectively solve the internal wrench problem due to the inflight concatenation. Good job Junichiro Sugihara ! 👨🔬 Authors: Junichiro Sugihara, Moju Zhao, Takuzumi Nishio, Kei Okada, and Masayuki Inaba 🔗 Paper Link: https://lnkd.in/gNHmDnsu 🎥 Video Link: https://lnkd.in/gx8C2gJP

#MORE early stage researcher, Tyrone Julius Machado will publicly defend his doctoral dissertation, A Path Towards Business Cases for Automated and Autonomous Heavy-Duty Mobile Machines: An Interdisciplinary Approach, at the Faculty of Engineering and Natural Sciences, Tampere University, on Friday, 22 November 2024, at 12:00. Tyrone’s research, grounded in #Automation Science and #Engineering, tackles the limited commercialisation of autonomous heavy-duty mobile machines (#HDMMs) beyond mining applications. While autonomous dump trucks have been effectively employed in mines for years, wider adoption for other HDMMs, like excavators and wheel loaders, remains limited. Through an interdisciplinary lens combining engineering, business, and management, Tyroneexplores new business frameworks that could drive broader adoption of these technologies. Tyrone points out that the HDMM sector faces pressing labour shortages due to ageing workforces and the need for highly skilled operators. “Would you work in an environment where your body is subjected to adverse conditions like dust, snow, rain, loud noises, and vibrations?” Tyrone asks, highlighting the difficult conditions faced by HDMM operators. He contends that autonomous HDMMs can mitigate these labour issues, enhancing operational efficiency and safety while reducing costs. Tyrone’s research emphasises that fostering interdisciplinary collaboration will be crucial in overcoming barriers to automation in the HDMM sector and unlocking its full potential. https://lnkd.in/er2PbeqQ

We are excited to announce that our latest research, "BEATLE—Self-Reconfigurable Aerial Robot: Design, Control, and Experimental Validation," has been accepted for publication in the IEEE/ASME Transactions on Mechatronics (TMECH)! In this work, we present a novel flight control framework based on contact wrench control to achieve stable multi-connected flight. This architecture solves the instability issues encountered during in-flight assembly and disassembly motions. 👨🔬 Authors: Junichiro Sugihara, Moju Zhao, Takuzumi Nishio, Kei Okada, and Masayuki Inaba 🔗 Paper Link: https://lnkd.in/gNHmDnsu 🎥 Video Link: https://lnkd.in/gj9CC687

🚀 Meet the Future of Mobility: The 2-Ton Hexapod Walking Machine! 🤖🌍 A marvel of engineering and biomimicry, this six-legged mechanical giant is redefining how we navigate challenging terrains. Perfect for heavy-duty tasks and futuristic applications! ✨ Key Features: 🦿 Six-Legged Design: Stability and adaptability on uneven terrains. 💪 2-Ton Payload Capacity: Heavy lifting made easy. 🧠 Advanced Control Systems: Manual, remote, or semi-autonomous. 🏗️ Versatile Applications: Mining, construction, research, and even entertainment! 👉 The future is walking! https://laingmfg.com/ 🔗 Follow Ethen Laing and LAING International Machine Tools and Digital Technology for the latest advancements in the tech world. #Robotics #Innovation #Hexapod #EngineeringExcellence #Biomimicry #FutureIsNow

I’m excited to share that my first-author journal publication at Journal of Manufacturing Processes has been published: A Robotic Surface Inspection Framework and Machine-Learning-Based Optimal Segmentation for Aerospace and Precision Manufacturing. This study presents a novel approach to automated visual inspection in advanced manufacturing, addressing challenges like small defect sizes, complex part geometries, and the need for high inspection accuracy. Our proposed framework introduces key innovations, including camera-parameter-based mesh segmentation, ray-tracing viewpoint placement, robot-agnostic viewpoint planning, and Bayesian optimization for faster segmentation, enabling more efficient and accurate inspections in high mix and low-volume production as seen in Aerospace and Precision Manufacturing. I would like to extend my deepest gratitude to my advisor, Dr Xu Chen, for his guidance and support throughout this project. I am also incredibly grateful to my research collaborators who played a key role in the success of this work: Jonas Beachy, Colin Acton. Special thanks to SangYoon Back, Abhishek Kulkarni for their input in tool development. I’m grateful to Shatil Sinha, Matthew Hockemeyer, and Anirban Sinha from GE Research for sharing their manufacturing insights. A big thank you to Larry Sweet from ARM for the project support, and to Dr Santosh Devasia for guidance in applying Bayesian Optimization. Github link: https://lnkd.in/gknY_FwR Looking forward to the exciting application of the research in Industry. #robotics #aerospace #inspection