Jeff Maas’ Post

"This study focuses on the collaborative transportation of a stretcher by two robots during rescue missions at hazardous accident scenes, employing distributed model predictive control. The research involved designing and experimentally validating an exercise where two NAO robots transport a stretcher. Initially, a monocular ranging technique based on the Yolov8 network was utilized to recognize and locate the target stretcher. Subsequently, a master-slave collaborative control framework was established, along with a consensus communication protocol for the dual robots, ensuring consistency in their cooperative movements. Finally, a distributed model predictive controller was designed to coordinate the position, velocity, and acceleration between the two robots. Experimental results confirm that the proposed master-slave distributed model predictive control offers enhanced control precision in collaborative control compared to previous methods." by Shengjun Wen, et al. 🔎Read the full paper here: https://lnkd.in/eSzZb5fs

Reliable Robotics embracing radar as integral part of autonomous flight system: Viewing radar technology as critical for developing its remote-autonomous flight system, California start-up Reliable Robotics has chosen industry expert Marc Pos to lead its radar design. https://bit.ly/3QGzU5E

🚀 Exciting News Announcement! 🌐 🔍 Unveiling MIT Lincoln Laboratory: The Vanguard of Autonomous Systems Development 🤖💡 We are thrilled to introduce our latest article on The Quantified World: "Unveiling MIT Lincoln Laboratory: The Vanguard of Autonomous Systems Development." This compelling piece offers an exclusive look into the groundbreaking work being done at MIT Lincoln Laboratory in advancing the frontier of autonomous systems. Join us as we explore the cutting-edge research, groundbreaking technologies, and visionary initiatives that have established MIT Lincoln Laboratory as a global leader in the field of autonomy. From unmanned aerial vehicles (UAVs) and autonomous robots to intelligent systems and human-machine collaboration, this article showcases the diverse applications and transformative potential of autonomous technologies. Whether you're a technology enthusiast, a researcher, or an industry professional, "MIT Lincoln Laboratory" offers invaluable insights into the future of autonomous systems development and its profound impact on society. Read the full article now on The Quantified World and discover how MIT Lincoln Laboratory is shaping the future of autonomy: https://lnkd.in/dcur3SYh #MITLincolnLab #AutonomousSystems #Innovation #Technology #AI #Robotics #TheQuantifiedWorld

From March 2024, I will serve on the International Ferderation of Automatic Control (IFAC) Technical Committee (TC) 1.5. Networked Systems. https://lnkd.in/eYuJvfxR The focus of TC 1.5 is on Networked Systems in the broadest sense. Networked systems are complex dynamical systems composed of a large number of simple subsystems interacting through one or more communication media. Both control systems operating over (resource-constrained) communication networks and multi-agent systems (and their combination) are at the heart of this TC. Networked systems arise as natural models in many areas of engineering and sciences, such as autonomous unmanned vehicles, cooperative robotics, smart grids, biological networks, internet-of-things and many more.

The development of unmanned logistic vehicles is revolutionizing last-mile deliveries! However, these vehicles, equipped with advanced technologies like artificial intelligence and autonomous navigation systems, have faced significant investment in their research and development. In this article, let’s delve into how on-demand manufacturing holds the potential to accelerate the development of unmanned logistic vehicles, leading to more efficient and agile industry practices. Check out the full article by RPWORLD here: https://lnkd.in/g7uiPDiW -------------------------------- Get your company on Wevolver. Learn how your company can publish on Wevolver and reach a new audience of professional engineers who leverage the platform to stay up-to-date and connect with the industry: https://wevlv.co/partners

The Aardvark Group is at the forefront of pushing technical advancements in autonomous Unmanned Ground Vehicles (UGVs), with a primary focus on replacing legacy systems like the Area Mine Clearing System (AMCS) with robotic and AI-driven solutions. Driven by international customer demand, the GEN2 and RANG-R platforms represent a significant leap in autonomous UGV capability. Serving as a replacement for the legacy AMCS, the GEN2 platform offers more than just an upgrade. Its multi-role design allows for plug-and-play logistics and capability delivery, fundamentally altering customer perceptions of uncrewed utility vehicles. Developed by the same team, RANG-R shares common technologies and capabilities with GEN2, provides high-level multi-role capability and integrates advanced situational awareness technologies, designed to mitigate a wide variety of threats in increasingly demanding and hazardous operational conditions. The Aardvark Group anticipates a surge in the utilisation of UGVs in the coming decade, fuelled by advancements in artificial intelligence. The transformative impact of AI on autonomy promises to revolutionize the sector, enhancing efficiency, safety, and operational capabilities. Aardvark stands at the forefront of this innovation wave, strategically integrating cutting-edge technologies to redefine the landscape of uncrewed ground operations. Key to the success of Aardvark's autonomous capabilities is its in-house expertise in artificial intelligence and machine learning. Guided by a mantra of making vehicles 'survivable, reliable, robust, and sustainable,' the company invests in developing new skills and industrial capabilities to drive innovation. One of the central challenges in autonomous navigation for UGVs lies in creating intelligent systems capable of mapping and rerouting paths while avoiding threats or obstructions, all while maintaining data security. Aardvark has tackled this challenge head-on, developing systems capable of functioning in non-permitted environments, where security, mission success, and operational efficiency are paramount. For Aardvark, this has meant addressing questions surrounding autonomous mapping, hardening systems against electronic warfare threats, and ensuring secure communication protocols. The resulting systems boast the ability to make intelligent decisions, navigate obstacles, and feature advanced sensor suites for enhanced navigation capabilities. By leveraging AI and cutting-edge technologies, the company remains relentless in redefining the future of uncrewed ground operations.  #THEAARDVARKGROUP #UGV #AI #UNCREWED #ENGINEERING #UKSME

https://lnkd.in/eWENKG4m A really interesting paper on MDI of autonomous drones and their implementations, worth a read if you're interested in that area.

Interesting to see a hybrid of UAS/UGV. I am curious what types of applications this would be useful for.

Are you curious or intimidated by the process of selecting a robot for your use case? Are you unsure of which autonomy capabilities actually matter? Then, tune in tomorrow for my webinar on Evaluating Autonomy for Aerial Robotics. I'll provide digestible information for folks with broad backgrounds, so there's no need for prior knowledge about robotics. We'll break down some of the key concepts which enable autonomy and then explore how they influence a robot's capabilities.

Reliable Robotics Aims To Deliver Cargo With Nobody In The Cockpit