Argonne National Laboratory’s Post

If you missed our Wentworth School of Engineering Senior Capstone Showcase last week at Wentworth Institute of Technology, this poster will show you a quick overview on what James Walter and I have built for the past seven months for our senior design under advisory of Dr. Federica Aveta. This project is proud to be fully funded by Senior Capstone Industry Partnership Program Funding. ------------------------------------- Autonomous robots have become increasingly important in various fields, from transportation to defense. Mobile robots, in particular, have the ability to perform diverse tasks such as aiding in disaster scenarios and executing rescue operations. However, navigating these robots through complex environments can be a challenge. While GPS systems have limited accuracy range in indoor navigation, this recent paper introduces building a Jetson Nano powered robot car from ground up that uses local sensors to interact with its surroundings. With features such as object following, obstacle avoidance, and wall following, this robot has the capability to seamlessly traverse through complex environments to reach its desired destination.

Second-generation Indy Autonomous Racers Full speed ahead for second-generation Indy autonomous racers (sae.org)

Are you interested in #autonomous #offroad #vehicles? Listen to the recording of a fireside with #CMU Professor Matthew Travers and #Cargotec #Hiab engineering leader Dr. Mohammad M. Aref on their experience of deploying autonomous machines to complex offroad environments such as in tunnels at the DARPA Subterranean Challenge, in the desert, at ports, and at construction sites. key topics: 1) why do industrial machine makers choose simple algorithms over optimal algorithms? 2) what are the limitations of modular system design? 3) how do industrial machine makers define safety and reliability of algorithms? blog: https://lnkd.in/eumzdSFx video: https://lnkd.in/eee4T9Tn #mathworks #robotics #autonomy #simulation #matlab #simulink #construction #mining

One highlight of ARTS 2023 was when Chris Gerdes intentionally made the audience groan with his slide that mentioned the infamous Trolley Car Problem – before making it right by presenting a commonsense framework for determining the roadworthiness and safety of AVs. Chris is teaching the next generation of transportation tech professionals about ethics and equity of transportation systems. He’s a Professor of Mechanical Engineering at Stanford University, as well as a former director and co-founder of the Center for Automotive Research at Stanford (also known as CARS). Chris was also the first Chief Innovation Officer in the U.S. Department of Transportation under the Obama Administration. In this episode, Greg Rogers and Sophie J. spoke with Chris at #TRBautomated in July 2023 about: • Duty of care: Why the trolley car problem is the wrong question to ask about AV safety • Education: Teaching the next generation of leaders about ethics & equity In transportation systems • Government & Innovation: Chris' experience as the first Chief Innovation Officer at the U.S. Department of Transportation • Proving AVs on the race track: Testing AVs on a race track can improve understanding of vehicle capabilities and limitations. Tune in using the link in the comments below! #autonomous #automated #automatedvehicles #autonomousvehicles #autonomousdriving #selfdrivingcars #cal #gobears #stanford #race #racetrack #equity #ethics #transportationequity #transportationethics #education #usdot #Innovation

Happy that our new paper, “Analysis on Braess paradox and network design considering parking in the autonomous vehicle environment”, has just been published (as fully open access) in Computer-Aided Civil and Infrastructure Engineering. The paper examines the Braess paradox considering parking behavior as related to automated vehicles within the context of network design problems developed for autonomous transportation systems. Thanks to my colleagues (and very successful former PhD students) Prof. Xiang Zhang and Prof. Lin Dung-Ying The paper is available at https://lnkd.in/eDUt7rTt

Whether zooming through the sky or racing on the ground, Lehigh celebrates #robotics in the newest issue of Resolve magazine. Explore the various projects from our Autonomous and Intelligent Robotics (AIR) Lab: @Lehigh University Mechanical Engineering @Computer Science and Engineering at Lehigh University #robots #autonomy #autonomousvehicles #AVs #mechanicalengineering #computerscience #computerengineering

🚀 Elevate Your Learning with Autonomous Drones! 🚀 Incorporate the latest in #drone technology into your curriculum and inspire the next generation of #innovators. Prepare your students for the #autonomous age with hands-on, experiential learning. Perfect for students and #researchers eager to explore the realms of #AI, #robotics, and #autonomy. 📚🤖 Why Choose Our Drone for Your Classroom? 🤖 Hands-On Experience: Dive into real-world applications of autonomy and AI. 🤖 Innovative Learning: Enhance your curriculum with interactive, practical knowledge. 🤖 Research Ready: Ideal for projects in engineering, computer science, and beyond. 🤖 Future-Ready Skills: Equip students with the tools they need for tomorrow's tech landscape.

I am proud to announce that my first scientific contribution to a journal is now available online in "Control Engineering Practice" (link below). 😁 The paper entitled "Safe motion planner for autonomous driving based on LPV MPC and reachability analysis" addresses the safe planning of autonomous vehicles driving in dynamic environments by using optimization techniques and set-based approaches. In order to obtain an efficient motion plan that intrinsically guarantees the fulfilment of safety conditions, this paper proposes the formulation of a planner inspired by the structure of an MPC. Since such a problem is typically nonlinear, a two-stage translation to a QP problem whose computational cost is compatible with real-time implementation is proposed. The first stage consists in the representation of the system dynamics by means of Linear-Parameter Varying expressions, which has proven to be a great tool for the reduction of the problem complexity. Meanwhile, the second stage consists in performing a reachability analysis with the objective of computing the set of states that are not only reachable by the vehicle, but also guarantee the safety conditions, restricting the problem domain to such safe sets. This process is performed by means of the propagation of polytopes known as "constrained zonotopes". I would like to thank my PhD supervisors (and co-authors) for their hard work and support in bringing this work to completion, as well as my PhD colleagues for their advice and support throughout these months. I hope to be back soon with more new contributions that are currently in progress! 😀 https://lnkd.in/dxuAmFYV

I am happy to announce the publication of my latest paper with my colleagues from Ontario Tech University and the ACE team in the journal Atmosphere. Much work has been done in the fields of aviation and civil engineering on the impact of snow accumulation on critical surfaces, however a gap remains when it comes to applications in the automotive sector. With the growing development of autonomous vehicles and driving assistance systems, this topic is becoming increasingly relevant for ensuring proper operating conditions and road safety. Our research team proposes an analytical model for predicting the level of snow accumulation on moving vehicles. The project includes an experimental apparatus for field and climatic wind tunnel measurements. If this subject interests you, check out the open access paper at the link below. #weather #research #automotive #python #prediction https://lnkd.in/gcwYVsqy

See how to use #MATLAB #ROS Toolbox with #RTIConnext to accelerate #autonomous system development.