Systems Engineering

Researchers from the Max Planck Institute for Intelligent Systems and ETH Zurich have made a significant stride in the field of robotics with the development of SPEAR-1, a new robotic foundation model that promises to revolutionize the way robots und

Soham Ghosh and Gaurav Mittal, researchers at the forefront of artificial intelligence and electrical engineering, have published a groundbreaking paper that explores the transformative potential of agentic AI systems in electrical power systems engi

Researchers Robin Wroblowski and Rodolphe Sepulchre from the University of Cambridge have introduced a novel approach to analyzing feedback oscillations and rhythmic behaviors in excitable systems. Their work focuses on the describing function (DF) a

Researchers from the Mälardalen University in Sweden, including Hiep Hong Trinh, Marjan Sirjani, Federico Ciccozzi, Abu Naser Masud, and Mikael Sjödin, have made significant strides in the field of multi-robot systems with their work on modelling and

Researchers from the University of Wisconsin-Madison, including Michael A. Boateng, Russell Bent, Sidhant Misra, Parikshit Pareek, Pascal Van Hentenryck, and Daniel Molzahn, have developed a unified pipeline to address a critical challenge in power s

Researchers Harsh Abhinandan, Aditya Dhanraj, Aryan Katoch, and R. Raja Singh have conducted a comprehensive review of advancements in powering and charging systems for Unmanned Aerial Vehicles (UAVs), addressing the critical challenge of limited fli

Researchers Yizheng Wang, Timon Rabczuk, and Yinghua Liu have introduced a groundbreaking approach to friction modeling in robotic systems. Their work, published in a recent study, focuses on overcoming the limitations of traditional static friction

Researchers at the Max Planck Institute for Intelligent Systems have developed a novel approach to fault detection in solar thermal systems (STS) that could significantly improve the efficiency and reliability of these renewable energy systems. The t

Researchers at the Technical University of Munich, led by Nicolas Hoischen and Sandra Hirche, have made significant strides in the field of continuous-time offline reinforcement learning. Their work, published in collaboration with Petar Bevanda, Max

Researchers at Brigham Young University have unveiled groundbreaking advancements in marine robotics simulation with the upcoming release of HoloOcean 2.0. Led by Blake Romrell, Abigail Austin, Braden Meyers, Ryan Anderson, Carter Noh, and Joshua G.