Safety-critical navigation applications require that estimation errors be reliably quantified and bounded. Over the last decade, significant effort has been put to guarantee a bounded position estimation by using Global Navigation Satellite Systems (GNSS) ...
The development of miniaturized machines that can actively cross barriers, navigate through heterogeneous materials and access remote sites can revolutionize environmental inspection and targeted therapy. Seminal work demonstrated the feasibility of follow ...
The energy industry is going through challenging times of disruptive changes caused by decarbonization, decentralization, and digitalization. As the energy value chain is restructuring itself to accommodate the growing penetration of renewables, increasing ...
Tissues morphogenesis and homeostasis involve the spatiotemporal regulation of mechanics at multiple scales. Characterization of mechanical properties of biological systems as well as investigating the effects of mechanical forces on biological function ar ...
Inferences using Convolutional Neural Networks (CNNs) are resource and energy intensive. Therefore, their execution on highly constrained edge devices demands the careful co-optimization of algorithms and hardware. Addressing this challenge, in this paper ...
Classical models of aerial swarms often describe global coordinated motion as the combination of local interactions that happen at the individual level. Mathematically, these interactions are represented with potential fields. Despite their explanatory suc ...
