Data-driven aerospace engineering: reframing the industry with machine learning

SL Brunton, J Nathan Kutz, K Manohar, AY Aravkin… - AIAA Journal, 2021 - arc.aiaa.org
Data science, and machine learning in particular, is rapidly transforming the scientific and
industrial landscapes. The aerospace industry is poised to capitalize on big data and …

Application specific drone simulators: Recent advances and challenges

A Mairaj, AI Baba, AY Javaid - Simulation Modelling Practice and Theory, 2019 - Elsevier
Over the past two decades, Unmanned Aerial Vehicles (UAVs), more commonly known as
drones, have gained a lot of attention, and are rapidly becoming ubiquitous because of their …

Personal fabrication

P Baudisch, S Mueller - Foundations and Trends® in Human …, 2017 - nowpublishers.com
While fabrication technologies have been in use in industry for several decades, expiring
patents have recently allowed the technology to spill over to technology-enthusiastic …

[PDF][PDF] DreamSketch: Early Stage 3D Design Explorations with Sketching and Generative Design.

RH Kazi, T Grossman, H Cheong, A Hashemi… - UIST, 2017 - damassets.autodesk.net
We present DreamSketch, a novel 3D design interface that combines the free-form and
expressive qualities of sketching with the computational power of generative design …

Diffaqua: A differentiable computational design pipeline for soft underwater swimmers with shape interpolation

P Ma, T Du, JZ Zhang, K Wu, A Spielberg… - ACM Transactions on …, 2021 - dl.acm.org
The computational design of soft underwater swimmers is challenging because of the high
degrees of freedom in soft-body modeling. In this paper, we present a differentiable pipeline …

Skaterbots: Optimization-based design and motion synthesis for robotic creatures with legs and wheels

M Geilinger, R Poranne, R Desai… - ACM Transactions on …, 2018 - dl.acm.org
We present a computation-driven approach to design optimization and motion synthesis for
robotic creatures that locomote using arbitrary arrangements of legs and wheels. Through …

Learning to fly: computational controller design for hybrid uavs with reinforcement learning

J Xu, T Du, M Foshey, B Li, B Zhu, A Schulz… - ACM Transactions on …, 2019 - dl.acm.org
Hybrid unmanned aerial vehicles (UAV) combine advantages of multicopters and fixed-wing
planes: vertical take-off, landing, and low energy use. However, hybrid UAVs are rarely used …

Designing co-creative ai for virtual environments

J Urban Davis, F Anderson, M Stroetzel… - Proceedings of the 13th …, 2021 - dl.acm.org
Co-creative AI tools provide a method of creative collaboration between a user and
machine. One form of co-creative AI called generative design requires the user to input …

Efficient automatic design of robots

D Matthews, A Spielberg, D Rus… - Proceedings of the …, 2023 - National Acad Sciences
Robots are notoriously difficult to design because of complex interdependencies between
their physical structure, sensory and motor layouts, and behavior. Despite this, almost every …

Interactive design space exploration and optimization for CAD models

A Schulz, J Xu, B Zhu, C Zheng, E Grinspun… - ACM Transactions on …, 2017 - dl.acm.org
Computer Aided Design (CAD) is a multi-billion dollar industry used by almost every
mechanical engineer in the world to create practically every existing manufactured shape …