Data-driven aerospace engineering: reframing the industry with machine learning
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 …
industrial landscapes. The aerospace industry is poised to capitalize on big data and …
Application specific drone simulators: Recent advances and challenges
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 …
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 …
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.
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 …
expressive qualities of sketching with the computational power of generative design …
Diffaqua: A differentiable computational design pipeline for soft underwater swimmers with shape interpolation
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 …
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
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 …
robotic creatures that locomote using arbitrary arrangements of legs and wheels. Through …
Learning to fly: computational controller design for hybrid uavs with reinforcement learning
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 …
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 …
machine. One form of co-creative AI called generative design requires the user to input …
Efficient automatic design of robots
Robots are notoriously difficult to design because of complex interdependencies between
their physical structure, sensory and motor layouts, and behavior. Despite this, almost every …
their physical structure, sensory and motor layouts, and behavior. Despite this, almost every …
Interactive design space exploration and optimization for CAD models
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 …
mechanical engineer in the world to create practically every existing manufactured shape …