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www.physicalintelligence.company
| | research.google
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| | Posted by Chelsea Finn, Research Adviser and Eric Jang, Senior Research Scientist, Robotics at Google People can flexibly maneuver objects in their...
| | bostondynamics.com
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| | Spot is supporting developments in advanced technologies, while educating new generations of scientists, technicians, and engineers.
| | blog.evjang.com
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| | There is a subfield of robotics research called "sim-to-real" (sim2real) whereby one attempts to solve a robotic task in simulation, and the...
| | blog.otoro.net
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| [AI summary] This text discusses the development of a system for generating large images from latent vectors, combining Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). It explores the use of Conditional Perceptual Neural Networks (CPPNs) to create images with specific characteristics, such as style and orientation, by manipulating latent vectors. The text also covers the ability to perform arithmetic on latent vectors to generate new images and the potential for creating animations by transitioning between different latent states. The author suggests future research directions, including training on more complex datasets and exploring alternative training objectives beyond Maximum Likelihood.