Presentation on “Beyond the Prototype” by Rushil Khurana
There are lots of tools and materials that make it easy to design and prototype electronic devices. However, there has been little exploration of the challenges associated with moving beyond a prototype and creating hundreds…
Designing Computer Vision Algorithms to Describe the Visual World to People Who Are Blind or Low Vision
A common goal in computer vision research is to build machines that can replicate the human vision system (for example, detect an object or scene category, describe an object or scene, or locate an object).…
Training deep control policies for the real world
Humans subconsciously use perception-action loops to do just about everything, from walking down a crowded sidewalk to scoring a goal in a community soccer league. Perception-action loops—using sensory input to decide on appropriate action in…
Inside look at the DARPA Subterranean Urban Circuit Challenge 2020
Over the last year, ten teams from around the world have been participating in the DARPA Subterranean challenges. These challenges are designed to test drones and robots on how they perform in hazardous physical environments…
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
Machines are a long way from robustly solving open-world perception-control tasks, such as first-person view (FPV) aerial navigation. While recent advances in end-to-end Machine Learning, especially Imitation and Reinforcement Learning appear promising, they are constrained…
AirSim Drone Racing VAE Imitation
This repository provides a code base to evaluate and train models from the paper “Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations”.
Democratizing Hardware Initiative
Currently, developing new electronic devices requires significant expertise and resource, and such hardware products are often only practical at scale. We want to make the design and manufacture of new electronic devices quicker, cheaper, easier…