Austin Robotics & AI

We are handing the mic over to you. If you have been building, programming, or tinkering with a robotics project lately, this is your chance to share it with the community. We are hosting a night of lightning talks where you can showcase your work in a quick, five to ten minute presentation. We have an incredible lineup of local builders, engineers, and researchers sharing their latest work in robotics and artificial intelligence. Each speaker has a limited window to share their insights, so expect a fast paced night covering everything from reverse engineering the brain to edge computing hardware. Here is the official lineup and schedule for the presentations: Tristan Slominski Topic: Sensorimotor Intelligence: Reverse engineering the neocortex Description: Introduction to the core mechanism of biological intelligence: how brains use movement to understand/perceive the world (sensorimotor integration, cortical columns, reference frames). Aaron Brown Topic: Scaling Robotics Intelligence at the Edge with SiMa.ai Description: Learn about ML deployment on purpose built ML SoC hardware. Raven Asher Raziel Topic: Fang Robotics: How a Community College Robotics Team outdid UT Description: How a community college robotics team built a NASA Lunabotics rover that scored higher than UT Austin. Engineering choices, budgeting, and testing. Sharan Soma Topic: SOMA OS is the open computing platform for software defined vehicles Description: The open computing platform for software defined vehicles. A brief introduction on SOMA OS, architecture, and live hardware demo of an EV drivetrain controlled by SOMA OS. Kieran Singh Topic: Nexus: Dynamic Manufacturing, Sustainable Materials, The American Dream Description: An overview of why manufacturing matters, how Nexus is deploying advanced automation to scale it, and why this matters for the future of building things. Rahul Singh Topic: Giano: Guided Piano Learning Gloves Description: A wearable haptic feedback glove that helps people learn the piano through muscle memory acceleration. R.D. Childers Topic: Working together, building physical objects in the robotics and automation space. Using artificial intelligence. Description: Attendees will learn about collaborative approaches to designing and creating physical hardware within the robotics and automation fields, specifically focusing on how artificial intelligence is applied to the build process. Ksenia Topic: Measuring People Like We Measure AI: Bayesian Knowledge Tracing on Simulation Trace Data Description: Deep dive into standard Bayesian Knowledge Tracing methodology applied to logs from a medical simulator. Alchemy Topic: Audio Spatial Dolby Atmos Portable Event Space Description: Building the future of experiential audio spaces. Kimate Richards \- 10Things CEO Topic: Robot training, simulation and scene understanding approaches for safety and privacy.