Robohub Podcast

https://www.youtube.com/watch?v=bJP6B5jfaOE Robohub Podcast · Autonomously Mapping the Seafloor Anthony DiMare and Charles Chiau deep dive into how Bedrock Ocean is innovating in the world of Marine Surveys. At Bedrock Ocean, they are developing an Autonomous Underwater Vehicle (AUV) that is able to map the seafloor autonomously and at a high resolution. They are also developing a data platform to access, process, and visualize data captured from other companies at the seafloor. Bedrock Ocean is solving two problems in the industry of Marine Surveying. 1. The vast majority of the seafloor is completely unmapped 2. The data that is captured from the seafloor is not standardized or centralized. Seafloor data conducted by two different companies with the same or different hardware to capture the data can vary significantly in the calculated seafloor profile Anthony DiMare Anthony previously founded Nautilus Labs, a leading maritime technology company advancing the efficiency of ocean commerce through artificial intelligence. While at Nautilus, Anthony helped global companies solve challenges with distributed, siloed maritime data systems and built the early team that launched Nautilus Platform into large publicly listed shipping companies. Charles Chiau Charles, Bedrock’s CTO, was previously at SpaceX where he helped design the avionics systems for Crew Dragon. He also was a system integration engineer at Reliable Robotics working on their autonomous aviation system and was the CTO of DeepFlight where he worked on manned submersibles including ones for Tom Perkins, Richard Branson, and Steve Fossett. Links Download mp3 (48.0 MB) Subscribe to Robohub using iTunes, RSS, or Spotify Support us on Patreon

#337: Autonomously Mapping the Seafloor, with Anthony DiMare and Charles Chiau

Robohub Podcast · Mobile Outdoor Manipulation with RE2 Robotics In this episode, Shihan Lu interviews Travis Schneider, Business Development Manager at RE2 Robotics, focusing on their work on mobile outdoor manipulation. Travis introduces several robotic products and services of RE2, including RE2 Sapien robotic arms and human-centered system integration, and how they can be used to help rather than replace workers. He also shares his thoughts about challenges in human-robot collaboration.

#336: Mobile Outdoor Manipulation with RE2 Robotics, with Travis Schneider

#335: Autonomous Aircraft by Xwing, with Maxime Gariel

Robohub Podcast · Autonomous Aircraft Abate talks to Maxime Gariel, CTO of Xwing about the autonomous flight technology they are developing. At Xwing, they are converting traditional aircraft into remotely operated aircraft. They do this by retrofitting planes with multiple sensors including cameras, radar, and lidar, and by developing sensor fusion algorithms to allow their planes to understand the world around them, using highly accurate perception algorithms. Xwing’s autonomous flight technology allows a plane to taxi in the airport, takeoff, fly to a destination, avoid airborne and ground threats, and land, all without any human input. This technology not only enables autonomous flight but may also enhance the safety of manned aircraft by improving a plane's ability to understand its surroundings.

#334: Intel RealSense Enabling Computer Vision and Machine Learning At The Edge, with Joel Hagberg

Robohub Podcast · Intel RealSense Enabling Computer Vision and Machine Learning At The Edge Intel RealSense is known in the robotics community for its plug-and-play stereo cameras. These cameras make gathering 3D depth data a seamless process, with easy integrations into ROS to simplify the software development for your robots. From the RealSense team, Joel Hagberg talks about how they built this product, which allows roboticists to perform computer vision and machine learning at the edge.

#333: Snake-like Robot as a Worker Companion, with Matt Bilsky

Robohub Podcast · Snake-like Robot as a Worker Companion - FLX BOT Matt Bilsky, founder and CEO of FLX Solutions, discusses the snake-like robot he invented called the FLX BOT. The FLX BOT consists of modular links, each with a joint that can extend and rotate to get into tight spaces. Each link includes sensors including inertial measurement units and a camera. The robot is used to navigate and work in challenging environments, such as above ceilings and within walls. Matt discusses the key innovations of his product as well as his academic and entrepreneurial journey that led him to the FLX BOT.

Robohub Podcast · Swarms in Space In this episode, Lilly interviews Giovanni Beltrame, Professor of Computer and Software Engineering at École Polytechnique de Montréal where he directs the Making Innovative Space Technology (MIST) lab. Beltrame highlights the technical challenges of exploring another planet with a swarm of robots controlled by an astronaut operator. They discuss minimizing cognitive load for the operator, analog missions to volcanic lava tubes on Earth, and spherical hopping robots for the moon.

#332: Swarms in Space, with Giovanni Beltrame

Robohub Podcast · Multi-Robot Learning In this episode, Lilly interviews Amanda Prorok, Professor of Computer Science and Technology at the University of Cambridge. Prorok discusses her research on multi-robot and multi-agent systems and learning coordination policies via Graph Neural Networks. They dig into her recent work on self-interested robots and finding explainability in emergent behavior.

#331: Multi-Robot Learning, with Amanda Prorok

Robohub Podcast · Construction Site Automation Abate interviews Tessa Lau on her startup Dusty Robotics which is innovating in the field of construction. At Dusty Robotics, they developed a robot to automate the laying of floor plans on the floors in construction sites. Typically, this is done manually using a tape measure and reading printed out plans. This difficult task can often take a team of two a week to complete. Time-consuming tasks like this are incredibly expensive on a construction site where multiple different teams are waiting on this task to complete. Any errors in this process are even more time-consuming to fix. By using a robot to automatically convert 3d models of building plans into markings on the floors, the amount of time and errors are dramatically reduced.