201: Accidentally Incredibly Dangerous

Embedded.fm · 24 May 2017 · 1h 20m

What this episode covers

Shaun Meehan, an avionics lead at a stealth rocket startup, discusses his hobby of acquiring and restoring industrial robots, specifically his one-ton ABB IRB-2000 named Fred. He details the engineering challenges of building a custom FPGA-based controller for the robot, explaining the differences between stepper motors and servos, and the role of inverse kinematics in robotic motion. Meehan also shares anecdotes about the robot's destructive capabilities and his experience working in small, agile teams at companies like Planet Labs and his current rocket venture.

Mentioned

Companies
Planet Labs, OpenAI, Hackaday
Products
ABB IRB-2000, MeArm
Chips
TI Piccolo, STM32, Jetson TX 2
Tools
ROS, Arduino

Other shows on the same ground, closest first.

  • The Amp Hour · 1h 28m

    An Interview with James Bruton

    James Bruton, the creator of XRobots and the Open Dog robotic dog, discusses the engineering and business of building complex quadruped robots. He details the Open Dog's hardware, including 12 brushless motors, O-Drive controllers, and STM32 microcontrollers, and explains his implementation of inverse kinematics using basic trigonometry. Bruton also covers his workflow as a full-time YouTuber, managing production with multiple 3D printers and CNC machines, and his transition from costume builds to niche robotics content supported by Patreon.

  • The Amp Hour · 58m

    Robots Everywhere with Aaed Musa

    Aaed Musa, a mechanical engineering student at Purdue and YouTuber, explains how he builds low-cost quadrupedal robots like 'Kara' using off-the-shelf brushless motors and custom 3D-printed capstan drives to achieve high precision with zero backlash. He details the engineering trade-offs between torque, speed, and cost, noting that optimizing these factors allows him to build a robot for $1,300, significantly cheaper than commercial equivalents like Boston Dynamics' Spot. Musa also discusses the importance of integration in robotics, the role of AI in simplifying kinematics, and how his hands-on projects serve as a practical portfolio for his career.

  • The Amp Hour · 1h 07m

    Chaffered Chocolate Coemption

    Hosts Dave Jones and Chris Gamble discuss the open-source RC controller from Gizmo For You, highlighting its complex injection-molded cases and 8-layer PCB. They review Ken Lumbard's 'Reading Jim Williams' project, which curates and analyzes the application notes of legendary analog engineer Jim Williams. The hosts also cover rumors of a DARPA humanoid robot grand challenge and share experiences using CircuitLab for SPICE simulation.

  • Hackaday Podcast · 51m

    Ep 274: Capstan Robots, Avionics of Uncertain Purpose, and What the Frack?

    Hackaday editors Elliot Williams and Al Williams discuss capstan-driven robots for 3D-printed mechanisms, a Raspberry Pi Pico used as a direct-conversion SDR receiver, and the history of theodolites and fracking. They also cover reverse-engineering ancient aerospace computers and LED displays, and Lord Kelvin’s mechanical tide predictor.

  • Robot Talk · 24m

    Episode 146: Embodied AI on the ISS - Jamie Palmer

    Jamie Palmer, co-founder and CTO of Icarus Robotics, explains how his company is building free-flying dexterous mobile robots to perform routine and risky tasks in low Earth orbit, starting with the ISS. Palmer details the engineering challenges of controlling a 20-degree-of-freedom robotic arm in microgravity, where moving an arm creates equal reaction forces that destabilize the base, requiring advanced flight control similar to underwater robotics. He highlights the role of recent AI breakthroughs, such as Google's RT-2 and Open X Embodiment, in enabling general-purpose manipulation models trained on teleoperation data, and outlines the company's path from remote testing to a 2027 mission with Voyager Space.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by Embedded.fm. The episode itself belongs to its publisher.