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Digi-Key is a full-service partner for engineers, providing design tools, business solutions, and the world’s largest in-stock selection of electronic components. It helps customers through the entire design process—from prototype to production—by offering extensive product availability, fast responsive service, and helpful support on its website and tools. The company differentiates itself with the breadth and depth of its catalog, reliable stock and quick fulfillment, and consistent service across North America, Europe, and Asia, earning strong industry rankings in availability and speed. Digi-Key’s goal is to enable engineers to move from idea to finished product smoothly by giving fast access to components, technical resources, and project-enabled support.
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Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Thief River Falls, Minnesota
Founded
1972
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DigiKey and engineering influencer Shawn Hymel to host webinar and video series on reinforcement learning with balance bots. Aug 06, 2026, 10:22 ET Free hands-on webinar workshop will take place Aug. 13 THIEF RIVER FALLS, Minn., Aug. 6, 2026 /PRNewswire/ - DigiKey, the global distribution leader of electronic components and automation products, is hosting a webinar with Shawn Hymel: "Train a balance bot with reinforcement learning," scheduled for Thursday, Aug. 13, 2026, at 10 a.m. CDT. The free 90-minute virtual event will be a hands-on robotics and AI workshop that will teach attendees how to get started in the growing field of reinforcement learning (RL). Reinforcement learning is a powerful domain within machine learning that teaches agents to make decisions by interacting with an environment and maximizing a reward signal. It can enable robots to learn complex behaviors like balancing, walking and recovering from falls entirely in simulation before ever touching real hardware. During the workshop, Hymel will guide attendees through training a self-balancing robot using RL and deploying it on real hardware. Attendees will learn to: * Import a 3D model of the M5Stack Bala-C into the MuJoCo physics simulator * Train a neural network policy using a multi-phase PPO curriculum * Deploy the trained actor network to an ESP32 microcontroller using Arduino * Understand the sim-to-real pipeline, a foundational skill for applying modern AI techniques to physical robotics "Reinforcement learning has quickly become an exciting tool across a wide range of modern applications," said David Sandys, senior director of technical enablement & engagement for DigiKey. "It's a complex and growing field, and knowing where to begin can be tricky. That's why we're thankful to partner with Shawn Hymel to help bring this educational workshop to our customers and community to share how to get started, and why it's beneficial to gain this knowledge." "Almost every major robotics lab has turned to reinforcement learning to build robust, AI-powered control and decision-making for their robots, from quadrupeds to bipeds," says Hymel, expert instructor and content creator. "However, RL remains hard to approach. Training a policy can take millions of simulation steps, and getting the reward function right is as much art as science. This webinar will help lower the barrier to entry for anyone who wants to build their own robots with RL." Anyone who would like to follow along with the webinar is encouraged to have either the M5Stack Bala-C Balance Bot or the M5Stack Bala2 Fire Self-Balancing Robot. If you can't attend the live webinar, you're still encouraged to register, and the recording will be sent to all registrants following the event. Everyone is welcome to register for free. DigiKey has also debuted the first of a six-part educational YouTube series in partnership with Hymel, designed to help engineers, hobbyists and students get started with robotics and RL. The full series will walk viewers through training a robot using modern RL techniques, from simulation to hardware deployment. By the end of the series, viewers will have a working remote-controlled balance bot that learned its own control policy, entirely through trial and error in simulation. Viewers can also follow the full write-up of the tutorial on DigiKey's Maker.io site. This webinar and video series furthers DigiKey's commitment to providing helpful resources and education for engineers, designers, makers and students. For more information about other resources and educational content, please visit DigiKey.com. About DigiKey DigiKey, headquartered in Thief River Falls, Minn., USA, is the global leader in electronic components and automation products distribution. DigiKey offers the broadest and deepest selection of products for fast shipment worldwide, with more than 17.4 million components from over 3,000 trusted manufacturers. More than a million customers each year, including engineers, designers, builders, procurement professionals, makers and students, rely on DigiKey for innovative digital solutions, design tools and frictionless purchasing experiences that simplify every stage of their projects. Discover more about DigiKey's electronics distribution, automation solutions and design resources at digikey.com and on Facebook, X, YouTube, Instagram and LinkedIn. Editorial Contact Laura Stengrim DigiKey (218) 681-8000 ext. 14489 [email protected] SOURCE DigiKey
DigiKey, Shawn Hymel host reinforcement learning webinar series. 2 minutes read DigiKey, the global distribution leader of electronic components and automation products, is hosting a webinar with Shawn Hymel: "Train a balance bot with reinforcement learning," scheduled for Thursday, Aug. 13, 2026, at 10 a.m. CDT. The free 90-minute virtual event will be a hands-on robotics and AI workshop that will teach attendees how to get started in the growing field of reinforcement learning (RL). Reinforcement learning is a powerful domain within machine learning that teaches agents to make decisions by interacting with an environment and maximizing a reward signal. It can enable robots to learn complex behaviors like balancing, walking and recovering from falls entirely in simulation before ever touching real hardware. During the workshop, Hymel will guide attendees through training a self-balancing robot using RL and deploying it on real hardware. Attendees will learn to: * Import a 3D model of the M5Stack Bala-C into the MuJoCo physics simulator * Train a neural network policy using a multi-phase PPO curriculum * Deploy the trained actor network to an ESP32 microcontroller using Arduino * Understand the sim-to-real pipeline, a foundational skill for applying modern AI techniques to physical robotics "Reinforcement learning has quickly become an exciting tool across a wide range of modern applications," said David Sandys, senior director of technical enablement & engagement for DigiKey. "It's a complex and growing field and knowing where to begin can be tricky. That's why we're thankful to partner with Shawn Hymel to help bring this educational workshop to our customers and community to share how to get started, and why it's beneficial to gain this knowledge." "Almost every major robotics lab has turned to reinforcement learning to build robust, AI-powered control and decision-making for their robots, from quadrupeds to bipeds," says Hymel, expert instructor and content creator. "However, RL remains hard to approach. Training a policy can take millions of simulation steps, and getting the reward function right is as much art as science. This webinar will help lower the barrier to entry for anyone who wants to build their own robots with RL." Anyone who would like to follow along with the webinar is encouraged to have either the M5Stack Bala-C Balance Bot or the M5Stack Bala2 Fire Self-Balancing Robot. If you can't attend the live webinar, you're still encouraged to register, and the recording will be sent to all registrants following the event. DigiKey has also debuted the first of a six-part educational YouTube series in partnership with Hymel, designed to help engineers, hobbyists and students get started with robotics and RL. The full series will walk viewers through training a robot using modern RL techniques, from simulation to hardware deployment. By the end of the series, viewers will have a working remote-controlled balance bot that learned its own control policy, entirely through trial and error in simulation. This webinar and video series furthers DigiKey's commitment to providing helpful resources and education for engineers, designers, makers and students. DigiKey, headquartered in Thief River Falls, Minn., USA, is the global leader in electronic components and automation products distribution. DigiKey offers the broadest and deepest selection of products for fast shipment worldwide, with more than 17.4 million components from over 3,000 trusted manufacturers. More than a million customers each year, including engineers, designers, builders, procurement professionals, makers and students, rely on DigiKey for innovative digital solutions, design tools and frictionless purchasing experiences that simplify every stage of their projects.
DigiKey and Machinechat introduce rapid engineering kits. 24 July 2026 DigiKey and Machinechat announce the launch of a rapid engineering kit, which combines curated hardware with Machinechat JEDI (Just Enough Data Intelligence) software, giving engineers a complete, working connected intelligence development platform. The product will be introduced during a webinar titled 'From IoT to Connected Intelligence' on 28th July at 11am CDT. Engineers developing Edge AI and IoT solutions often face significant challenges integrating hardware and software into a reliable prototype, which can lead to delays, added complexity, and higher costs. DigiKey and Machinechat have teamed up to create rapid engineering kits that remove those barriers by pairing tested hardware configurations with professional software. Rapid engineering kits, available now exclusively from DigiKey, enable engineers, educators, students, and OEMs to move from initial setup to field-ready deployment in minutes and easily expand and customise applications with additional sensors and hardware. "The new rapid engineering kits extend our customers' trust in DigiKey by providing more complete project starting points, including innovative hardware paired with professional software that works quickly out of the box," says David Sandys, Director of Technical Engagements and Enablement for DigiKey. "You can think of these as an IoT and connected intelligence application toolkit: the tools, resources, educational content, hardware, and software that come with them provide a platform where engineers can focus on their domain expertise, rather than assembling the infrastructure for a target application." The 28th July webinar will demonstrate how rapid kits streamline design through real-time control powered by Edge intelligence. Speakers include Sanjeev Datla, Founder and Chief Architect at Machinechat, and Josh Mickolio, Technical Marketing Manager at DigiKey. The webinar will cover: * How to use a rapid kit model to bridge real-time physical control and Linux/AI-capable Edge computing * What the shift from IoT to connected intelligence means for your next project * Practical insights into reducing integration effort while accelerating deployment timelines * The transition from IoT to intelligent, connected systems "We've seen engineers repeatedly hit the same wall: they find the right hardware on DigiKey.com, then spend weeks rebuilding the same software stack for every project-configuring the system, managing its data, visualising its behaviour, and turning results into reports," said Sanjeev Datla, Founder and CEO of Machinechat. "With a rapid engineering kit from DigiKey, an engineer can open the box, connect the hardware, launch the software, and put the system to work in minutes, not weeks. That changes the economics of building products with connected intelligence, from IIoT to physical AI, for everyone from students to makers to Fortune 500 R&D teams." The rapid engineering kits combine development hardware, sensors, connectivity modules, and Machinechat JEDI software into a single solution for fast IoT and Edge AI deployment. Each kit includes a lifetime Machinechat JEDI One license, which provides real-time data collection, customisable dashboards, data storage, and automated alerts - all at a reduced cost. The first kit features the Arduino UNO Q and an Adafruit BME280 environmental sensor for out-of-the-box monitoring of temperature, humidity, and pressure. Additional kits for other hardware platforms are planned to help developers scale quickly across a wider range of applications. Keep up to date with the most important news. Mouser opens transportation resource centre. 24 July 2026
DigiKey and Machinechat have launched rapid engineering kits combining curated hardware with Machinechat's JEDI software, creating a complete connected intelligence development platform. The kits are available exclusively from DigiKey. The partnership addresses challenges engineers face integrating hardware and software for edge AI and IoT solutions. The kits enable users to move from initial setup to field-ready deployment in minutes. The first kit features the Arduino UNO Q and an Adafruit BME280 environmental sensor for monitoring temperature, humidity and pressure. Each kit includes a lifetime Machinechat JEDI One licence, providing real-time data collection, customisable dashboards, data storage and automated alerts. DigiKey and Machinechat will host a free webinar on 28 July demonstrating how the kits streamline design through real-time control powered by edge intelligence.
DigiKey and Arduino launch edge AI project challenge. DigiKey and Arduino have launched the Dream Lab Challenge, inviting U.S.-based makers, engineers, students and innovators to submit projects using the Arduino UNO Q microcontroller board by September 30, 2026. The UNO Q is a hybrid single-board computer and microcontroller development board designed for applications such as robotics, AI-powered vision systems, smart automation, local LLMs, VLMs and Edge AI. Four selected creators will receive a custom lab package valued at approximately $5,000 with professional-grade test equipment to support future development and experimentation.
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Industries
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Thief River Falls, Minnesota
Founded
1972
Find jobs on Simplify and start your career today