The Robot Report Podcast

This episode explores how Nomagic is applying AI and robotics to warehouse operations, with a focus on each picking, recovery workflows, and production-grade deployment.
Josh Cloer, General Manager for North America, explains why the company leans into “physical AI,” how its systems are designed for always on operations, and why real-world production data matters more than simulation alone.
Mike Oitzman and Gene Demaitre also dig into the practical side of automation adoption, from pilot-to-production failures to the pressure on supply chain leaders to move faster without getting stuck in vendor hype.
The conversation is especially useful for teams evaluating warehouse robotics, AI-assisted recovery, or flexible automation strategies.
Learn more: https://nomagic.ai/

Our guest this week is Derik Pridmore, CEO and co-founder of OSARO.
OSARO develops intelligent AI robotics for real-world warehouse automation, delivering scalable fulfillment solutions that optimize throughput, uptime, and overall performance.
In this conversation, Pridmore breaks down how warehouse robotics has evolved from limited perception systems to adaptable AI-driven automation. He shares why hardware-agnostic design, continuous learning, and real-world monitoring matter more than flashy demos — and why the biggest breakthroughs in robotics still depend on balancing specificity, reliability, and safety.
Learn more: https://www.osaro.com

Also this week, cohosts Steve Crowe, Mike Oitzman, and Gene Demaitre discuss the recent news about the FCC announcement to ban foreign legged and mobile robots from import to the U.S.

– SPONSORS –

This episode is brought to you by Tiger Data

Every growing Postgres database eventually hits a wall. Queries slow down, dashboards lag, and teams consider adding a second database.

Tiger Data, creators of TimescaleDB, extends Postgres with time-series primitives, columnar storage, and automatic partitioning so your queries stay fast on live data. No pipelines, no migration, no second system. Just Postgres, built for the workload you actually have.

Try it free at https://www.tigerdata.com/go/trial?utm_source=content-syndication&utm_medium=referral&utm_campaign=robotics-ads

In this episode, Doug Pagnutti, Developer Advocate at Tiger Data, discusses how time series databases like TimescaleDB are transforming industrial automation, robotics, and AI applications. He shares insights on integrating these databases with various sensors, managing data at scale, and optimizing performance both on the cloud and on the edge.
Key Topics:
- The role of time series data in robotics and industrial automation
- How TimescaleDB extends PostgreSQL for high-performance time series workloads
- Differences between open source and managed cloud versions
- Strategies for integrating various industrial controllers and messaging pipelines
- Techniques for managing intermittent connectivity with edge devices
- Advanced tools like continuous aggregates and data compression for big data
- Enabling multimodal data queries with hybrid search stacks
- Future applications of time series data in AI-driven environments and energy systems
- Best practices for storing telemetry, spatial, and metadata efficiently

– SPONSORS –

This episode is brought to you by Tiger Data

Every growing Postgres database eventually hits a wall. Queries slow down, dashboards lag, and teams consider adding a second database.

Tiger Data, creators of TimescaleDB, extends Postgres with time-series primitives, columnar storage, and automatic partitioning so your queries stay fast on live data. No pipelines, no migration, no second system. Just Postgres, built for the workload you actually have.

Try it free at https://www.tigerdata.com/go/trial?utm_source=content-syndication&utm_medium=referral&utm_campaign=robotics-ads

On the show this week, Deise Yumi Asami shares how her AI-enabled robotics startup, Maximo, is transforming solar panel installation and making solar panel installation faster, safer, and more efficient. In this conversation, you’ll hear how robotics, AI vision, and smart field deployment are helping reshape the future of renewable energy infrastructure.
Deise also shares the experience of starting a new company from the ground up while being incubated within a larger parent company. Learn how innovation is encouraged and celebrated inside a large organization, and how AES organizes its innovation group.
Learn more: https://maxrobotics.ai/
– SPONSORS –

This episode is brought to you by Tiger Data

Every growing Postgres database eventually hits a wall. Queries slow down, dashboards lag, and teams consider adding a second database.

Tiger Data, creators of TimescaleDB, extends Postgres with time-series primitives, columnar storage, and automatic partitioning so your queries stay fast on live data. No pipelines, no migration, no second system. Just Postgres, built for the workload you actually have.

Try it free at https://www.tigerdata.com/go/trial?utm_source=content-syndication&utm_medium=referral&utm_campaign=robotics-ads

Andy Lonsberry is redefining what welding robots can do, and in this conversation, he reveals how AI is pushing manufacturing beyond the limits of traditional automation.
In this episode, Mike Oitzman and Gene Demaitre sit down with Andy Lonsberry, CEO of Path Robotics, to explore how his team is using AI, reinforcement learning, and real-time visual feedback to make welding robots smarter, more adaptive, and capable of handling complex real-world conditions. From shipbuilding to infrastructure and other large-scale industrial applications, Andy explains why the future of welding depends on robots that can think, react, and move to the work—not just wait for the work to come to them.
They discuss:
- The founding story of Path Robotics
- Why traditional welding automation plateaued
- How AI and reinforcement learning improve weld quality
- The role of real-world sensor data in adaptive welding
- Why mobile, legged robots open new industrial possibilities
- The business model behind Robotics as a Service
- What’s next for AI-powered manufacturing
If you’re interested in the future of industrial automation, physical AI, and the next generation of robotics, this conversation is a must-listen.

Submit your robotic startup for the Startup Showcase: https://www.therobotreport.com/calling-all-robotics-startups-apply-to-robobusiness-startup-alley/

– SPONSORS –

This episode is brought to you by Tiger Data

Every growing Postgres database eventually hits a wall. Queries slow down, dashboards lag, and teams consider adding a second database.

Tiger Data, creators of TimescaleDB, extends Postgres with time-series primitives, columnar storage, and automatic partitioning so your queries stay fast on live data. No pipelines, no migration, no second system. Just Postgres, built for the workload you actually have.

Try it free at https://www.tigerdata.com/go/trial?utm_source=content-syndication&utm_medium=referral&utm_campaign=robotics-ads