Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

Industrial Robotics Weekly: Manufacturing & AI Updates

Claim This Podcast

by Inception Point AI

325 episodes

Updated Daily

Accepts GuestsHas SponsorsLocation 🇺🇸

Podcast Authority

Beta

FairBased on show quality, social media presence, reviews, charts, and more

Quality99

Social0

YouTube0

Engagement0

Learn more

Podcast Overview

Industrial Robotics Weekly: Manufacturing & AI Updates is your go-to daily podcast for the latest news in the world of industrial robotics, manufacturing advancements, and AI developments. Stay informed with expert insights and updates on cutting-edge technologies shaping the future of industry. Perfect for professionals and enthusiasts eager to understand the evolving landscape of automation and technology. For more info go to https://www.quietplease.ai Check out these deals https://amzn.to/48MZPjs This content was created in partnership and with the help of Artificial Intelligence AI.

Language

🇺🇲

Publishing Since

12/11/2024

Visit Website View on Apple Podcasts RSS Feed

🇺🇸 Charts #3

Outreach generated

Apple 142

Spotify 827

Instant mention tracking

Perfect fit!

Unlock The Full Podcast Authority Score Report

See how your podcast performs across key metrics

Podcast Authority

Beta

FairBased on show quality, social media presence, reviews, charts, and more

Quality99

Social0

YouTube0

Engagement0

Learn more

Excellent Areas

Good Performance

Growth Opportunities

excellent

Publishing Consistency

Every 2 days

Performing excellently!

good

Show Notes Quality

3.0/5

Recommendations available

Unlock the full report to see detailed tips

poor

Episode Thumbnails

Recommendations available

Unlock the full report to see detailed tips

+16 More Metrics

Unlock comprehensive insights including:

• YouTube presence analysis
• Social media reach metrics
• RSS compliance scoring
• Podcast 2.0 features
• Technical standards

What's Included in Your Full Report

Detailed Analytics

Complete breakdown of all 19 authority metrics
Personalized recommendations for each metric
Industry benchmarks and comparisons
Technical RSS feed analysis and compliance scoring

Growth Strategies

Step-by-step action plans for improvement
Quick wins to boost your score immediately
Pro tips from successful podcasters

Get your free podcast insights report

See how your show performs across every key metric

Instant delivery

No spam

Attract Better Guests

High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.

Secure Sponsorships

Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.

Grow Your Audience

Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.

2 verified contact emails on file for Industrial Robotics Weekly: Manufacturing & AI Updates

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

See contact details

Recent Episodes

June 20, 2026

Robots Clock In: Why Your Factory Job Just Got a Very Smart New Coworker

This is your Industrial Robotics Weekly: Manufacturing & AI Updates podcast. Industrial robotics is moving from experimental showpiece to essential production infrastructure, reshaping manufacturing, warehouses, and process optimization in very measurable ways. Esa Automation describes today’s factories as driven by “operational intelligence,” where robots interpret their surroundings, adapt to variation, and coordinate with other machines in real time, rather than simply repeating fixed motions. Siemens executives at the 2026 Consumer Electronics Show highlighted that the most aggressive adopters are combining artificial intelligence with digital twins and edge computing to continuously tune cycle times, energy use, and quality at the line level. According to the Association for Advancing Automation, global industrial robot demand has rebounded strongly, with China now the largest deployment arena for both traditional arms and humanoid style embodied artificial intelligence, as detailed in a recent analysis from MUFG. That report notes that industrial robotics is anchoring global demand growth and that much of new employment is shifting toward supervision, troubleshooting, and collaboration with intelligent systems instead of manual repetition. On the warehouse side, Quality Magazine warns that 2026 is a reckoning year: projects that do not hit hard key performance indicators like pick rate, dock to stock time, and uptime will be defunded, while systems that can prove double digit throughput gains and fewer safety incidents will scale quickly. MassRobotics, recapping National Robotics Week, underscores this same shift, arguing that investors and customers are now demanding “proof of value,” not demo videos, and that physical artificial intelligence must deliver concrete revenue impact to survive. Listeners looking for practical moves should focus on three things. First, tighten the business case: model labor savings, overtime reduction, and scrap reduction against total cost of ownership, not just upfront capital. Second, prioritize safety and collaboration by aligning with the latest robot safety standards updates from the Association for Advancing Automation and engaging operators early in cobot deployments. Third, build data foundations so every robot cell streams usable metrics into manufacturing execution and warehouse management systems; without clean data, there is no real optimization. Looking ahead, reports from the Future of Automation Institute suggest that as artificial intelligence becomes deeply integrated into robotic fleets, leadership in manufacturing will belong to those who treat robots as upgradable software defined assets, not fixed hardware. Expect tighter human robot teaming, more mobile platforms in factories and warehouses, and purchasing decisions driven by lifecycle analytics rather than one time bids. Thanks for tuning in to Industrial Robotics Weekly. Come back next week for more manufacturing and artificial intelligence updates. This has been a Quiet Please production, and to find out more, check out QuietPlease dot A I. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta

June 19, 2026

Robots Finally Got Real Jobs: The Tea on AIs Factory Takeover and Why 2026 is the Year Bots Actually Work

This is your Industrial Robotics Weekly: Manufacturing & AI Updates podcast. Industrial robotics is moving from demonstration to deployment, and the biggest shift is that artificial intelligence is now being used to improve real production outcomes, not just prototypes. According to MassRobotics, 2026 is shaping up as a year when physical artificial intelligence and applied automation win on measurable value, especially in manufacturing, logistics, and labor-constrained operations.[1] Across factories and warehouses, the trend is toward smarter workcells, faster integration, and more flexible automation. IEN reports that artificial intelligence is helping manufacturers optimize robot paths in real time, lower automation costs with vision-guided systems, and digitize operator instructions so less experienced workers can run complex tasks more reliably.[2] That same reporting highlights remote troubleshooting tools that combine live video with machine logs, which can reduce downtime and speed recovery when cells fail.[2] Recent industry coverage also points to broader adoption. One market estimate says global smart manufacturing reached 47 percent adoption in 2026, with artificial intelligence driving 31 percent efficiency gains and the collaborative robot market reaching 11.3 billion dollars.[4] Another outlook cited by Apple Podcasts indicates global installed industrial robots could surpass 5.5 million units in 2026, reflecting continued capital investment despite uncertain labor markets.[6] In practice, the strongest deployments are solving three problems at once: throughput, quality, and safety. Artificial intelligence improves path planning, machine vision, and predictive support, while collaborative robots and mobile systems reduce repetitive strain and help plants address skilled labor shortages.[1][2] The most credible return on investment cases now focus on proof of value, such as fewer changeover delays, higher first-pass yield, and lower unplanned stoppages rather than automation for its own sake.[1][2] Two current themes stand out. First, major industry events in 2026 are emphasizing the move from pilot projects to scaled industrial deployment.[7] Second, companies are increasingly packaging robotics with software, remote monitoring, and digital work instructions to make automation easier to deploy and maintain.[2] For manufacturers and warehouse operators, the practical takeaway is clear: start with one high-friction process, measure cycle time, downtime, scrap, and labor impact, and then expand only after the business case is proven. The next phase of industrial robotics will likely reward systems that are adaptable, data-driven, and tightly integrated with production software, rather than rigid, single-purpose machines.[1][7] Thank you for tuning in, come back next week for more, and remember this has been a Quiet Please production. For me, check out Quiet Please Dot A I. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta

June 18, 2026

Robots That Actually Work: Why Your Factory Floor is About to Get a Whole Lot Smarter and Your ROI Even Better

This is your Industrial Robotics Weekly: Manufacturing & AI Updates podcast. Manufacturing floors and warehouses are entering a new phase where artificial intelligence and robotics are judged less by flashy demos and more by measurable impact on throughput, quality, and safety. MassRobotics reports that in 2026 so called physical artificial intelligence systems are shifting from proof of concept to fully deployed fleets, especially in welding, machine tending, and intralogistics, driven by persistent skilled labor shortages. Automation.com highlights Cisco’s recent State of Industrial Artificial Intelligence report, where a clear majority of surveyed manufacturers say their top priority is using artificial intelligence for predictive maintenance and real time process optimization, not just analytics dashboards. Several news items this week underline that shift. Manufacturing AUTOMATION reports that Robotiq has launched an artificial intelligence enabled platform called IQ that lets collaborative robots dynamically adapt to part variation on assembly and packaging lines, reducing changeover time and scrap. Robotics 24 slash 7 notes that ahead of the Automate 2026 conference, vendors are showcasing autonomous mobile robots and orchestration software tuned specifically for high mix warehouses, promising double digit gains in order picking productivity and faster payback periods under two years. During Toronto Tech Week, Worldwide Robotics Hub events put the spotlight on physical artificial intelligence, with case studies of mid sized plants using vision guided robots to raise overall equipment effectiveness above eighty five percent while holding labor headcount flat. For listeners considering deployment, three practical actions stand out. First, start with a narrowly defined workflow such as palletizing or kitting, and demand baseline metrics like cycle time, changeover duration, and incident rates so you can quantify return on investment within six to twelve months. Second, prioritize systems that support open industrial standards like OPC Unified Architecture and standard safety specifications for collaborative operation, so robots and artificial intelligence controllers can integrate with existing manufacturing execution systems and safety scanners. Third, invest early in workforce training; the ARM Institute emphasizes that plants seeing the best gains treat technicians as robot supervisors and problem solvers, not as displaced labor. Looking ahead, experts speaking at the Siemens industrial innovation sessions at CES 2026 predict that general purpose, application focused humanoid and mobile manipulators will move from pilot projects to targeted deployment zones such as late stage assembly, tool delivery, and inspection, blurring the line between fixed automation and flexible labor. That points to a future where factories and warehouses are orchestrated ecosystems of people, robots, and artificial intelligence agents coordinating in real time around safety, quality, and cost. Thanks for tuning in, and come back next week for more Industrial Robotics Weekly. This has been a Quiet Please production. For more from me, check out Quiet Please dot A I. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta

325 total episodes available with 252 transcripts

Deep-dive analytics for Industrial Robotics Weekly: Manufacturing & AI Updates

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Industrial Robotics Weekly: Manufacturing & AI Updates?: Industrial Robotics Weekly: Manufacturing & AI Updates is your go-to daily podcast for the latest news in the world of industrial robotics, manufacturing advancements, and AI developments. Stay informed with expert insights and updates on cutting-edge technologies shaping the future of industry. Perfect for professionals and enthusiasts eager to understand the evolving landscape of automation and technology.

For more info go to

https://www.quietplease.ai

Check out these deals https://amzn.to/48MZPjs

This content was created in partnership and with the help of Artificial Intelligence AI.
How often does this podcast release new episodes?: This podcast updates daily.
Where can I listen to this podcast?: This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Does this podcast accept guests?: Yes, this podcast regularly features guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.