Mitsubishi Electric FA Poland

As Business Development Manager for Intralogistics at Mitsubishi Electric, I help industrial and logistics companies rethink and redesign their internal flows, using cutting-edge automation technologies.

My role combines strategic sales development, partner enablement and solution design – tailored to the future of smart warehouses and automated manufacturing environments.

Key focus areas:
🔹 ASRS (automated storage and retrieval systems)
🔹 AGV / AMR-based transport
🔹 Palletizing and depalletizing cells
🔹 AI-driven control and monitoring (ICONICS, SCADA, MES)
🔹 Integration with partners (AIUT, Transsystem, MPL Techma etc.)

I work closely with both end users and integrators to ensure seamless project development, from idea to ROI.

My personal mission:

Turn industrial automation into a strategic advantage, not just a capital expense.

Business Development Manager | Intralogistics Solutions | Mitsubishi Electric

I specialize in sales of comprehensive industrial automation solutions, from robots to HMI panels, focusing on the lower silesia Poland region.

Technical Sales Engineer

Sii Poland

PLC Programmer - AUDI Project (03.2022 - 06.2022)

Commissioned oil pump production line for Audi, programming manual stations with client-specific standards.

PLC Programmer / Project coordination- Bosch Project (06.2022 - 11.2022)

Preparation of programmes on 7 asembly stations project supervision implementation of new employees and their coordination.

PLC Programmer

Simtech Automatyka Przemysłowa

Social media specialist 

Developing social media, 
running a company profile, 
developing cooperation with the company's partners.

Social Media Specialist

PLC Programmer - Caparol (06.2020 – 11.2020)

Designing and programming six operator panels for complete production monitoring,
dechanical analysis of the bucket feeding machine resulting in presentation of a possible solution to reduce the process cycle time,
parameterisation of encoders and NORD frequency inverters responsible for the correct functioning of the conveyors in production,
parameterization and commissioning of FESTO actuators,
so ware modifications and testing,
providing training to allow operators to learn the capabilities of the designed
operating system,
designing a camera system to send the necessary information to the robot about the
current position of the manufactured product. This system significantly speeded up the process and saved cycle time.

PLC Programmer - Amazon (Bremen, German / Murcia, Spain) (01.2021 – 01.2022)

Establishing communication between multiple controllers
commissioning of production lines. Identifying labels, starting motors for
conveyor belts, printers, labelers, and sorting packages via Intralox,
working with Amazon standard programming,
troubleshooting electrical problems and industrial network, working with
documentation.

Toyota Boshoku Poland (11.2020 – 01.2021)

Establishing communication between multiple controllers,
commissioning of production lines. 
identifying labels, starting motors for conveyor belts, printers, labelers, and sorting packages via Intralox.
working with Amazon standard programming.
troubleshooting electrical problems and industrial network, working with
documentation.

ISCAS Sp. z o.o.

Technical support for automation engineers,
designing and developing SCADA systems,
programming of PLCs, HMI panels and connecting them with automation devices of other vendors,
creation, analysis and development of existing AKPiA documentation,
responsible for programming the mobile HMI for diagnostics on the Elektrolux production line,
migration of DCS systems to newer technological solutions.

Junior automation Engineer / Technical Support (PL)

https://www.passionfroot.me/robert-smak

I help manufacturing teams find the right automation solution for their specific production needs. By combining deep market knowledge with a broad network of technology partners, I connect you with the tools, systems, and integrators that will deliver measurable improvements.

Whether it’s reducing downtime, increasing throughput, or improving safety, my goal is to match each challenge with the most effective, proven solution — and guide you from concept to successful implementation.

If you need the right partner to automate your processes, I’ll help you find them and make sure the project delivers results from day one.

Rotary motion from linear?  ⚙️

It’s standard practice in mechanics, but rarely looks this elegant.

This is the Tusi Couple. 

A brilliant geometric proof that perceived rotary motion can actually be the sum of simple reciprocating motions.

For an engineer, this is pure poetry:
➡️ Each element is constrained to simple linear motion within its track.
➡️ The "rotation" effect is the result of perfect phase synchronization.

A mechanism from the 13th century, yet the kinematic principles remain fundamental to this day. Sometimes the simplest solutions are the best.

Robert Smak

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Automate Advocate | Business Development Manager | Intralogistics & Automation | AGV • AMR • AS/RS • Robotics | Boosting OEE, Cutting Cycle Times

Wilhelm Brull

Why Robots Need a Sense of Fear.

In risk-aware MPPI, a robot doesn’t plan a path — it estimates the probability of future collisions.

 Hundreds of possible scenarios evaluated in real time, long before anything actually happens.

And here’s the interesting part:

👉 In dense warehouses, AGVs lose more OEE to bad decisions than to slow drives.

 That’s why smarter motion planning can boost throughput more than any hardware upgrade.

In short:
 robots will only get fast once they learn how to be afraid — in the right way. 🚀

Credit: khaled mustafa

You’d think it’s a simple technological process.

Two biscuits, a bit of cream, a quick press  and a cookie is done.

Then you see the process up close… and it turns into pure automation magic.
Each biscuit must be perfectly oriented.

The cream, dosed to the gram, at the right temperature and viscosity.
 The second biscuit - synchronized so precisely that it lands or is placed exactly on the cream layer.

No shifts. No cracks. No guessing.

This isn’t a “simple machine”.
It’s a high-speed production line with dozens of mechanisms, conveyors, depositors, vision systems, and synchronization units, all working with sub-millimeter accuracy = often at hundreds of cookies per minute.

If you enjoy watching real industrial processes, I truly recommend the YouTube channel Fabryki w Polsce.


Great behind the scenes content for anyone who loves automation.

Automation can be beautiful  even when it’s just cookies. 🍪🙂 - Piotr Kupiec

🚀 Robots that stop repeating and start understanding

Most industrial robots do exactly what they are programmed to do.
They assume every part is identical, every fixture is precise, and every motion will work the same way every time.
Real factories know that reality looks very different.

ABAGY Robotic Systems  Robotics is redefining that reality.

Their software allows robots to calculate and adjust their paths dynamically, based on what they actually see through 3D vision.

The system recognizes geometry, interprets variations, and corrects motion in real time using AI-driven trajectory planning.

This means no reprogramming, no perfect setups, and no downtime between batches.
It brings automation into the world of high-mix, low-volume production, where flexibility and precision finally coexist.

The true breakthrough in robotics isn’t more sensors or faster cycles.
It’s giving robots the ability to understand what they see.

Think the video is sped up?
 It’s not.

What you’re looking at is a high-speed continuous-motion transport system = the kind that quietly does the impossible on modern production lines.

Grippers flying on an oval track, picking and placing with millisecond accuracy, all while the machine never stops for a single cycle.

These systems shine where throughput and precision must coexist: packaging, forming, assembly, dosing, or handling fragile products at full speed.


The magic? Perfect synchronization between motion, gripping force and product flow - that only automation makes possible. STAX Technologies

A small piece of tech, a huge impact on line efficiency.

Newtech Intelligent Automation is a great example of a company that deliberately chose its niche: cutting + handling in the food industry.


And that consistency really pays off.
If you’ve spent years designing ultrasonic cutting and portioning systems, it’s natural to take ownership of the next step - feeding and placing the product. In food processing this matters even more: the products are irregular, delicate, and the process needs to stay stable.

That’s why their latest pick & place cell built on ABB PickMaster Twin makes a lot of technical sense:
small footprint → easy to integrate into existing lines,
fast recipe change → critical when SKU variability is high,
random flow handling → PickMaster manages tracking + vision far more reliably than typical custom setups,
digital twin → catches issues before they appear on the production floor.

The takeaway?

This is a solid direction for food manufacturers: specialization + software that solves real process problems instead of just driving the robot.

📦 Smart little solution, isn’t it?

An automatic case sealer that adapts to box dimensions on the fly – no manual setup needed, making packaging faster and more reliable.

Ideal where high mix of packaging sizes is the daily norm.

🤔 Curious to hear your thoughts – can you see this working in your environment?

 Or maybe you’ve already tried something similar?

JK Robotics Sp. z o.o.

🤖 Robots that finally see what they’re doing.

For decades, robots worked blind —
repeating the same moves,
hoping the part was exactly where it should be.

In real factories, it never is.

That’s where Inbolt changes the game. ⚙️

Their real-time robot guidance uses 3D vision + AI
mounted directly on the robot arm.
It sees, thinks and adapts — in milliseconds.

🧠 0.5 mm precision
⚡ < 80 ms reaction time
🏭 70+ factories
⏱️ Deployed in days, not weeks

This week they’re showcasing it at Factory Innovation Week Tokyo,
alongside Universal Robots and Ryoden Trading Co. 🇯🇵

No perfect fixtures.
No downtime.
Just perception in motion.

Because the future of automation isn’t about programming —
it’s about understanding.

💬 DM me if you’d like to see how this tech turns robots into adaptive coworkers.

🦾 “The smallest and most precise robot arm?” — a bold claim worth questioning.

Oleksandr Stepanenko just introduced a hand-sized 6-axis robot with sub-micron precision.

Maybe not the absolute smallest in the entire robotics world — but undeniably:
an impressive piece of engineering.

This isn’t a robot competing with human strength.

 It’s competing with human finesse - exactly where automation usually hesitates: microelectronics, photonics, med-tech.

Miniaturisation like this unlocks workflows once considered “too delicate to automate.”

Respect to Oleksandr - not just for the specs, but for pushing the conversation about what small-scale robotics can really do.

In automated grafting, the real magic isn’t the blade or the robot arm.

It’s the eye - Vision AI.

This system turns a biological, unpredictable process into something almost engineered:
Measures rootstocks and scions with sub-millimeter precision
Identifies defects humans often miss
Selects the perfect cutting point for each plant
Verifies the quality of the graft before it leaves the station

What fascinates me as an automation engineer?

Vision AI doesn’t just see the plant - it understands it.

And that’s the moment grafting stops being a manual craft and becomes a controlled, repeatable process.

TTA-ISO, Florian Palatini Leon Reymond van den Berg

When AI handles the decision-making, the robot finally knows exactly what to do.

OriSort from Orion MIS Ltd is an interesting piece of tech - but with sortation systems, I always come back to one question:

What do YOU pay attention to when implementing solutions like this?

Because speed alone is just the headline.

In real operations, it’s the details that matter:
 🔹 stability with different parcel shapes
 🔹 integration quality with existing lines
 🔹 real throughput vs. brochure numbers
 🔹 service, spare parts, and response times
 🔹 performance during peak season

Every sorter looks great on paper.

The real test begins in continuous operation.

I’m curious - what’s the key evaluation factor for you when choosing sortation systems?

🚀 How to win back floor space - vertically?

Spotted in action: AmbaFlex Spiral Conveyor Solutions vertical conveyors flipping traditional line design on its head.

No forklifts. No elevators. No clutter.

Just clean, controlled product elevation at up to 2,000 units/hour.
✅ Add retractable conveyors - and boom, you've got a vertical sorter
✅ Connect floors without slowing the flow
✅ Save space & boost throughput - without new construction

It’s one of those solutions where you think:

 “Why didn’t we always do it this way?”


💡 Takeaway for automation pros?

 Sometimes the best optimization… is up.

Spotted: Florian Palatini

Why this setup works in full automation

When the EAGLE LASERS iNspire 2040 (15 kW) runs together with a 4-tower storage system and an Astes4 separator, the entire production line stays in sync. 

This setup isn’t about raw cutting power - it’s about keeping the flow stable.

Why this configuration matters:

✅ consistent, burr-free cutting that doesn’t require manual correction
✅ stable performance during long production cycles
✅ predictable cut quality that robots, loaders and conveyors can rely on
fewer micro-interruptions, which means higher real throughput

In a fully automated environment, the best machine isn’t the fastest -
it’s the one that keeps the system running without interruptions.

Via: Jarek Gołebiewski

🏭 Why should the industry pay attention?

Today’s automation still relies on:
 – rigid PLC sequences,
 – manually defined robot trajectories,
 – integrations hard-coded for a single use case.


Embodied AI fundamentally changes this.
Robots powered by models like Gemini Robotics 1.5 can:
 ✔ interpret a task, not just execute prewritten logic,
 ✔ adapt motion in real time using perception signals,
 ✔ generate trajectories contextually instead of manual point teaching,
 ✔ adjust strategies dynamically when environments shift,
 ✔ interact with MES/WMS/ERP as AI agents, not traditional PLC endpoints
.
These are robots that don’t just move - they understand the process.

🌍 The biggest shift?

Robotics is becoming less about hardware limits and more about:
 – predictive motion models,
 – environment-driven learning,
 – multi-step planning,
 – multimodal perception.

Robots are evolving into decision-making systems, not just motion executors.

And sooner than we expect, the standard won’t be programming robots -
it will be telling them what outcome we want, 
and they will generate the optimal plan on their own.

Robots That See. Processes That Breathe.
A PTS delivers the parts.
A robot with AI-vision identifies and places them.

And the operator? 

Moves from doing micro-tasks to overseeing the flow.

It’s not the end of manual work - it’s the relief of it, exactly where repetition drains attention instead of creating value.

This setup shows a simple truth in automation:
when transport, identification and motion become a single, connected action, a small improvement can scale across an entire process.

Where in your workflow would this kind of micro-automation take pressure off your team on day one?

Credit: Max Novotny

🧠 The human touch — finally automated.

For decades, polishing was untouchable.
Too delicate. Too irregular. Too human.

Not anymore.

Robots now master what once defined craftsmanship —
through adaptive force control, AI-driven path correction, and real-time pressure sensing.

Every motion is learned.
Every surface — repeatable.

🚘 In automotive: flawless panels and alloy rims.
✈️ In aerospace: composite perfection, every time.
⚙️ In manufacturing: mirror finishes in minutes, not hours.

The secret?
Not stronger robots - smarter control.

Because when automation learns how things should feel,
that’s when precision becomes intelligence.

💬 DM me if you’d like to see which AI polishing systems are setting new benchmarks in surface quality and throughput.

🔥 Welding that thinks.

Forget programming. Forget perfect fixtures.

Path Robotics (USA) builds AI-driven welding cells that see, decide, and adapt — in real time.

Powered by 3D vision and Obsidian-1™ AI, they detect seams, adjust angles, and compensate for heat distortion — all autonomously.

📊 Results?
⚙️ 17× faster than manual.
✅ 97% first-pass yield.
💰 30% lower cost, with $0 CapEx thanks to Robots-as-a-Service.

They’re not selling machines.
They’re selling certainty — and redefining what “automation” really means.

💬 DM me if you want the KPI sheet and use-case breakdown before you pilot your first AI welding cell.

Most people play with SAM 3 to cut a cat out of a picture.
I see something very different.

I see a production counter on a packaging line.
A real tool for real factories.

SAM 3 by Meta can, in one model:
 ✔ recognize objects from a simple text prompt (“cardboard box on a conveyor”),
 ✔ segment them pixel-perfectly,
 ✔ track them across video in real time.

And that unlocks serious industrial applications:
🔹 real-time quality inspection,
🔹 tracking flow and counting good pieces,
🔹 following boxes, pallets and components across intralogistics,
🔹 building datasets for vision systems without manual labeling.

The web version is just a toy.
This is how technological shifts always start:
we play → we explore → we industrialize.

The web demo is fun.

The open-source model is where production value is created.

If you want to see how fast this will reshape manufacturing, start here:
 👉 https://lnkd.in/dff7jRAX

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