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Autonomous tractor for precision spray application! 🍇 Bonsai Robotics, Inc. acquired Farm-ng in July 2025, merging autonomy software with modular electric farm robots into one company. But just couple months before the acquisition I had a chance to see Amiga in action in Watsonville, California (pictures in comments). Amiga... Max is an autonomy-first, diesel-hybrid electric platform working in vineyards. It runs a full spray shift on a fraction of the fuel and labor compared to traditional tractors. Electric rate controller applies product only where it's needed. Turns and skips? It shuts off automatically. You're not spraying empty space or rows you already covered. Less chemical wasted. Better for the environment and the bottom line. Every acre is logged automatically. Full traceability and reporting without manual paperwork. Farmers know exactly what got sprayed where and when. One operator uses the Bonsai app to plan, watch, and adjust multiple robots. Autonomous operation means the tractor works consistently without driver fatigue degrading efficiency. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →show more

Lukas Ziegler

61,630 subscribers

11,726 views • 2 months ago •via X (Twitter)

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8 Comments

Lukas Ziegler2 months ago

march 2026 in watsonville

Clanker2 months ago

@bonsai_robotics okay this clanker can stay

Agnes Broad2 months ago

@bonsai_robotics We all are robots. Most won't have jobs.

Cassidy Waters2 months ago

@bonsai_robotics Robits ftw.

Piotrek2 months ago

that is a great piece of engineering and a masterclass in physical ai It's great for margins but also for employees who shift upwards in the work pyramid and a logical countermeasure to the crawling demographic crash coming to many well-developed countries in the coming decade (and people don't often realize this)

AIKeaton UK2 months ago

@bonsai_robotics Boston Dynamics gets the headlines but the actual deployment volume is in agriculture and warehousing. That's where the real work is.

Mirrorworld AI2 months ago

@bonsai_robotics how does the sim-to-real gap show up in vineyard spray patterns for the Amiga Max?

💎DeCentrAlized⁶⁹⁰⁰💹🧲Non-FiatMAXI🏞️🟧🟦🔺🟣🟡🟢2 months ago

@bonsai_robotics Are we not going to talk about why the first two plants didn't get sprayed? It's clearly affecting the one on the left.

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Lukas Ziegler

181,431 views • 2 months ago

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43,325 views • 1 year ago

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Robert Scoble

35,848 views • 2 months ago

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Robots are coming for one of agriculture's most delicate jobs. Picking berries! 🍓 This is Fieldwork Robotics' Fieldworker 1 platform, designed to autonomously harvest raspberries at speeds comparable to human workers. That might sound simple, but berry picking is one of the hardest challenges in agricultural robotics. The robot needs to identify ripe fruit, avoid damaging fragile berries, and operate efficiently in a constantly changing environment. Fieldworker 1 uses custom AI systems and spectral analysis to assess ripeness and is designed so that a single operator can supervise multiple robots in the field. Agriculture continues to face labor shortages across many regions, while growers are under pressure to improve productivity and reduce waste. That's creating a strong demand for automation solutions that can work alongside existing operations. Fieldwork is already running trials with Costa Group, one of Australia's largest fruit growers, and joins a growing group of companies proving that robotic harvesting is moving from research projects into commercial deployments. That's a great market to look out for robotic solutions. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

25,493 views • 2 months ago

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Lukas Ziegler

13,890 views • 10 months ago

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Today we start a new chapter at Affinity Farms. I always remember my dad talking about grandpa bringing home the first tractor on the farm 75years ago and his dad telling him, standing behind a horse drawn plow, get that thing out of here you’re going to tear down every piece of corn in this field. I always wondered what it was like seeing that transformation, living in a time where machinery replaced horses on the farm. Today we started what I think will be transformational not just for our farm, but for so many. We parked our big planters and tractors in the shed and set loose autonomy on the farm. Handing over all of our fall seeding for cash crop barley, rye and wheat. And planting all of our corn and soybeans next spring. While far from full autonomy on the farm it’s a giant leap of faith in that direction. There will be many hiccups along the way, but it’s something worth trying! Huge thank you to AIT, Precision Planting, and Sabanto for helping bring autonomy to row cropping. And a huge thank you to the farm team for the trust and commitment as we steer through the coming challenges and opportunities! Can’t wait to see what the future holds!

Quint Pottinger (Affinity Farms)

15,601 views • 11 months ago

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Steve Jobs on why consulting is like looking at a picture of a banana: "I don't think there's anything inherently evil in consulting. But without owning something over an extended period of time, like a few years where one has a chance to take responsibility for one's recommendations, where one has to see one's recommendations through all action stages and accumulate scar tissue for the mistakes and pick oneself up off the ground and dust oneself off… one learns a fraction of what one can." Steve continues: "When you're coming in and making recommendations and not owning the results, not owning the implementation, it's a fraction of the value and a fraction of the opportunity to learn and get better." He uses an analogy: "You do get a broad cut at companies, but it's very thin. It's like a picture of a banana. You might get a very accurate picture, but it's only two-dimensional. Without the experience of actually doing it, you never get three-dimensional. So you might have a lot of pictures on your walls. You can show it off to your friends, 'I've worked in bananas, I've worked in peaches, I've worked in grapes,' but you never really taste it."

Jaynit

51,172 views • 8 months ago

This is what open robotics actually looks like! 🔓 I was in Bordeaux, sitting inside Pollen Robotics, and had a chance to play around with their humanoid robot Reachy 2. It’s expressive, modular, and can even bring you coffee, and of course runs Python or Rust. I was talking with Reachy in 3 different languages, tele-operating it and manipulating kitchen stuff, and make it even mimic my gestures. The best part is that there are no locked APIs, or hidden stuff, just an open platform that you can build upon. The connection with Hugging Face makes it super easy to start, as the open source approach allows everyone to contribute, experiment and add their own things. I already ordered his little brother Reachy Mini, let's see what a robotics rookie can do with that robot! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

This is what open robotics actually looks like! 🔓 I was in Bordeaux, sitting inside Pollen Robotics, and had a chance to play around with their humanoid robot Reachy 2. It’s expressive, modular, and can even bring you coffee, and of course runs Python or Rust. I was talking with Reachy in 3 different languages, tele-operating it and manipulating kitchen stuff, and make it even mimic my gestures. The best part is that there are no locked APIs, or hidden stuff, just an open platform that you can build upon. The connection with Hugging Face makes it super easy to start, as the open source approach allows everyone to contribute, experiment and add their own things. I already ordered his little brother Reachy Mini, let's see what a robotics rookie can do with that robot! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

19,433 views • 8 months ago

Robots moving railcars! 🚃 Did you know that KUKA is also in the mobile robots business? Yes, you heard that right. And not just any robots. Robots that carry up to 56 tons! 🏋🏼 The railcar production process is highly complex, particularly when moving massive cars sideways within a plant. This challenge has been addressed at the Siemens facility in Germany using the OmniMove system from KUKA. The system allows for precise positioning, enabling the units to lift, move, and lower railcars with remarkable accuracy. With Mecanum wheels, the OmniMove units can move seamlessly in any direction, making the process incredibly efficient. Together, these units are capable of lifting up to 56 tons, streamlining heavy railcar production. This one is clearly tele-operated, but just looking at it makes me feel safer when I see a human in the loop. What a great use case for mobile robots! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Robots moving railcars! 🚃 Did you know that KUKA is also in the mobile robots business? Yes, you heard that right. And not just any robots. Robots that carry up to 56 tons! 🏋🏼 The railcar production process is highly complex, particularly when moving massive cars sideways within a plant. This challenge has been addressed at the Siemens facility in Germany using the OmniMove system from KUKA. The system allows for precise positioning, enabling the units to lift, move, and lower railcars with remarkable accuracy. With Mecanum wheels, the OmniMove units can move seamlessly in any direction, making the process incredibly efficient. Together, these units are capable of lifting up to 56 tons, streamlining heavy railcar production. This one is clearly tele-operated, but just looking at it makes me feel safer when I see a human in the loop. What a great use case for mobile robots! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

19,285 views • 3 months ago

Robots helping with grain bins! 🌾 That's quite an interesting use case for robots. Let's break it down! So grain bins are explosion hazards. The interior is classified as an Ex-zone due to dust that can ignite. That's just the beginning. It takes less than five seconds to become helplessly trapped in flowing grain, less than thirty seconds to be fully engulfed. Purdue data shows 22 fatalities in confined spaces such as grain bins. That's why it's a great application for robotics. This robot from Grain Weevil is about two feet long, weighs 50 pounds, and uses two motorized augers for propulsion. As it moves, it creates a "controlled avalanche", grain breaks up and levels itself using gravity. It handles the work farmers do manually: leveling grain, breaking crusts and bridges that form from moisture, removing grain from walls, and feeding extraction augers during unloading. Current version runs 1-2 hours on a 15-20 minute charge. Farmers control it from outside the bin with a remote and camera system. Full autonomy is coming by fall 2026. GPS and Wi-Fi don't penetrate steel grain bins. Traditional autonomous machines fail. Grain Weevil is overcoming this by mounting small magnetic radio devices outside the grain bin, triangulating space so the robot maps the interior in real time. 📻 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Robots helping with grain bins! 🌾 That's quite an interesting use case for robots. Let's break it down! So grain bins are explosion hazards. The interior is classified as an Ex-zone due to dust that can ignite. That's just the beginning. It takes less than five seconds to become helplessly trapped in flowing grain, less than thirty seconds to be fully engulfed. Purdue data shows 22 fatalities in confined spaces such as grain bins. That's why it's a great application for robotics. This robot from Grain Weevil is about two feet long, weighs 50 pounds, and uses two motorized augers for propulsion. As it moves, it creates a "controlled avalanche", grain breaks up and levels itself using gravity. It handles the work farmers do manually: leveling grain, breaking crusts and bridges that form from moisture, removing grain from walls, and feeding extraction augers during unloading. Current version runs 1-2 hours on a 15-20 minute charge. Farmers control it from outside the bin with a remote and camera system. Full autonomy is coming by fall 2026. GPS and Wi-Fi don't penetrate steel grain bins. Traditional autonomous machines fail. Grain Weevil is overcoming this by mounting small magnetic radio devices outside the grain bin, triangulating space so the robot maps the interior in real time. 📻 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

11,089 views • 2 months ago

Robotics is entering the mainstream! 👀 Let's accept this fact. Consumptionism – stonks. Possibilities (HW + SW) – stonks. Demographics - not stonks. Modern robots are often designed to interact with our legacy world, whether it's a household, a factory, or a shipyard. That means they often need to work with existing machines, tools, and spaces. In short: retrofitting. Improving old machines with new technologies without major interference in their operation. Modern way of integrating things. You don't have to change the entire environment to deploy a robot. The robot will adapt, just as human would when freshly hired. The promise is to have an army of robots to help with the world designed for us. I also believe that general purpose robots, are not a direct competition for single purpose machines (like a highly efficient specialized packaging machine, for example). It's like adding a robot to this carriage. Specialized machine could be a car ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Robotics is entering the mainstream! 👀 Let's accept this fact. Consumptionism – stonks. Possibilities (HW + SW) – stonks. Demographics - not stonks. Modern robots are often designed to interact with our legacy world, whether it's a household, a factory, or a shipyard. That means they often need to work with existing machines, tools, and spaces. In short: retrofitting. Improving old machines with new technologies without major interference in their operation. Modern way of integrating things. You don't have to change the entire environment to deploy a robot. The robot will adapt, just as human would when freshly hired. The promise is to have an army of robots to help with the world designed for us. I also believe that general purpose robots, are not a direct competition for single purpose machines (like a highly efficient specialized packaging machine, for example). It's like adding a robot to this carriage. Specialized machine could be a car ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

14,396 views • 7 months ago

We’re excited to welcome Animesh Garg as our new Chief Research Officer at microagi, with the team from Usable Robots joining him. He has spent most of his career working on one of the hardest problems in robotics: getting robots out of the lab and into the real world. Frontier AI now works. Hardware is becoming cheap. And the industry is finally learning how to collect robot data at scale. What’s still missing is post-training. Taking a general-purpose model and teaching it one specific job, in one specific environment, until a company can actually depend on it. In LLMs, post-training is what turned impressive demos into products. In robotics, that layer barely exists yet. A strong model is a capability. A robot that can perform the same job, on the same line, every shift, without an engineer standing next to it, is a product. And that process has to happen again for every task, every site, and every customer. We believe the company that can do this well, fast, and at scale will be the company that puts robots into production at massive scale. MicroAGI is building both sides of that system. With shift, we’re building one of the most diverse and largest egocentric datasets in the world. With Atlas, we post-train and harness models directly on enterprise deployments. Our goal is simple: Deploy 1 million robots.

We’re excited to welcome Animesh Garg as our new Chief Research Officer at microagi, with the team from Usable Robots joining him. He has spent most of his career working on one of the hardest problems in robotics: getting robots out of the lab and into the real world. Frontier AI now works. Hardware is becoming cheap. And the industry is finally learning how to collect robot data at scale. What’s still missing is post-training. Taking a general-purpose model and teaching it one specific job, in one specific environment, until a company can actually depend on it. In LLMs, post-training is what turned impressive demos into products. In robotics, that layer barely exists yet. A strong model is a capability. A robot that can perform the same job, on the same line, every shift, without an engineer standing next to it, is a product. And that process has to happen again for every task, every site, and every customer. We believe the company that can do this well, fast, and at scale will be the company that puts robots into production at massive scale. MicroAGI is building both sides of that system. With shift, we’re building one of the most diverse and largest egocentric datasets in the world. With Atlas, we post-train and harness models directly on enterprise deployments. Our goal is simple: Deploy 1 million robots.

microagi

69,460 views • 4 days ago