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Borg Autonomous Pallet Mover v1.0 Fully autonomous and omnidirectional. The U-shaped gantry automatically lifts for visibility over loaded pallets. A 360 degree camera view enhances safety in dynamic environments. The standard model comes with fixed forks, with an optional upgrade for adjustable width forks. Our integrated VLM with input...

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borg™

6,702 subscribers

31,990 Aufrufe • vor 1 Jahr •via X (Twitter)

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11 Kommentare

Profilbild von The Humanoid Labs
The Humanoid Labsvor 1 Jahr

best looking pallet mover I've ever seen 😉

Profilbild von NICE
NICEvor 1 Jahr

Stay competitive by balancing cutting-edge AI with automation tools. Forrester shows how.

Profilbild von Ark Baltser
Ark Baltservor 1 Jahr

Lets go!

Profilbild von Briscoe Crain IV
Briscoe Crain IVvor 1 Jahr

Borg! 🦾 Borg! 🦾 Borg! 🦾

Profilbild von DeBarra Shaw
DeBarra Shawvor 1 Jahr

Smooth movement, sleek design. Nice.

Profilbild von AG 🐊
AG 🐊vor 1 Jahr

@LidlGB first customer 🫨

Profilbild von Bruno
Brunovor 1 Jahr

Looking clean!

Profilbild von FelixDaniels
FelixDanielsvor 1 Jahr

How are you making the small wheels omni directional, and stable enough for heavy loads?

Profilbild von borg™
borg™vor 1 Jahr

That was one of the biggest challenges, we designed and built them in house.

Profilbild von Froggii
Froggiivor 1 Jahr

whoa

Profilbild von Borg King
Borg Kingvor 1 Jahr

I approve!

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Our first mission at Borg is to help restore America's industrial and manufacturing strength with the help of our Ai integrated robots. In this video, you'll see our autonomous pallet jack and our modular humanoid robot Borg 01 in action. Borg 01 modular design enables autonomous switching between a bipedal and wheeled base, as well as interchangeability of end effectors. We're gearing up to launch three robots in late Q2 including the pallet jack, the humanoid Borg 01, and one more yet to be announced. Stay tuned. Built in Detroit.
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Our first mission at Borg is to help restore America's industrial and manufacturing strength with the help of our Ai integrated robots. In this video, you'll see our autonomous pallet jack and our modular humanoid robot Borg 01 in action. Borg 01 modular design enables autonomous switching between a bipedal and wheeled base, as well as interchangeability of end effectors. We're gearing up to launch three robots in late Q2 including the pallet jack, the humanoid Borg 01, and one more yet to be announced. Stay tuned. Built in Detroit.

borg™

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NEWS: Tesla has introduced an updated Robotaxi website, a clear sign that expansion is coming soon. “We’re bringing autonomous rides to you today—starting with Model Y. Autonomous Robotaxi rides are currently being offered in Austin, Texas. To get started, download the Robotaxi app. Cybercab, our purpose-built fully autonomous vehicle, will offer rides in your area in the future. We are building an autonomous future that is accessible to all people. Our Robotaxi vehicles are designed to support various accessibility needs including space for service animals and room to store some wheelchairs and other assistive devices. The Tesla app is currently available in 29 languages, with more being added.”
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The Ultimate Garden Space-Savers: Pallets & Milk Crates Maximize your yard space and grow an abundance of fresh produce with these clever DIY vertical gardening hacks. How to Transform a Shipping Pallet Into a Vertical Garden An old wooden pallet can easily become a thriving, space-saving garden wall perfect for small yards, patios, or balconies. Prep the Base: Lay the pallet flat and wrap the back, bottom, and sides with heavy-duty landscape fabric. Use a staple gun to secure it tightly along the edges. This creates a secure backing that holds the soil in place. Fill with Soil: Flip the pallet over so the open slats are facing up. Pour high-quality potting mix into the openings, pressing it firmly into the channels until the pallet is packed full. Planting: Tuck your starter plants closely together into the exposed soil between the slats. The Vertical Shift: Leave the pallet flat for a week or two to allow the roots to take hold and stabilize the soil. Once established, lean it securely against a wall or fence, water thoroughly, and watch it grow. Best Plants for Pallet Gardening Shallow-rooted plants and compact varieties thrive best in the structured slots of a vertical pallet: Strawberries: The absolute king of pallet gardening. They cascade beautifully over the wooden slats and keep the fruit off the damp ground, preventing rot. Leafy Greens: Lettuce, spinach, kale, and arugula thrive in this setup and are easy to harvest at eye level. Fresh Herbs: Create a living herb wall with basil, thyme, oregano, mint, and parsley. Compact Flowers: Marigolds, pansies, and petunias add vibrant color and help attract pollinators to the garden. The Stacking Secret to Maxing Out Crate Potatoes Growing potatoes vertically in stacked milk crates is one of the most efficient ways to get a massive yield out of a tiny footprint. Line with Forage: Line the bottom of the first milk crate with a thick layer of straw or hay. This keeps the soil from washing out while maintaining excellent drainage. The First Layer: Add a few inches of rich compost and potting soil, then place the seed potatoes (sprouts facing up) onto the dirt. Cover them with another layer of soil. The Stacking Hack: As the potato plants grow and the green leafy stems reach toward the sun, place a second milk crate directly on top of the first. Continuous Hilling: Add more soil and straw around the growing stems, leaving just the top leaves exposed. Repeat this process, stacking up to three or four crates high. The Payoff: The buried stems will continually send out new roots that produce extra tubers. When the plants die back at the end of the season, simply unstack the crates one by one for an incredibly easy, dig-free harvest of fresh, clean potatoes.
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The Ultimate Garden Space-Savers: Pallets & Milk Crates Maximize your yard space and grow an abundance of fresh produce with these clever DIY vertical gardening hacks. How to Transform a Shipping Pallet Into a Vertical Garden An old wooden pallet can easily become a thriving, space-saving garden wall perfect for small yards, patios, or balconies. Prep the Base: Lay the pallet flat and wrap the back, bottom, and sides with heavy-duty landscape fabric. Use a staple gun to secure it tightly along the edges. This creates a secure backing that holds the soil in place. Fill with Soil: Flip the pallet over so the open slats are facing up. Pour high-quality potting mix into the openings, pressing it firmly into the channels until the pallet is packed full. Planting: Tuck your starter plants closely together into the exposed soil between the slats. The Vertical Shift: Leave the pallet flat for a week or two to allow the roots to take hold and stabilize the soil. Once established, lean it securely against a wall or fence, water thoroughly, and watch it grow. Best Plants for Pallet Gardening Shallow-rooted plants and compact varieties thrive best in the structured slots of a vertical pallet: Strawberries: The absolute king of pallet gardening. They cascade beautifully over the wooden slats and keep the fruit off the damp ground, preventing rot. Leafy Greens: Lettuce, spinach, kale, and arugula thrive in this setup and are easy to harvest at eye level. Fresh Herbs: Create a living herb wall with basil, thyme, oregano, mint, and parsley. Compact Flowers: Marigolds, pansies, and petunias add vibrant color and help attract pollinators to the garden. The Stacking Secret to Maxing Out Crate Potatoes Growing potatoes vertically in stacked milk crates is one of the most efficient ways to get a massive yield out of a tiny footprint. Line with Forage: Line the bottom of the first milk crate with a thick layer of straw or hay. This keeps the soil from washing out while maintaining excellent drainage. The First Layer: Add a few inches of rich compost and potting soil, then place the seed potatoes (sprouts facing up) onto the dirt. Cover them with another layer of soil. The Stacking Hack: As the potato plants grow and the green leafy stems reach toward the sun, place a second milk crate directly on top of the first. Continuous Hilling: Add more soil and straw around the growing stems, leaving just the top leaves exposed. Repeat this process, stacking up to three or four crates high. The Payoff: The buried stems will continually send out new roots that produce extra tubers. When the plants die back at the end of the season, simply unstack the crates one by one for an incredibly easy, dig-free harvest of fresh, clean potatoes.

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Just over a month since signing an MOU that quickly followed our joint work at the U.S. Army Operation Jailbreak, Havoc and AZAK continue advancing autonomous ground systems together. What started as a rapid integration effort has become an ongoing partnership focused on quickly developing and scaling autonomous ground capabilities. In this video, Havoc COO Joe Turner and AZAK CEO Ben Meager discuss the latest. AZAK's innovative wheel architecture combines a low center of gravity with exceptional ground clearance, allowing the vehicle to reach terrain that conventional ground vehicles simply can't. Combined with Havoc's collaborative autonomy software, those capabilities become even more powerful—enabling autonomous systems to navigate challenging environments, project other autonomous assets forward, and extend mission reach without sacrificing endurance. This partnership demonstrates how quickly interoperable, open-architecture systems can move from integration to real capability. Thank you again to U.S. Army Futures and Concepts Command for creating environments that bring industry together to collaborate, integrate, and deliver at speed.

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Today we're announcing our new office and autonomous fleet in Japan! 🙌 This has been a year in the making — here's the story behind Wayve's journey to Japan 🇯🇵 Just over one year ago I was looking over the Tokyo skyline as we were completing our Series C fundraise, wondering how our AI would navigate the narrow winding streets. At that point it was a dream, but in the last year, it has become reality. The right team at the right time: 6 months ago we made our first hire in Japan. I'm grateful for Masa Kameyama taking a bet on Wayve and for his partnership leading our presence in Japan (we have a lot of great people around Wayve called Masa 😄). I'm excited about the opportunity to welcome world-class and diverse experience to Wayve's team. We're hiring and building an awesome team in Japan! The right product at the right time: for a long time I've been impressed by Japanese automaker's scale and leadership in safety and lean manufacturing. Now I'm witnessing bold and brave decisions from automotive executives to lean into AV2.0. There is an opportunity for Japanese automakers to leap-frog other markets to be the first to bring AV2.0 to global scale. We are delighted to be partnering with Nissan Motor to make this a reality in 2027 and to be working with partners like Uber, タクシーアプリ S.RIDE(エスライド) 公式アカウント and SoftBank. Fast forward to yesterday, I landed in Tokyo and was treated by being picked up by one of our autonomous vehicles! Today, I’ve just got off stage at our press conference, launching our brand new Testing and Development Centre in Yokohama and autonomous vehicle fleet in Japan. Our fleet of autonomous vehicles are now testing around the world in UK 🇬🇧, Germany 🇩🇪, Canada 🇨🇦, US 🇺🇸 and now Japan 🇯🇵. This is an important proof point showing Wayve is capable of being a global company and delivering the benefits of Embodied AI to consumers around the world.

Alex Kendall

41,277 Aufrufe • vor 1 Jahr

🚀 Meta FAIR is releasing several new research artifacts on our road to advanced machine intelligence (AMI). These latest advancements are transforming our understanding of perception. 1️⃣ Meta Perception Encoder: A large-scale vision encoder that excels across several image & video tasks. 2️⃣ Meta Perception Language Model: A fully open & reproducible vision-language model designed to tackle visual recognition tasks. 3️⃣ Meta Locate 3D: An end-to-end model for accurate object localization in 3D environments. 4️⃣ Releasing model weights for our 8B-parameter Dynamic Byte Latent Transformer, an alternative to traditional tokenization methods with the potential to redefine the standards for language model efficiency and reliability. 5️⃣Collaborative Reasoner: A framework for evaluating & improving collaborative reasoning skills in language models. Download the code, datasets, and research papers and learn more about how these artifacts are paving the way for more efficient and accurate AI systems.➡️
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🚀 Meta FAIR is releasing several new research artifacts on our road to advanced machine intelligence (AMI). These latest advancements are transforming our understanding of perception. 1️⃣ Meta Perception Encoder: A large-scale vision encoder that excels across several image & video tasks. 2️⃣ Meta Perception Language Model: A fully open & reproducible vision-language model designed to tackle visual recognition tasks. 3️⃣ Meta Locate 3D: An end-to-end model for accurate object localization in 3D environments. 4️⃣ Releasing model weights for our 8B-parameter Dynamic Byte Latent Transformer, an alternative to traditional tokenization methods with the potential to redefine the standards for language model efficiency and reliability. 5️⃣Collaborative Reasoner: A framework for evaluating & improving collaborative reasoning skills in language models. Download the code, datasets, and research papers and learn more about how these artifacts are paving the way for more efficient and accurate AI systems.➡️

AI at Meta

163,374 Aufrufe • vor 1 Jahr

NEWS: NVIDIA just announced Alpamayo, what CEO Jensen Huang calls the world’s first thinking, reasoning autonomous vehicle AI, launching on U.S. roads later this year, starting with the Mercedes CLA. Jensen: "It's trained end-to-end. Literally from camera in to actuation out; It reasons what action it is about to take, the reason by which is came about that action, and the trajectory." Alpamayo introduces Vision-Language-Action (VLA) models, which enable self-driving systems to interpret what they see, reason about complex driving scenarios, and generate driving actions. The platform includes large reasoning models, simulation tools for testing rare and edge-case scenarios, and open datasets for training and validation. NVIDIA says the approach improves transparency, safety, and robustness in autonomous systems, particularly in complex real-world environments, and supports progress toward higher levels of vehicle autonomy: "With a 10-billion-parameter architecture, Alpamayo 1 uses video input to generate trajectories alongside reasoning traces, showing the logic behind each decision. Developers can adapt Alpamayo 1 into smaller runtime models for vehicle development, or use it as a foundation for AV development tools such as reasoning-based evaluators and auto-labeling systems. Alpamayo 1 provides open model weights and open-source inferencing scripts. Future models in the family will feature larger parameter counts, more detailed reasoning capabilities, more input and output flexibility, and options for commercial usage."
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NEWS: NVIDIA just announced Alpamayo, what CEO Jensen Huang calls the world’s first thinking, reasoning autonomous vehicle AI, launching on U.S. roads later this year, starting with the Mercedes CLA. Jensen: "It's trained end-to-end. Literally from camera in to actuation out; It reasons what action it is about to take, the reason by which is came about that action, and the trajectory." Alpamayo introduces Vision-Language-Action (VLA) models, which enable self-driving systems to interpret what they see, reason about complex driving scenarios, and generate driving actions. The platform includes large reasoning models, simulation tools for testing rare and edge-case scenarios, and open datasets for training and validation. NVIDIA says the approach improves transparency, safety, and robustness in autonomous systems, particularly in complex real-world environments, and supports progress toward higher levels of vehicle autonomy: "With a 10-billion-parameter architecture, Alpamayo 1 uses video input to generate trajectories alongside reasoning traces, showing the logic behind each decision. Developers can adapt Alpamayo 1 into smaller runtime models for vehicle development, or use it as a foundation for AV development tools such as reasoning-based evaluators and auto-labeling systems. Alpamayo 1 provides open model weights and open-source inferencing scripts. Future models in the family will feature larger parameter counts, more detailed reasoning capabilities, more input and output flexibility, and options for commercial usage."

Sawyer Merritt

1,604,241 Aufrufe • vor 7 Monaten

Step into the map with the Street View grounding feature in Project Genie from Google DeepMind and Google Labs. Announced at I/O, this research prototype uses locations from Google Maps Street View as a foundation, letting you generate and explore interactive, 360-degree virtual environments from just a text prompt or real-world starting place. Cool, right? But… How does it actually work? 🤔 As an experimental tool, Project Genie tackles the "blank space" problem (showing both what’s in front of the camera and behind it) by utilizing Street View data to realistically generate a 360-degree view of the location you selected as the starting point for your world to generate from. Worlds generated by Genie are far more dynamic and rich because they’re created frame-by-frame based on the world description and user actions. By predicting each subsequent frame, Genie is able to simulate what it looks like to swim across an ocean, or hike to the top of a peak, marking a massive shift in interactive media and simulation pipelines. What real-world place would you want to step into and explore?
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Step into the map with the Street View grounding feature in Project Genie from Google DeepMind and Google Labs. Announced at I/O, this research prototype uses locations from Google Maps Street View as a foundation, letting you generate and explore interactive, 360-degree virtual environments from just a text prompt or real-world starting place. Cool, right? But… How does it actually work? 🤔 As an experimental tool, Project Genie tackles the "blank space" problem (showing both what’s in front of the camera and behind it) by utilizing Street View data to realistically generate a 360-degree view of the location you selected as the starting point for your world to generate from. Worlds generated by Genie are far more dynamic and rich because they’re created frame-by-frame based on the world description and user actions. By predicting each subsequent frame, Genie is able to simulate what it looks like to swim across an ocean, or hike to the top of a peak, marking a massive shift in interactive media and simulation pipelines. What real-world place would you want to step into and explore?

Google AI

4,040,185 Aufrufe • vor 1 Monat