Bedrock Robotics

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Bedrock Robotics

Bedrock Robotics

@BedrockRobotics

Advanced autonomy for the built world.

Katılım Nisan 2024
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Bedrock Robotics
Bedrock Robotics@BedrockRobotics·
The future of construction is being built in Texas. @ChampSitePrep is betting on autonomous equipment to help their team meet demand for AI infrastructure and advanced manufacturing hubs. “The speed and scale of what's coming into this region is unlike anything we've seen before, and these projects don't wait… What Bedrock is building will multiply what our crews are capable of.” Here’s why more contractors are working with Bedrock to bring autonomy to their job sites:
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Bedrock Robotics
Bedrock Robotics@BedrockRobotics·
@kevinmpeterson1, our co-founder and CTO, will speak at @autonomousevent. At @Waymo, Kevin spent years on autonomous trucking. The question he kept coming back to was what's next after the highway. His answer: the construction jobsite. Unstructured, unpredictable, and running on equipment that hasn't changed much in decades. That's the problem Bedrock is built around. We're retrofitting existing machines, starting with excavators, into equipment that will multiply what a jobsite's crew can accomplish. Join him in San Francisco on July 16th.
AUTONOMOUS - July 16th@autonomousevent

Who's coming to #AUTONOMOUS? Our 50 curated speakers helping shape the future of robotics & physical AI 👇 1. Paul Mikesell @carbon_robotics 2. Sankaet Pathak @foundation_robo 3. James Kuffner @SymboticTweet 4. John Ha @bearrobotics 5. Tessa Lau @DustyRobotics 6. AJ Meyer @pickle_robot 7. Bilal Zuberi @redglassvc 8. Xiaodi Hou @BotAutoAV 9. Peter Wilczynski @vantortech 10. Shubham Shrivastava @KodiakRobotics 11. Juraj Kabzan @SkydioHQ 12. Vibhor Sood @burro_ai 13. Ziv Binyamini @ForetellixHQ 14. Tim Bucher @Agtonomy 15. David Lin Abundance 16. Adarsh Kulkarni @FoundryRobotics 17. Danny Bernstein @reservoirfarms 18. Aadeel Akhtar @PSYONICinc 19. Lukas Pankau Industrial Next 20. Kevin Peterson @BedrockRobotics 21. Rajesh Radhakrishnan @ServeRobotics 22. Ed Mehr @MachinaLabs_ 23. Kevin A. Damoa @GlidTech 24. Amos Miller @Glidance_io 25. Chris Chen @FaradayFuture 26. Samir Menon @DexterityInc 27. James Hardiman @DCVC 28. Tyler Niday @bonsairobotics 29. Grace Brown Andromeda 30. Peter Vaughan Schmidt @torc_robotics 31. Andrew Culhane @torc_robotics 32. Jari Safi @simberobotics 33. Leonardo Carvalho @solinftec 34. Kanu Gulati @khoslaventures 35. Noah Ready-Campbell @BuiltRobotics 36. Jamie Shotton @wayve_ai 37. Reed Ginsberg @ShinkeiSystems 38. Akash Gupta @GoGreyOrange 39. Brett McMickell Kubota USA 40. Andrew Wooten @RhodaAI 41. AIIvan Poupyrev @PhysicalAI 42. Sammy Sidhu @daftengine 43. Shayegan Omidshafiei @fieldai_ 44. Deepak Pathak @SkildAI 45. Rocket Drew @theinformation 46. Rya Jetha @BusinessInsider 47. Rishabh Aggarwal @Raise_Robotics 48.Harry McCracken @FastCompany 49. Russ Tedrake Toyota Research Institute 50. Kishor Veerashekar Plug & Play Ventures

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Bedrock Robotics
Bedrock Robotics@BedrockRobotics·
@kevinmpeterson1 joined the @awscloud Physical AI live stream and talked about why construction is the right place to bring autonomy next. Construction and mining together represent roughly 20% of world GDP. That number reframes the problem. Even a modest acceleration in how this work gets done could have an outsized impact on the global economy, on how fast we build power infrastructure, how quickly data centers come online, how reliably we can meet the demand in front of us.
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Bedrock Robotics
Bedrock Robotics@BedrockRobotics·
Bedrock Robotics has been named a finalist for @builtworlds' Contractor's Choice Awards, recognized as one of two Top Solutions in the Autonomous Equipment category. The recognition comes from BuiltWorlds' Equipment & Robotics Benchmarking survey, which draws on feedback from contractors working in the field every day. Being named alongside them reflects the trust our partners have placed in us as we work together to develop and validate autonomous systems for heavy equipment. Bedrock's mission is to multiply what skilled operators and crews can do on a job site, not diminish their role in it. This nomination is an early signal that the industry sees the same potential we do. Thank you to our partners who made this possible, and to the broader team building toward what's next.
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Kevin Peterson
Kevin Peterson@kevinmpeterson1·
Starting to get to very long duration runs at human productivity levels with our generalist excavation policy, so thought it would be fun to compare to @Figure_robot's epic multi-day run. Video at 10x because scooping one bucket takes about 10x as long as flipping a package. Ran until we ran out of dirt - full video is hours long. Autonomous, safe, smart, building the buildings we all need.
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Bedrock Robotics
Bedrock Robotics@BedrockRobotics·
Autonomous excavation is a genuinely hard problem to solve because these machines can't just follow scripts. We're building a system that takes in a target end-state (the intended shape of a trench, a graded surface, a loaded truck) and continuously plans a path toward it. The model replans roughly every half second, using the freshest sensor data available. That cadence matters because the environment is always changing, a dump truck shifts position, material behaves differently than expected, or the machine pauses to let a person pass by. Getting the balance right is part of what we're solving for. Our system is designed to be responsive without being reactive: making confident, deliberate moves while staying ready to adapt. If this is the kind of problem you want to spend your time on, we'd love to hear from you.
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Bedrock Robotics
Bedrock Robotics@BedrockRobotics·
@kevinmpeterson1 joined the @awscloud Physical AI live stream and walked through how Bedrock's autonomy stack works. Most autonomous systems rely on a state machine, a mathematical set of rules that tells the machine what to do in every situation. Ours doesn't, we run an end-to-end diffusion model trained on real construction data, and the behaviors emerge from that. The machine doesn't follow a script, the subtle differences in how it moves across different conditions are all learned. It's an approach that will let us scale in ways that rule-based systems can't. The more data we collect from the field, the more capable the system becomes. Watch the full AWS Physical AI live stream down below.
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Kevin Peterson
Kevin Peterson@kevinmpeterson1·
Enjoyed chatting with @gracegongGG about starting a company, what the future looks like with robotics and AI, and some fun stories about getting @BedrockRobotics going! Thanks for having me on!
Grace Gong@gracegongGG

@kevinmpeterson1 — CTO of @BedrockRobotics — on Venture with Grace, sharing a lesson every founder should remember: start with the customer. When building Bedrock Robotics, Kevin and his team spent time talking directly with customers to understand their biggest challenges. The answer wasn't complicated—it was productivity. Across construction sites, finding and retaining skilled operators for excavators, bulldozers, and other heavy equipment has become increasingly difficult. That labor shortage creates a significant opportunity for technology that helps crews accomplish more with the resources they have. His key point: great companies aren't built around technology first—they're built around solving urgent customer problems. Episode is live now — a fascinating conversation on construction, robotics, and identifying real-world opportunities. Link in bio. #Construction #Entrepreneurship #StartupStory #Productivity #SkilledLabor

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Grace Gong
Grace Gong@gracegongGG·
Listen to my conversation with @kevinmpeterson1 of @BedrockRobotics on Spotify: bit.ly/3v1R0Tu Apple: bit.ly/4bTCwpD Youtube: bit.ly/3uXthnv LinkedIn: bit.ly/3Xs8GQP Website: svppro.com ~~~~~~~~~~~~~ This episode is brought to you by Nebius — the ultimate cloud for AI innovators. Nebius provides AI infrastructure you can count on, combining reliability and speed with flexibility and engineering support unmatched by hyperscalers. AI leaders like Meta, Shopify, and Higgsfield already partner with Nebius to run their AI workloads. Plus, venture-backed startups can save up to $150,000 on compute costs when they apply for access. Visit nebius.com or nebius.com/startups to learn more ~~~~~~~~~~~~~ #Autonomy #EmbodiedAI #SelfDrivingCars #SpaceTech #DeepTech
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AUTONOMOUS - July 16th
AUTONOMOUS - July 16th@autonomousevent·
We're delighted to have Co-founder and CTO @kevinmpeterson1 join us at AUTONOMOUS. @BedrockRobotics's platform retrofits excavators, dozers, and loaders with sensors, compute, and autonomy software, so existing equipment runs around the clock. → Founded Marble Robot, acquired by @CaterpillarInc in 2020, then led perception for @Waymo Via → Builds Bedrock's autonomy stack alongside a founding team drawn largely from Waymo's self-driving program → Roughly $350M raised, including a $270M Series B in February 2026 at around a $1.75B valuation, with a 130-acre supervised deployment Join Kevin, 50 curated speakers and 500 attendees in San Francisco, July 16th for our premier event. For announced speakers, check our highlights.
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Bedrock Robotics
Bedrock Robotics@BedrockRobotics·
Most ML problems today look roughly like this: large amounts of labeled data, known benchmarks, incremental improvements over well-defined baselines. The infrastructure is mature and the playbook is mostly written. At Bedrock, we're building a system that learns to operate heavy construction equipment in unstructured, unpredictable real-world environments. The training data comes from machines deployed on active job sites across the country. The feedback loop runs through physical hardware, and the failure modes are genuinely novel, which means the solutions have to be too. We're hiring engineers who want to work at the intersection of infrastructure and autonomy.
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Bedrock Robotics
Bedrock Robotics@BedrockRobotics·
@bsofman joined Alexa von Tobel on the @InspiredCap podcast to talk about what it takes to make heavy equipment autonomous on a live job site. Listen now to hear them discuss how the labor shortage is driving urgency in construction, why vertical-specific autonomy is the near-term path forward, and what driverless vehicles tell us about where the physical world is headed next.
Inspired Capital@InspiredCap

What will our cities look like in a world of fully autonomous vehicles? After sitting down with @bsofman — one of the leaders behind autonomous trucking at Waymo — we got to imagine a very different future for cities, transportation, and the physical world. On this episode of Inspired, @alexavontobel is joined by Boris Sofman, co-founder and CEO of @BedrockRobotics, the company turning construction's most complex heavy equipment into fully autonomous machines. Bedrock is tackling one of the most urgent problems in the physical world: an industry facing record demand, a shortage of more than 500,000 workers, and no time to wait. In this conversation, they talk about what it actually takes to make heavy machinery driverless on an active job site, his predictions for autonomous vehicles in our cities, why he's skeptical about humanoids, and why physical AI may be the defining technology of the next decade. Listen to the full episode: Apple: bit.ly/4e2H1jx Spotify: bit.ly/43RlyFf Youtube: bit.ly/4uMvoUJ

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Eclipse
Eclipse@EclipseVentures·
What happens when world-class autonomy founders partner with deep industrial expertise before a company is even formed? @BedrockRobotics. From market exploration to company formation, Eclipse helped shape the path from concept to category leader in construction autonomy. Read more: bit.ly/4fptjtb
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Bedrock Robotics
Bedrock Robotics@BedrockRobotics·
The construction industry's labor gap shrank in 2026: down to 349,000 net new workers needed, from 439,000 last year. That might sound like progress but the same report projects the gap climbing back to 456,000 in 2027. The underlying forces haven't changed: an aging workforce, retirements outpacing new entrants, and demand for new infrastructure continuing to grow. The numbers fluctuate, but the structural problem doesn't. We’re building to change that equation by giving skilled crews the tools to multiply what they can accomplish on every site.
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Kevin Peterson
Kevin Peterson@kevinmpeterson1·
We're working on our learned control stack and did an AB comparison. Here's a quick video comparing classical to learned. Very cool results. On the right (classic, well tuned), you can see a lot of bounce, more faults, and a lack of coordination across axes. On the left (learned), coordination is better, and the motion is much smoother. Upstream model is same e2e in both cases. Really cool to see how learning beats traditional controls/tuning IRL. We're gearing up to be on many many different sizes and types of vehicles, so learning has scale advantages there as well.
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Kevin Peterson
Kevin Peterson@kevinmpeterson1·
Construction is wild and fascinating. Here's an example from one of our sites where the excavators are building "mats". They use logs from the site to float on top of the muddy ground, inch-worming a makeshift road as they go. Excavation is manipulation!
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Grace Gong
Grace Gong@gracegongGG·
AI is starting to change how CEOs actually run companies — not just how they build products. From The Billion-Dollar Blueprint: Patterns Behind the Fastest-Scaling AI Companies, when Grace Gong asked how founders structure their day and what’s top of mind, @bsofman, Co-Founder and CEO of @BedrockRobotics, pointed to something practical: AI has become a real-time product accelerator inside the company. In their case, they use foundation models to process massive amounts of field data. The shift is that decisions that used to rely on intuition and long engineering cycles can now be quantified and updated continuously through AI-driven analysis — sometimes within hours. What do you think — are AI tools changing decision-making faster than org structures can keep up? Follow the Smart AI Summit page for more from the event. #AIAgents #EnterpriseAI #Startups #AI #Product
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