Benji Barash
@BBarash
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Robotics, data and AI at @roboto_ai. Previously @amazon @allen_ai
Seattle, WA
Joined July 2008
I showed tools we're building at @roboto_ai to help: 1️⃣ Signal similarity search for pattern detection 2️⃣ Vision-language models for event annotation 3️⃣ AI summarization for faster triage And a sneak peek of an AI agent that debugs robot logs on its own 🤖 @OpenRoboticsOrg
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Our team is in Singapore 🇸🇬 this week for #ROSCon2025 — come say hi at Booth 19/20 for stickers and our famous socks. Our CEO, @BBarash, will present in the main conference tomorrow at 4.30pm: “Detecting Complex Events in ROS Data” 👀👀
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Live from #ROSCon in Singapore 🇸🇬! John Hubberts on our team gave an awesome workshop on how to automate #ROS bag analysis with Roboto. The room was packed! #ROSCon2025
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Catch us at #RoboBusiness this week at booth 816. Our founder @BBarash will also be diving into the two data problems of #robotics and how new data curation techniques can help solve them. #data #PhysicalAI @NVIDIARobotics
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Last night, @Unusual_VC and @roboto_ai hosted a thought leadership dinner on “Scaling Reliability in High-Stakes Robotics.” Leaders @Waymo, @amazon & more joined to tackle challenges like scaling fleets, foundation models, and data flywheels. Excited to keep the convo going! 🤖
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We've had an overwhelming response to our Robotics Happy Hour for @Techweek_ today at 4 PM, with almost 400 requests to attend. We're bringing together a curated mix of top startups and investors shaping the future of robotics and AI. Our guest list includes engineers and
partiful.com
Join a curated group of robotics founders, engineers and investors in South Park. We'll start with a panel to discuss the current landscape of opportunities in robotics and have time for open...
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A few pics from last week! Super fun to catch up with friends and meet a ton of robotics companies. We had an #ANYmal robot at our booth thanks to the amazing folks at @anybotics 🤩
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Can AI help debug a drone crash? 🤔✈️ Like all robots, drones generate massive amounts of multimodal log data every mission. These logs are essential for diagnosing issues, but reviewing them is complex and time-consuming....🧵
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Huge news for our friends at @allen_ai developing truly open source models, including for robotics! Roboto got started in their incubator program.
With fresh support of $75M from @NSF and $77M from @NVIDIA, we’re set to scale our open model ecosystem, bolster the infrastructure behind it, and fast‑track reproducible AI research to unlock the next wave of scientific discovery. 💡
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better data infrastructure. The companies building this foundational layer are the hidden titans of the industry. They are turning the data chaos into a competitive advantage. The teams that master their data will win. The rest will be left debugging.
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This isn't just about better tools. It's about velocity. The teams that master their data can iterate, debug, and deploy updates in hours, not weeks. They can build smarter, safer AI because they can actually learn from their mistakes at scale. The future of robotics isn't
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"Show me every time the robot failed to grasp an object in the last 3 months." Hours of searching → seconds of querying. The third breakthrough:
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Making data searchable. Imagine trying to find a 5-second clip in a year's worth of security footage with no search bar. That was robotics. Platforms like Roboto AI are now indexing petabytes of log data, allowing engineers to ask questions like:
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Startups are building the modern infrastructure that lets engineers move from data janitors to robot builders. Some players to watch: @Foxglove, @rerun_io, @Roboto_AI, and more. (Please tag them) The first breakthrough… Making data observable:
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Every robot you see is a data firehose generating terabytes of chaos. This hidden crisis is the #1 reason robots fail, and it's costing the industry billions. You see hardware, but not the data swamp drowning engineers. In 2025, a quiet revolution is fixing it. Here’s how. 🧵
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Managing & analysing robotics data is a paaaaaiiinnnn. Have a look at this tool: [📍Bookmark GitHub python skd for later] Analyzing robotics data at scale is still a major challenge. Most teams start with manual log reviews. But as systems grow, that approach becomes slow and
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🎙️ I sit down with @BBarash, CEO of @roboto_ai, to talk Amazon, robotics, and why knowing what to do with your data is key to scaling: Benji spent years at Amazon working on drone delivery, but started to see a growing problem in robotics, the data was piling up faster than
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🎙️ Our founder, @BBarash, joined an @NYSE panel on the Future of Robotics Software hosted by @dvellante from #theCUBE In this clip, Brian Gerkey (@IntrinsicAI) — who pioneered #ROS at @OpenRoboticsOrg — and @BBarash discuss how robotics software is trending back toward
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The @LeRobotHF hackathon in #Seattle is well underway! Blue skies and robots… what could be better? 🤖🦾#lerobotworldwidehackathon
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