Brandon Ong

393 posts

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Brandon Ong

Brandon Ong

@bdono_

building @hbr_pbc (YC S26); prev Robotics PhD @Columbia @NTUsg @join_ef

San Francisco, CA Katılım Mayıs 2018
468 Takip Edilen718 Takipçiler
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Brandon Ong
Brandon Ong@bdono_·
To understand what it takes to build a humanoid robot with model-based control, we finetuned @physical_int 's (PI) Pi05 model for our custom use case and environment. We incurred ~$10K in hardware costs, compared to the typical ~$20K set up (DROID/ALOHA). Here are the lessons and challenges we faced building the first working prototype (shown in the video) in 3 months. Part 1: Hardware, Software, Model Selection, Custom Embodiment, Inference, Embedded Hardware, Hierarchical Planner Part 2: Model Evaluation, Data Collection, Model Training, Simulation and Teleoperation We hope sharing our experience accelerates the learning of others who are in a similar starting point.
Brandon Ong@bdono_

x.com/i/article/2018…

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Brandon Ong
Brandon Ong@bdono_·
@hbr_pbc, @kstonekuan and I will be at SIGGRAPH next week. Who else has strong opinions on why robotics needs better data? The bottleneck to better intelligence is high-quality, consistent data. Let’s chat.
Lightwheel@LightwheelAI

What a night! We teamed up with @danfei_xu to host the EgoVerse party at RSS 2026, and it was everything we hoped for. Great people, great conversations, and a room full of folks who are just as obsessed with Physical AI as we are. Thank you to everyone who came out and made it such a special evening. This community is what makes this work so fun. See you all next week at @siggraph 2026! #RSS2026 #PhysicalAI #Robotics

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Brandon Ong
Brandon Ong@bdono_·
Pareto builds on great contributions from the community: - @huggingface's LeRobot dataset visualizer - @pepijn2233's Unfolding Robotics dataset - @xdofai's new ABC dataset (full dataset ingestion in progress) - @Stanford's BEHAVIOR-1K 2026 dataset (up next) We hope the quality-indexing layer we're contributing proves just as useful to the community.
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Brandon Ong
Brandon Ong@bdono_·
Teams training AI models for robotics today are throwing away 80% of the data they collect when curating "high quality" datasets. It is not only a painfully manual process; "high quality" is also hard to define, so most teams fall back on hand-crafted heuristics. We built Pareto to help teams find their best training samples and run automated data consistency algorithms on them. Our goal is to analyze and develop robotics datasets with the same rigor researchers bring to models. @kstonekuan @hbr_pbc
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Lucy Cai
Lucy Cai@lucyjcai·
We’re excited to launch Instance – a success detector for robot rollouts! Describe your task and drop in a dataset, and it judges success/fail on each rollout with detailed subtask captions– it’s more accurate than Claude Opus 4.8, at a fraction of the latency. This is just the first step toward our larger goal: an autonomous evaluation rig for robot learning. Today, evaluating a robot policy means humans have to watch the robot roll out, mark success, and reset the scene– we're automating that, starting with the success judge.
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Sylvia Li
Sylvia Li@Sylviaposts·
Started an invite-only robotics working group bringing together professors, research leads, and founders behind some seriously scaled companies. The conversations are focused on real-world data, teleoperation, VLA post-training, cross-embodiment transfer, evaluation, and deployment. We’re incubating a set of technical notes from the discussions and keeping the room intentionally selective. DM me if you’re actively building in robotics.
Sylvia Li tweet media
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Brandon Ong
Brandon Ong@bdono_·
If you’re looking for XC330-T288-T servos to build active GELLOs, we recently bought some extras. And can let them go at cost (as long as you're using them ;p) Couldn’t wait for the usual 10 week lead time, or bear to pay the almost 2x markup. We hunted down the OEM instead (super fun) and had a feeling others might need them too. We’ll be pooling orders for parts going forward.
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kingston kuan
kingston kuan@kstonekuan·
do you ever wonder if the side table you got from fb marketplace is made in the same factory as data center racks?
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Brandon Ong
Brandon Ong@bdono_·
We’re joining the S26 batch at @ycombinator! @kstonekuan and I started @hbr_pbc to develop humanlike robots that work alongside expert field teams to build, maintain, and repair the future infrastructure humanity will increasingly depend on. YC will help us accelerate toward achieving that mission. Thanks @sdianahu for taking a chance on us. There is still much to build, learn, and prove, but we’re excited for what’s next. We’re grateful to be working with partners who share our mission to develop robots that extend what humanity can do, for the benefit of the communities they serve.
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kingston kuan
kingston kuan@kstonekuan·
Hebbian Robotics has joined @ycombinator's S26 batch! @bdono_ and I started @hbr_pbc because we believe the next generation of infrastructure will be built and maintained in places that are increasingly difficult for people to access safely and consistently: remote sites, subsea environments, orbit, and other demanding field conditions. Our goal is to build human-like robots that can work alongside expert field teams to help construct, inspect, maintain, and repair the systems that communities and industries rely on. YC will help us accelerate as we continue building toward that mission. Thanks @sdianahu for taking a chance on us! We are grateful to the early believers who supported us when there was not much to show beyond conviction, early prototypes, and a lot of work ahead. Your trust, feedback, and encouragement have meant a lot. There is still plenty to build, learn, and prove, but we are excited for what is ahead. We are grateful to be working with partners who share our mission in developing robotics to extend what humanity can do for the benefit of the communities they serve.
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kingston kuan
kingston kuan@kstonekuan·
We’re open sourcing the agent skills we built to plan this demo. Datacenter robotics tasks are full of hidden constraints: rack geometry, cable density, live equipment, etc. These skills are an attempt to make those constraints explicit so AI agents can reason about them more reliably when producing robot task plans.
Brandon Ong@bdono_

The scarce thing in a data center is not manpower, but instinct that only comes from years on the floor. @kstonekuan and I spent the past month with data center operators and industrial robotics startups. Most robotics companies are focused on robots as a productivity amplifiers: 24/7 uptime, five days of work done in two. Few are focused on the potential of robots to change how people work altogether. We want to show what it looks like to rethink human-robot collaboration, using AI so a shrinking pool of experts can meet the increasing demands of future infrastructure.

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Brandon Ong
Brandon Ong@bdono_·
hey @sama, we'd love to walk the floors of OpenAI's GW data centers and see if our robots can address the bottlenecks behind compute delays. just emailed you more details on what we're working on at @hebbyrobotics for YC S26
Brandon Ong@bdono_

The scarce thing in a data center is not manpower, but instinct that only comes from years on the floor. @kstonekuan and I spent the past month with data center operators and industrial robotics startups. Most robotics companies are focused on robots as a productivity amplifiers: 24/7 uptime, five days of work done in two. Few are focused on the potential of robots to change how people work altogether. We want to show what it looks like to rethink human-robot collaboration, using AI so a shrinking pool of experts can meet the increasing demands of future infrastructure.

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Keşfet

@hbr_pbc @kstonekuan @sdianahu @FrancoisChauba1 @lasermatts @huggingface @pepijn2233 @xdofai