@KVN_03 the truly effective treatments like nasomaxillary expansion or MMA surgery (which basically cured me) involve breaking apart the skull and would render the patient unable to compete in contact sports. if you mostly have tongue base collapse could look into exciteOSA.
Newest teammate at @PathOn_Robotics : a Booster K1 from @BoosterRobotics. 95cm, humanoid, fresh out of the box.
Next up: 3D lidar on top, our nav stack underneath, and a humanoid-waitress demo — greet → reservation lookup → guide to table → return.
Hyper capital-efficient build mode, now with two legs. 🤖🛠️ @ErenChenAI@BoosterTroubler
Building dexterous manipulation, one thing kept frustrating me: no good eval benchmark in sim.
Most papers report numbers on a floating hand — pose the fingers, close, check if the object stays. That tells you the model can wrap an object. It doesn't tell you whether the grasp survives a real arm reaching in, gravity turning on, or the object resting on a surface instead of welded to an anchor.
So at PathOn Robotics, we built one. A MuJoCo benchmark that sweeps:
🔹 hands — Allegro + Barrett today; ShadowHand, DH-3, Inspire next; plus our own in-house design (prototyping)
🔹 objects — YCB, ContactDB
🔹 physics — floating → arm-in-the-loop → object on a pedestal under real gravity
Swap any axis with a single config entry.
The video: Allegro + YCB orange and Barrett + ContactDB apple, same Agilex Piper arm, same stack.
More coming soon 👇
#Robotics#DexterousManipulation#Grasping#MuJoCo#PathOnRobotics
Time to bring @PathOn_Robotics to humanoids. 🚶♂️🤖
(The video below is from my scouting at the IROS 2025 booth in Hangzhou—so many platforms, so much potential.)
Sticking to our hyper capital-efficient roots: I’m looking to purchase a high-ROI humanoid dev platform for under $8k to test our full-stack OS.
Currently evaluating:
1️⃣ Unitree R1 @UnitreeRobotics
2️⃣ Booster Robotics K1 @boosterobotics
3️⃣ Fully open-source builds (e.g., RoboParty) @RoboParty_DEV
Robotics Twitter: What is the best sub-$8k humanoid platform right now? Are there any hidden gems or major red flags I'm missing with these three?
Drop your suggestions below 👇
Testing our custom navigation stack right out of the basement. 🤖🐕🗺️
Turns out you don't need a multi-million dollar corporate robotics lab to test edge cases. A basement and a retaining wall work just fine.
Hyper capital-efficient engineering. We keep shipping. 🛠️🤖
Generative robotics needs an integration layer — this is my robot-assets-skills. 🤖🛠️
AI makes 3D design much faster now. Industrial-grade arms run real algorithms. The combo is the unlock — but mounting the two is the slow, boring part everyone hates.
It's a Claude Code bundle for robot URDF/MJCF integration. The flagship skill — attach-end-effector — mounts any hand/gripper on any arm in MuJoCo with zero errors. Extensively tested on Piper, SO-101 6DoF (ours), Elephant Robotics arms — paired with Allegro, Barrett, and our Symmetric Gripper.
Bought a Unitree Go2. It doesn't ship with 3D LiDAR.
Designed a bracket. Printed it in the basement. Mounted a Livox MID-360 on top. Same bracket we use in our internal stack.
What sensor should I add next? 🤖🛠️
For anyone wanting to repro — open-sourced the mount: STL, hardware list, install notes 👇
Using ROS2 directly on macOS can be challenging due to compatibility issues and limited native support. I am planning to release a bunch of scripts to make it easier. Is anyone interested?
I just sold some Feetech servos to a research lab since they burned follower arm gripper servo as well. It's so important to add hardware and software guardrails to open source robots to prevent hardware damage.
🤖 Upgraded the SO-101 to mobile SO-101 (Lekiwi) recently. As someone with no experience in Raspberry Pi, there's definitely a learning curve to get teleoperation working properly.
The Lekiwi is indeed harder to assemble than the original SO-101, but I actually think it's a better setup overall. When we don't move the base around, it functions just like the SO-101, except the two cameras are mounted at fixed positions which works really well.
Bottom line: it's just harder to get started, but worth it once you're up and running.
#Robotics#RaspberryPi#SO101#Lekiwi
🤖 Expensive Lessons in Robotics: When a $20 Servo Teaches You About Safety Checks
I unfortunately burnt the gripper servo of my so-arm100 follower arm last weekend because I recalibrated my leader arm and then went straight ahead with teleoperation. A $20 lesson since I need to buy a new servo!
But here's the thing about failures in robotics – they force you to add proper safety checks.
Instead of just replacing the part, I took the time to:
✅ Build a new follower arm from scratch
✅ Write comprehensive testing scripts for calibration
✅ Add crucial safety checks before running teleoperation
✅ Create real-time positioning controls for the leader arm
The result? A system that safely moves to zero position and resets to rest position with proper validation at each step – no more burnt servos!
script: github.com/PathOn-AI/awes…
🎉 Exciting News! We're thrilled to announce that our paper "Visual Tree Search of Web Agent" has been accepted to ECML-PKDD 2025, one of the premier European conferences in machine learning and data science!
This breakthrough work comes from our talented PathOnAI.org community members, with another web agent paper in the pipeline.
What is VisualTreeSearch?It's a fully-deployed system that makes web agent decision-making transparent and interpretable. For the first time, researchers and practitioners can observe how AI agents navigate and make decisions on the web in real-time.
Key innovations include:
⚡ Ultra-fast API-based state reset (50s → 2s)
☁️ Scalable cloud infrastructure with WebSocket + ECS
🌳 Interactive tree visualization with live browser execution
🧠 Support for advanced algorithms including LATS (Language Agent Tree Search)
This open-source system bridges the critical gap between research and real-world deployment, providing essential infrastructure for debugging web agents, analyzing search strategies, and prototyping new planning algorithms.
Explore the project:
🔗 Project details: pathonai.org/projects/visua…
🎮 Live demo: visual-tree-search.pathonai.org💻 GitHub: github.com/PathOnAIOrg/Vi…#MachineLearning#AI#WebAgents#OpenSource#Research#ECMLPKDD2025
🤖 Excited to share my latest open-source project: a voice-controlled agentic robot, right before @huggingface@LeRobotHF Hackathon!
I've released the complete codebase for a system that seamlessly bridges natural language and robotic action:
🎙️ Deepgram ASR converts voice commands to text
🧠 OpenAI function calling translates text into precise robot instructions
⚡ Fine-tuned Pi0 model executes tasks via remote inference server
This demo showcases the potential of multimodal AI systems where voice becomes the primary interface for robotic control.
Check out the full implementation: github.com/PathOn-AI/awes…#AI#Robotics#OpenSource#VoiceAI#LeRobot
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