Differentiable Simulation Enables Real‑World Quadruped Locomotion
Can differentiable simulation actually work for real robot locomotion? This work answers that with a rare yes❗️ The core problem has always been contact. Soft contact models give smooth gradients but break realism. Hard contact models are realistic but kill optimization due to discontinuities. This paper proposes an analytically smooth contact formulation that keeps both. • A quadruped locomotion policy trained entirely in a differentiable simulator • Zero-shot transfer to real hardware • More than 10× better sample efficiency compared to PPO Differentiable simulation has promised better robot learning for years, but locomotion was the hard wall. This is, to my knowledge, the first real sim-to-real legged locomotion result trained purely with analytic gradients. If this scales, it could change how we train robots that rely on contact, not just legs, but manipulation too. Learning Deployable Locomotion Control via Differentiable Simulation: 📍Paper: https://lnkd.in/dkW8qUjm Credit: ETH Zurich, NVIDIA, RAI Institute, Georgia Tech —— Weekly robotics and AI insights. Subscribe free: scalingdeep.tech
Robots Now Autonomously Inspect Hazardous Tight Spaces
This simulation shows what a mobile inspection robot can actually do inside a tight industrial cabinet room. In the demo, Aru performs a full inspection workflow in a constrained space. Robots like Aru are becoming practical tools for inspections in...
1 Ms
Triple inverted pendulum in transition control A classic control problem, done in real time. This setup moves smoothly between all eight equilibrium points of a triple inverted pendulum. The system reacts every 1 millisecond, which shows how fast modern control...
DIY $600 Haptic Glove Enables Real Robot Teleoperation
A high-quality haptic control for robots as a weekend project? All for under $600. [📍 Save Github & arXiv for later] A team built DOGlove, an open-source haptic glove for robot teleoperation that you can assemble yourself for under $600....
Cooperating Drones Lay Bricks, Reducing Construction Risk
What if your bricklayer could fly? Researchers at Imperial College London tested a new way to build using cooperating drones instead of cranes or scaffolding. Two drones work together. One lays down foam and lightweight cement. The other checks accuracy...
Simple Transfer Plate Enables 2D Motion Without Robots
Simple transfer plate that moves in… two directions. This kind of mechanism can enable flexible 2D movement for boxes or parts without complex robotics. Simple mechanical design. Can move items both X and Y. Easier than full mobile robots in...
Real‑time High‑Resolution Touch Empowers Robot Teleoperation
Humans usually guess what robots feel. This system actually lets you feel it. This is an end-to-end high resolution touch teleoperation demo built with Samsung. Real tactile signals from a robot hand were streamed directly into a human fingertip display...
GRPO Shows Robots Need Comparative Learning, Not More Rules
Robots don’t need more rules. They need better ways to learn: RL with synthetic data. Group Relative Policy Optimization, or GRPO, is not just another RL trick. It points to a different learning philosophy. Instead of giving a robot one...
Master Linear Algebra for Vision, Robotics, and AI
Linear Algebra for Computer Vision, Robotics, and Machine Learning https://lnkd.in/d-qgheRn Credit: University of Pennsylvania —- Weekly robotics and AI insights. Subscribe free: scalingdeep.tech
Precision, Not Speed, Solves Robots' Last Millimeter Gap
Most robots fail at the last millimeter. That’s where precision, not power, decides everything. I’ve seen production lines where operators still guide fragile parts by hand because robots couldn’t hold the tolerance. This system aims to close that gap. It...
Curiosity, Grit, and Simulation Drive Future Robotics
🎙️ I talk with Animesh Garg , Assistant Professor at Georgia Tech and one of the leading voices in robot learning today: We talk about growing up in India, building his first autonomous vehicle on a $280 budget after being...
Simulate Multi‑Robot Sync to Eliminate Integration Errors
Synchronized robots, tested in 3D, to boost uptime and cut integration errors: This setup uses RobotStudio to simulate dual-robot coordination with precise axis timing and collision checks. Every move is validated in a digital twin before going live. - Full...
Real-Time Robot Catches Flying Ball in One Second
Can. You. Catch. It❓ A robot that catches balls in mid-air. [📍 Bookmark for the GitHub] This team built FrankaBallCatcher, a 7-DoF Franka Emika Panda arm that tracks a flying ball and intercepts it in real time using computer vision....
Robots Learn From YouTube, Scaling Like Language Models
You know how ChatGPT got scary-good by reading the entire internet? Robotics couldn’t do that. With language models, you can scrape Wikipedia, Reddit, every book ever written. Trillions of words. All digital. All ready to train on. But robots? They...
UC Berkeley Robotics Course: RL Foundations & Applications
Advanced Robotics: UC Berkeley This is course is from Peter Abbeel and covers a review on reinforcement learning and continues to applications in robotics. If you work on robotics… this one is worth bookmarking‼️ MDPs: Exact Methods Discretization of Continuous...
Robots Plan Tasks by Imagining Future Video Sequences
Robots that plan by imagining the future. Large Video Planner (LVP-14B) from MIT is a robot foundation model built on video generation instead of vision-language-action. Instead of predicting actions directly, it generates a short video of how a human hand...
Flapping‑Wing Drone Uses Gyro Sensors to Tame Vibration
A flapping-wing drone that actually handles its own vibrations. BionicBird’s X-Fly is not a propeller drone. It is an ornithopter with a six-axis gyro and precision G-sensors designed specifically to deal with the chaotic dynamics of wing flapping. • Sensor...
Drone Production Hits Automotive-Scale Standardization, Faces Complexity Limit
Modern drone production. An assembly line in China shows how far drone manufacturing has been industrialized. Conveyor systems move the airframes between stations. Each worker performs a narrowly defined step, closer to poka-yoke than to classic workshop assembly. • Highly...
Robotics' Real Bottleneck: Infinite Real World, Not Models
If you think Physical AI is “just train a policy and ship it,” you’re about to waste months. If you work on robotics, this one is worth bookmarking‼️ The bottleneck is not the robot. It’s the world. Again: you do...
From Theory to Factory: Europe’s AI Industrialization Challenge
🎙️ In this episode, I talk with Prof. Dr. Marco Huber , Professor for Cognitive Production Systems at the University of Stuttgart : Marco shares his journey from a middle-class upbringing with no academic role models to becoming a leading...
Free Comprehensive Mobile Robotics Course From Freiburg Experts
Learn mobile robotics from one of the strongest academic groups in the field. The University of Freiburg offers a full course on mobile robotics by Prof. Dr. Wolfram Burgard, one of the pioneers of probabilistic robotics and SLAM. Topics covered:...
MIT Offers Complete Visual Navigation Course for Robotics
A full MIT course on visual autonomous navigation. If you work on robotics, drones, or self-driving systems, this one is worth bookmarking‼️ MIT’s Visual Navigation for Autonomous Vehicles course covers the full perception-to-control stack, not just isolated algorithms. What it...
