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How can robots reliably place objects in diverse real-world tasks? 🤖🔍 Placement is tough—objects vary in shape and placement modes (such as stacking, hanging, and insertion), making it a challenging problem. We introduce AnyPlace, a two-stage method trained purely on synthetic data to predict diverse placement poses of unseen...

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Animesh Garg

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25,378 görüntüleme • 1 yıl önce •via X (Twitter)

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Spatial AI ( is building large real-world datasets to teach robots how to navigate the world and complete tasks. Their first open source dataset, SEA (Spatial Everyday Activities), is the largest curated egocentric dataset of people carrying out real tasks, with 10,000 hours of data.
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Robots struggle with strict action rules…memory and symbols help them learn fast. [Project + Full video link ⬇️] Robots struggle when tasks require specific steps in a fixed order. What if memory helped them think symbolically and learn faster? Solving tasks like unlocking a door then opening it is hard for deep RL. But by learning constraint relationships and storing them in memory, robots can solve these tasks much faster; with fewer trials and less training. Why it works ✅ Learns symbolic rules about action constraints ✅ Uses memory to transfer what it learned across tasks ✅ Handles real-world exploration with just 30 minutes of data ✅ Needs 10x fewer episodes than deep RL approaches This memory-based method shows a promising path forward for robots learning structured, real-world tasks. Full video: Paper: Thank you, Mrinal Verghese for sharing this amazing work! 🙏

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How can we responsibly deploy agentic AI robots in real-world environments? As we close the gap between AI reasoning and physical action, developing a new safety framework is key to advancing helpful robots. 🤖

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We're currently testing new set design and camera placement AI processes for our portfolio! We're using colored markers to place our "cameras" and characters in specific locations on a specific set! it's similar to preparing a set and scenery for a real film. AI Tools : Midjourney (Set Place 2D) /Freepik : Nano Banana Pro (3D and Camera / character placement) / Grok + Kling (Animation) / Topaz (Upscale) / Characters (See process in quote)

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Palletizing in the real world! 📦🤖 How do you stack 65 unique SKUs on a pallet when they arrive in random order? Here’s how an on-the-fly algorithm solved it in a real logistics use case with only a single-digit buffer. Every placement was checked for stability, not just for itself, but for every other box it touched. The result? A rock-solid 2.05 m (6.5 ft) pallet. Robotics in logistics keeps improving. Hardware matters, but without smart software your robots won’t know what to do and you’ll waste money and time. Credit: Progressive Robotics

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#UnityTips Need to spread objects evenly along a transform? Use the L(-1,1) command to linearly distribute them between point 0 and 15. Great for fast level layout, modular environments, and procedural placement workflows. Example from our game #gamedev
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#UnityTips Need to spread objects evenly along a transform? Use the L(-1,1) command to linearly distribute them between point 0 and 15. Great for fast level layout, modular environments, and procedural placement workflows. Example from our game #gamedev

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