sombit_d
70 posts

sombit_d
@DSombit
Robotics @INSAITinstitute, @ETH_en,@IITKgp Personal Website: https://t.co/zoZcKoySLs

One less-known fact about glove-based data collection: it produces higher quality data than teleop on contact-rich tasks. Remote teleop can’t provide good force feedback, but gloves do naturally, making tasks like sock folding, which rely on feel, far easier to capture.






Introducing GEN-0, our latest 10B+ foundation model for robots ⏱️ built on Harmonic Reasoning, new architecture that can think & act seamlessly 📈 strong scaling laws: more pretraining & model size = better 🌍 unprecedented corpus of 270,000+ hrs of dexterous data Read more 👇

Pushing the boundaries of humanoids with THOR: Towards Human-level whOle-body Reaction. BAAI THOR is coming soon. #Robotics #AI #WholeBodyControl

Incredible news. Neural MP has won the Best Student Paper award at IROS 2025!! Congratulations to @mihdalal & @Jiahui_Yang6709 for leading the project along with @mendonca_rl, youssef, @rsalakhu. Neural MP is a major step in making motion planning end-to-end, fast & reactive.


Excited to share Equilibrium Matching (EqM)! EqM simplifies and outperforms flow matching, enabling strong generative performance of FID 1.96 on ImageNet 256x256. EqM learns a single static EBM landscape for generation, enabling a simple gradient-based generation procedure.






Its amazing how we are still building on the backs of FAIR

With 3M+ downloads and counting, NVIDIA Cosmos is redefining physical AI. Announced at #CORL25, new Cosmos updates are allowing developers to generate diverse data for accelerating training robot models at scale. 👏 Cosmos Predict 2.5 will combine three models into one powerful model—reducing complexity, powering up to 30s video generation, and enabling multi-view simulations. 👏 Cosmos Transfer 2.5 will be 3.5x smaller yet faster and sharper—generating photorealistic synthetic data from 3D scenes or spatial inputs. 🔗 nvda.ws/48lW6eT








TRI's latest Large Behavior Model (LBM) paper landed on arxiv last night! Check out our project website: toyotaresearchinstitute.github.io/lbm1/ One of our main goals for this paper was to put out a very careful and thorough study on the topic to help people understand the state of the technology, and to share a lot of details for how we're achieving it. youtube.com/watch?v=BEXFnr…






