🙌Feel Robot Feels: Tactile Feedback Array Glove for Dexterous Manipulation
Project website:trap-1.github.io/TAG.github.io/
Paper:arxiv.org/pdf/2603.28542
Stay tuned—code will be open-sourced shortly! [🍻]
Junfeng Long
@junfeng_long
- Very cool humanoid tennis demo. Turns out solving humanoid robotics requires a bit more than overfitting to mocap clips in unrealistic scenes.🎾Introducing LATENT: Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data Dynamic movements, agile whole-body coordination, and rapid reactions. A step toward athletic humanoid sports skills. Project: zzk273.github.io/LATENT/ Code: github.com/GalaxyGeneralR…
- Cool! By isolating the actual mechanisms behind generative control performance, this paper encourages a much-needed rethinking of modern robot policy design.Generative models (diffusion/flow) are taking over robotics 🤖. But do we really need to model the full action distribution to control a robot? We suspected the success of Generative Control Policies (GCPs) might be "Much Ado About Noising." We rigorously tested the myths. 🧵👇
- Pixels in, contacts out... Perception, interaction, autonomy - next agenda for humanoids. We learn a multi-task humanoid world model from offline datasets and use MPC to plan contact-aware behaviors from ego-vision in the real-world. Project and Code: ego-vcp.github.io
- AMP still has its privilege in the motion tracking era!⚽️ We create a humanoid goalkeeper ! 🥅One-stage RL training ⏰Fully autonomous & real-time 📷Alternative perception: MoCap ↔️ onboard camera 🔁 Generalizes to ball grabbing, squat & jump escapes website: humanoid-goalkeeper.github.io/Goalkeeper/ paper: arxiv.org/pdf/2510.18002
