vision-language-action
Robot Policies That Predict the Touch Before They Make It News
Two matched robotics releases from NeoteAI and Fudan give manipulation policies a sense of touch that anticipates contact rather than reporting it, winning all nine real-robot tasks in the authors' benchmark against strong vision-only baselines.
Google's Gemini Robotics 2 controls a humanoid from feet to fingertips - for a waitlist News
Google DeepMind announced Gemini Robotics 2 with whole-body humanoid control, 22-degree-of-freedom hands and robots that delegate tasks to each other, but only the reasoning model is available to developers; the control models are in private preview.
A robot control model now runs 32 times a second on a gaming GPU, in under a gigabyte News
TurboVLA reaches real-time robot control at 32 Hz using 0.9GB of memory on a consumer RTX 4090, by removing the large language model from the control loop entirely rather than compressing it.
Sunday Robotics Says Its Robot Folds Laundry Reliably in Homes It Has Never Seen News
Sunday Robotics previewed ACT-2, a home-robotics model reporting 99.1% zero-shot success at folding laundry across diverse, unseen homes -- and proposed a new reliability metric to move robotics past cherry-picked demos.
LaMem-VLA gives robots a working memory so they stop forgetting what they just did News
A new robotics model, LaMem-VLA, fixes the 'short-horizon bias' that makes robots react only to what's in front of them by weaving compressed memories of past actions directly into the model's internal representation -- so it can handle multi-step tasks that require remembering an earlier state.
LaMem-VLA gives robots a memory so they stop forgetting the task News
A new framework called LaMem-VLA tackles the 'goldfish memory' problem in robot policies by compressing past experience into latent memory tokens and weaving them into the robot's current reasoning, targeting long-horizon manipulation tasks that single-frame models fail.
What Are Vision-Language-Action Models? Lesson
A vision-language-action (VLA) model is a single neural network that takes in camera images and a plain-language instruction and outputs the actual motor commands to carry it out, letting one model both understand a scene and physically act on it.
Robot AI Models Ace Colors but Flunk 'Is This Alive?' News
A new study shows vision-language-action models lose most of their commonsense world knowledge when fine-tuned to control robots, scoring near coin-flip on questions their source models answered almost perfectly.