A new benchmark called CaP-Bench, integrated with LIBERO-PRO, Robosuite and BEHAVIOR, shows frontier large language models can generate executable robot control code zero-shot at over 30% average succ…
Intel's OpenVINO Physical AI framework is being positioned to close the deployment gap for robotics foundation models, using the optimization of Physical Intelligence's π0.5 Vision-Language-Action mod…
At the 2026 World Robot Conference in Beijing, Mininglamp and HIKROBOT demonstrated a multi-agent orchestration layer connecting digital agents to physical robots across restaurant cleaning, warehouse…
A new PyTorch-based tutorial provides a from-scratch guide to building vision-based imitation learning policies for robotic manipulation, running on a single GPU and tested on the RoboSuite Lift task …
Researchers Riyaaz Shaik and Chandru Venkataraman introduced REFACTOR-VLA, a system that learns reusable motor skills for vision-language-action models using a wake/sleep architecture with a Behaviora…
At the World Robot Conference 2026, Mininglamp and HIKROBOT demonstrated a robot that assisted with the award ceremony, showcasing a joint booth where three scenarios—restaurant cleaning, warehouse lo…
A reproducible 100-step LoRA fine-tuning run for the OpenVLA 7-billion-parameter robotics model on a Colab A100 GPU has been documented, providing a verifiable integration test that confirms the train…
New advancements in Vision Language Action (VLA) models are achieving 39 times faster inference speeds than OpenVLA and 46 Hz throughput on edge platforms, reducing latency and costs through fewer act…
A developer has created a controlled dataset to test whether finetuning Vision-Language-Action (VLA) models degrades them into imitation learners that memorize scene-action mappings rather than genuin…