On August 12-13 a working group at SFI explored the challenges and opportunities of digital-twin technology — virtual ...

We present a cost-effective pretraining paradigm for VLA models using only synthetic data, achieving direct sim-to-real transfer and strong zero-shot generalizability for robotic grasping. Key ...

We introduce InterAct, a comprehensive large-scale 3D human-object interaction (HOI) dataset, originally comprising 21.81 hours of HOI data consolidated from diverse sources, the dataset is ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Roboflow has launched RF-DETR, a real-time object detection model tailored for embedded systems, edge devices, and low-latency applications. Rather than competing in the race for scale among ...

Niantic, the company behind Pokémon Go, has been scraping users’ scans of the world to build a model that will help robots navigate physical space. Some experts are worried about the potential ...

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Meta has introduced SAM 2, the next generation of its Segment Anything Model. Building on the success of its predecessor, SAM 2 is a groundbreaking unified model designed for real-time promptable ...

The number of academic papers released daily is increasing, making it difficult for researchers to track all the latest innovations. Automating the data extraction process, especially from tables and ...