X1 represents a leap in robotic mobility, integrating humanoid and drone functions for improved autonomy and adaptability in real-world applications.

The world's first multirobot system that integrates a humanoid robot with a transforming drone that can launch off the ...

Xiaomi Automotive Technology Co., Ltd. applied for a smart driving-related patent titled "Control Method, Device, Vehicle, Medium, and Program Product" in July 2025, with patent number CN120756497A.

Aeva has launched AevaScenes, described as the world’s first open dataset to provide synchronized, multi-sensor ...

A new AI can “see” what fusion sensors miss, helping stabilize plasma and make reactors more efficient. The breakthrough could push fusion energy closer to becoming a reliable power source.

The use of intelligent inspection robots in structural health monitoring is advancing, reducing costs and risks while ...

Amazon Web Services (AWS) announced a 67-company cohort for the AWS Space Accelerator: APJ 2025 program, with startups from Australia, India and Japan. Forty-two Indian companies make up the largest ...

Historically, medical imaging datasets have supported only image‑level classification. For example, an X‑ray might be labeled as “showing cardiomegaly” or “no abnormalities detected.” While functional ...

1 School of Mathematics and Statistics, Fuyang Normal University, Fuyang, China 2 State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan, China The ...

Multimodal perception is essential for enabling robots to understand and interact with complex environments and human users by integrating diverse sensory data, such as vision, language, and tactile ...

Abstract: In agricultural applications, traditional image and sensor-based methods for plant disease prediction face notable limitations. Image-based approaches often struggle with early-stage ...

Achieving pixel-level segmentation with low computational cost using multimodal data remains a key challenge in crack segmentation tasks. Existing methods lack the capability for adaptive perception ...