The new system uses a wearable exoskeleton to record human motion and teach humanoid robots complex, full-body skills.

This VEX Robotics Engineering Challenge continued the classic competition format and comprehensively assessed the participants' overall abilities. The competition was divided into three phases: ...

Sept. 22, 2025 – ABB Robotics has invested in California-based LandingAI to accelerate the transformation of vision AI, making it faster, more intuitive and accessible to a broader range of users.

Abstract: Amid growing efforts to leverage advances in large language models (LLMs) and vision-language models (VLMs) for robotics, Vision-Language-Action (VLA) models have recently gained significant ...

Computer vision moved fast in 2025: new multimodal backbones, larger open datasets, and tighter model–systems integration. Practitioners need sources that publish rigorously, link code and benchmarks, ...

Developing efficient Vision-Language-Action (VLA) policies is crucial for practical robotics deployment, yet current approaches face prohibitive computational costs and resource requirements. Existing ...

A Model Context Protocol (MCP) server for VEX Robotics Competition data using the RobotEvents API. This server enables Claude Desktop (and other MCP clients) to access comprehensive VEX competition ...

Abstract: Soft-bodied robots with multimodal sensing capabilities hold promise for versatile and user-friendly robotics. However, seamlessly integrating multiple sensing functionalities into soft ...