Abstract: Brain-controlled robotic arms (BCRAs) have emerged as promising end-effectors in Internet of Things (IoT) environments, enabling direct neural control of physical interactions in remote and ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat ...

Abstract: Teleoperation is crucial for robots in human-robot interaction and collaboration. It requires multi-scale human movement intention mapping in a natural and precise way to complete tasks.

Lenovo’s AI Workmate Concept pairs a robotic arm with animated eyes, document scanning, and projection, hinting at AI assistants with a physical presence.

Inference (without pre-encoded T5) ~ 41 GB A100 (40GB) / A100 (80GB) / H100 / B200 Motus_Wan2_2_5B_pretrain Pretrain / VGM Backbone Stage 1 VGM pretrained checkpoint ...

Adaptable robotic systems incorporating AI, new vision tech and low-code programming are being used to tackle frequent ...

In virtual reality, participants embodied an avatar whose left forearm was replaced by an autonomous prosthetic arm that flexed toward a target at different movement speeds. When AI powered prosthetic ...

A team of researchers led by Nvidia has released DreamDojo, a new AI system designed to teach robots how to interact with the physical world by watching tens of thousands of hours of human video — a ...

A powerful Model Context Protocol (MCP) server that provides AI-powered image and video analysis using Google Gemini and Vertex AI models. Below are the environment variables you need to set based on ...