HybridLeg robots Olaf and Snogie use impact-safe design and self-recovery to enable scalable, real-world hardware ...

By rethinking how thin metal threads are woven into a flexible textile, EPFL researchers have created a lightweight fabric ...

To reliably complete household chores, assemble products and tackle other manual tasks, robots should be able to adapt their ...

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

VLAM (Vision-Language-Action Mamba) is a novel multimodal architecture that combines vision perception, natural language understanding, and robotic action prediction in a unified framework. Built upon ...

Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...

Abstract: This paper presents a novel hybrid framework that combines Dynamic Spanning Tree Coverage (D-STC) with Q-learning to address the challenges of mobile robot navigation and coverage in dynamic ...

Use any model and build agents in pure Python. Full control. Zero magic. LitAI is an LLM router (OpenAI format) and minimal agent framework. Chat with any model (ChatGPT, Anthropic, etc) in one line ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Abstract: The global surge in automation and development of cutting-edge robotic technologies has led to a shift in industrial landscape. However, the biggest hurdle in this move is the initialization ...