“That’s definitely not the case,” Zhang Wei, founder of LimX Dynamics, told 36Kr. “I don’t think 2026 will be a winter [for ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
The Brighterside of News on MSN
Simple printed signs can hijack self-driving cars and robots
Automatic, robotic systems that operate in our physical environment, also known as embodied AI systems, are continually ...
Abstract: Despite a large body of research on robot learning, it has not yet been thoroughly studied how collaborating humans and robots learn reciprocally. In such situations, both humans and robots ...
This is the official implementation for our NeurIPS 2024 paper "Can Graph Learning Improve Planning in LLM-based Agents?" [中文] For running LLM's direct inference or GraphSearch, our codes are ...
The violin has long been a prominent instrument in music education, but challenges remain in sustaining student interest and optimizing learning efficacy. This systematic review explores effective ...
Abstract: This paper investigates adaptive transmission strategies in embodied AI-enhanced vehicular networks by integrating vision language models (VLMs) for semantic information extraction and deep ...
1 School of Educational Science, Harbin Normal University, Harbin, China 2 School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China Introduction: Embodiment in ...
We propose TesserAct, the first open-source and generalized 4D World Model for robotics, which takes input images and text instructions to generate RGB, depth, and normal videos, reconstructing a 4D ...
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