机器人 / 具身智能

NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards

Chia-Yu Hung, Navonil Majumder, Haoyuan Deng, Liu Renhang, Yankang Ang, Amir Zadeh, Chuan Li, Dorien Herremans, Ziwei Wang, Soujanya Poria

机构 * Nanyang Technological University（南洋理工大学） ； Lambda Labs（Lambda实验室） ； Singapore University of Technology and Design（新加坡科技设计大学） 纠错

专题命中 具身推理 ：world model(title,abstract)；embodied agent(abstract)；分类 cs.RO、cs.AI

Comments https://declare-lab.github.io/nora-1.5

Imagine in Space: Exploring the Frontier of Spatial Intelligence and Reasoning Efficiency in Vision Language Models

Xiaoxing Lian, Aidong Yang, Jun Zhu, Peng Wang, Yue Zhang

专题命中 具身推理 ：navigation(abstract)；world model(abstract)；分类 cs.AI

Comments 10 pages,a detail and effective benchmark for spatial reasoning

DepthVision: Enabling Robust Vision-Language Models with GAN-Based LiDAR-to-RGB Synthesis for Autonomous Driving

Sven Kirchner, Nils Purschke, Ross Greer, Alois C. Knoll

机构 * Chair of Robotics, Artificial Intelligence and Real-time Systems, Technical University of Munich（机器人学、人工智能与实时系统教授会，慕尼黑技术大学） ； Computer Science and Engineering Department, University of California Merced（计算机科学与工程系，加州大学默塞德分校） 纠错

专题命中 具身推理 ：robotics(abstract)；分类 cs.RO、cs.AI、cs.CV