机器人 / 具身智能

3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds

Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie

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

Comments ICLR

Disentangling Representations through Multi-task Learning

Pantelis Vafidis, Aman Bhargava, Antonio Rangel

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

Comments 43 pages, 17 figures

Journal ref International Conference on Learning Representations, 2025 https://openreview.net/forum?id=yVGGtsOgc7

Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?

Yoshua Bengio, Michael Cohen, Damiano Fornasiere, Joumana Ghosn, Pietro Greiner, Matt MacDermott, Sören Mindermann, Adam Oberman, Jesse Richardson, Oliver Richardson, Marc-Antoine Rondeau, Pierre-Luc St-Charles, David Williams-King

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

Comments v2 with fixed formatting for URLs and hyperlinks

Efficient auto-labeling of large-scale poultry datasets (ALPD) using an ensemble model with self- and active-learning approaches

Ramesh Bahadur Bist, Lilong Chai, Shawna Weimer, Hannah Atungulua, Chantel Pennicott, Xiao Yang, Sachin Subedi, Chaitanya Pallerla, Yang Tian, Dongyi Wang

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

Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy

Mingyang Zhao, Gaofeng Meng, Dong-Ming Yan

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

Comments [ICLR 2025] Project and code at: https://github.com/zikai1/OAReg

Free Energy Risk Metrics for Systemically Safe AI: Gatekeeping Multi-Agent Study

Michael Walters, Rafael Kaufmann, Justice Sefas, Thomas Kopinski

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

Comments 9 pages, 1 figure

PhiP-G: Physics-Guided Text-to-3D Compositional Scene Generation

Qixuan Li, Chao Wang, Zongjin He, Yan Peng

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

Comments 13 pages.8 figures

Revisiting Rogers' Paradox in the Context of Human-AI Interaction

Katherine M. Collins, Umang Bhatt, Ilia Sucholutsky

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

Comments Pre-print

Exosense: A Vision-Based Scene Understanding System For Exoskeletons

Jianeng Wang, Matias Mattamala, Christina Kassab, Guillaume Burger, Fabio Elnecave, Lintong Zhang, Marine Petriaux, Maurice Fallon

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

Comments 8 pages, 9 figures

Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordances

Tuba Girgin, Emre Ugur

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

Comments This work has been accepted by the IEEE for possible publication

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Yixuan Li, Neel Joshi

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

Comments Accepted to NeurIPS 2024

UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving

Daniel Bogdoll, Noël Ollick, Tim Joseph, Svetlana Pavlitska, J. Marius Zöllner

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

Comments Daniel Bogdoll and Noël Ollick contributed equally. Accepted for publication at BMVC 2024 RROW workshop

Grounding 3D Scene Affordance From Egocentric Interactions

Cuiyu Liu, Wei Zhai, Yuhang Yang, Hongchen Luo, Sen Liang, Yang Cao, Zheng-Jun Zha

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

Scene Understanding in Pick-and-Place Tasks: Analyzing Transformations Between Initial and Final Scenes

Seraj Ghasemi, Hamed Hosseini, MohammadHossein Koosheshi, Mehdi Tale Masouleh, Ahmad Kalhor

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

Comments Conference Paper, ICEE 2024, 7 pages, 5 figures

Gradient-Driven 3D Segmentation and Affordance Transfer in Gaussian Splatting Using 2D Masks

Joji Joseph, Bharadwaj Amrutur, Shalabh Bhatnagar

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

Comments Preprint, Under review for ICRA 2025

Benchmarking General-Purpose In-Context Learning

Fan Wang, Chuan Lin, Yang Cao, Yu Kang

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

Anatomy of a Robotaxi Crash: Lessons from the Cruise Pedestrian Dragging Mishap

Philip Koopman

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

Comments 15 pages, 2 figures

A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference

Ayman Beghdadi, Azeddine Beghdadi, Mohib Ullah, Faouzi Alaya Cheikh, Malik Mallem

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

Enhancing Human-Centered Dynamic Scene Understanding via Multiple LLMs Collaborated Reasoning

Hang Zhang, Wenxiao Zhang, Haoxuan Qu, Jun Liu

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

Video Occupancy Models

Manan Tomar, Philippe Hansen-Estruch, Philip Bachman, Alex Lamb, John Langford, Matthew E. Taylor, Sergey Levine

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

ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding

Quang P. M. Pham, Khoi T. N. Nguyen, Lan C. Ngo, Truong Do, Truong Son Hy

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

Neuromorphic Visual Scene Understanding with Resonator Networks

Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, E. Paxon Frady

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

Comments 23 pages, 8 figures, minor revisions and extended supplementary material

Journal ref Nature Machine Intelligence 6 (2024)

Transformer Normalisation Layers and the Independence of Semantic Subspaces

Stephen Menary, Samuel Kaski, Andre Freitas

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

LLMs Meet Multimodal Generation and Editing: A Survey

Yingqing He, Zhaoyang Liu, Jingye Chen, Zeyue Tian, Hongyu Liu, Xiaowei Chi, Runtao Liu, Ruibin Yuan, Yazhou Xing, Wenhai Wang, Jifeng Dai, Yong Zhang, Wei Xue, Qifeng Liu, Yike Guo, Qifeng Chen

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

Comments 52 Pages with 16 Figures, 12 Tables, and 545 References. GitHub Repository at: https://github.com/YingqingHe/Awesome-LLMs-meet-Multimodal-Generation

Learning to Model the World with Language

Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca Dragan

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

Comments ICML 2024. Website: https://dynalang.github.io/

OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

Lening Wang, Wenzhao Zheng, Yilong Ren, Han Jiang, Zhiyong Cui, Haiyang Yu, Jiwen Lu

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

Comments Code is available at: https://github.com/wzzheng/OccSora

How Do Transformers "Do" Physics? Investigating the Simple Harmonic Oscillator

Subhash Kantamneni, Ziming Liu, Max Tegmark

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

Comments 9 pages, 9 figures

Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives

Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen, Ruiqi Wu, Shuyi Geng, Yi Zhou, Ling Shao, Yi Yang, Bojun Gao, Qun Li, Guobin Wu

专题命中 具身推理 ：world model(abstract)；分类 cs.CV、cs.LG

Comments Accepted to IEEE Transactions on Intelligent Vehicles(T-IV). 24 pages, 9 figures, 1 table

Boosting long-term forecasting performance for continuous-time dynamic graph networks via data augmentation

Yuxing Tian, Mingjie Zhu, Jiachi Luo, Song Li

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

Comments Recent evidence has emerged that directly contradicts the main findings of our paper, particularly those in Section 4. We need to conduct further research to address these discrepancies

Neuromorphic dreaming: A pathway to efficient learning in artificial agents

Ingo Blakowski, Dmitrii Zendrikov, Cristiano Capone, Giacomo Indiveri

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