每日论文雷达

每天挑出值得机器人 / 具身智能研究者看的几篇论文,用大白话讲清楚。Type 1 是跟目前的研究项目很相关的论文;Type 2 是方法比较有潜力、可能改变现有做法的论文。

最新

10 篇 单日页
Type 1 · Project-related Must-readRequestedKey group 证据 B

StopWatch: Goal Grounding for Object-goal Navigation

物体导航常走到目标旁却不停;先让感知模型报出目标在否与距离,六个基准领先

Xinhao Liu, Yunsheng Tian, Yuheng Qiu, Pieter Abbeel, Xi Chen, Guanya Shi, Chen Feng

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Object-Goal NavigationVLABenchmarks Project page

Type 1 · Project-related Must-readRequested 证据 A

Scaling Online Exploration for Robot Agents

冻结大模型的编程代理靠在线试错写出机器人程序,无示范在多数基准胜过示范训练策略

Runhan Huang, Xiangcheng Zhang, Haoyu Chen, Yitong Li, Yen-Jen Wang, Bohan Lyu, Haotian Ye, Chuye Hong, Yixuan Wang, Chloe Su, Haoyu Xiong, Yangzhen Wu, Enze Xie, Travis Manderson, Stefano Ermon, Pieter Abbeel, Antonio Torralba, Dawn Song, Weirui Ye, Yilun Du

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AgentsRobot LearningMobile Manipulation Project page

Type 2 · Promising method Requested 证据 B

BeJEPA: A Goal-Conditioned Humanoid Behavior World Model via Unsupervised RL

一步动力学加后继特征训练人形全身控制,世界坐标全局误差降约六成

Liyun Yan, Haoyang Li, Yang Zhang, Jialing Zhu, Zhanxiang Cao, Zihao Zhou, Keqi Zhu, Yizhi Chen, Huang Chuxuan, Shengcheng Fu, Zhong Jiangwei, Qiao Sun, Chen Zhang, Yue Gao

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HumanoidsWorld ModelsRobot Learning Project page

Type 2 · Promising method Key group 证据 B

FLORA: An Open Model Suite for Scaling Robotics Data Engines

一套开源模型同时给机器人视频打分段字幕和奖励,成本约为顶级 API 的 1/125

Sicong Leng, Yunze Man, Zhiqi Li, Jing Wang, Yuhe Zhang, Ryan Punamiya, Siddharth Patki, Kaiyuan Zheng, Zi-ang Cao, Zhiding Yu, Sifei Liu, Danfei Xu, Ben Levin, Jan Kautz, Yuke Zhu, Johan Bjorck, Linxi "Jim" Fan

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Robot LearningFoundation Models CodeProject page

Type 1 · Project-related Key group 证据 B

Learning Force-Reactive Humanoid Loco-Manipulation

手持测力夹爪采示教加力位混合全身控制,人形真机成功率80%对26.7%

Sihang Li, Xiaofeng Guo, Jinkun Cao, Charlie Cheng, Ruihan Yang, Chen Feng, Guanya Shi, Haozhi Qi

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HumanoidsMobile ManipulationRobot Learning Project page

Type 1 · Project-related Key group 证据 B

EgoContact: Evaluating Physical Intelligence with Egocentric Video

用2.25万条人类第一视角接触标注,考模型“该碰物体哪里”,并把机器人抓取成功率翻倍

Adam Deryło, Alexey Gavryushin, Daniel Cremers, Marc Pollefeys, Xi Wang

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BenchmarksRobot LearningFoundation Models Project page