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 是能直接拿来用的工作,比如可以当基线、可以借鉴某个模块;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 · Directly applicable 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 et al. Xi Chen, Guanya Shi, Chen Feng

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Object-Goal NavigationVLABenchmarks Project page

Type 1 · Directly applicable 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 et al. Dawn Song, Weirui Ye, Yilun Du

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AgentsRobot LearningMobile Manipulation 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 et al. Yuke Zhu, Johan Bjorck, Linxi "Jim" Fan

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Robot LearningFoundation Models CodeProject page

Type 1 · Directly applicable 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 et al. Chen Feng, Guanya Shi, Haozhi Qi

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HumanoidsMobile ManipulationRobot Learning Project page

Type 1 · Directly applicable 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