机器人 / 具身智能 - arXivDaily 专题

2301.04454 2023-01-12 cs.CV cs.AI cs.RO 69%

Allo-centric Occupancy Grid Prediction for Urban Traffic Scene Using Video Prediction Networks

Rabbia Asghar, Lukas Rummelhard, Anne Spalanzani, Christian Laugier

专题命中机器人数据与评测：navigation(abstract)；分类 cs.RO、cs.AI、cs.CV；robotics(comments)

Comments ICARCV 2022-17th International Conference on Control, Automation, Robotics and Vision

2212.00922 2022-12-05 cs.RO cs.CV cs.LG 69%

Navigating to Objects in the Real World

Theophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot

专题命中机器人数据与评测：navigation(abstract)；分类 cs.RO、cs.CV、cs.LG；robotics(comments)

Comments 39 pages, 19 figures and tables, submitted to Science Robotics

2111.13129 2022-09-20 cs.RO cs.CV cs.LG 69%

Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models

Iman Nematollahi, Erick Rosete-Beas, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard

专题命中机器人数据与评测：robotics(abstract,comments)；分类 cs.RO、cs.CV、cs.LG

Comments Accepted at the 2022 IEEE International Conference on Robotics and Automation (ICRA)

2110.03267 2022-07-13 cs.RO cs.CV cs.LG 69%

Propagating State Uncertainty Through Trajectory Forecasting

Boris Ivanovic, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, Marco Pavone

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.CV、cs.LG；robotics(comments)

Comments IEEE International Conference on Robotics and Automation (ICRA) 2022 -- 8 pages, 6 figures, 4 tables

2207.05006 2022-07-12 cs.RO cs.AI cs.LG 69%

TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs

Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG；robot learning(comments)

Comments Video: https://www.youtube.com/watch?v=mM4v5hP4LdA&ab_channel=KrishnaMurthy . Project page: https://taskography.github.io/ . 18 pages, 7 figures. In proceedings of Conference on Robot Learning (CoRL) 2021. The first two authors contributed equally

Journal ref PMLR 164 (2022) 46-58

2104.07528 2021-04-16 cs.CV cs.AI cs.RO 69%

Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation

Kilian Kleeberger, Markus Völk, Richard Bormann, Marco F. Huber

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.AI、cs.CV；robotics(comments)

Comments Accepted at 2021 IEEE International Conference on Robotics and Automation (ICRA 2021)

2011.04825 2021-03-23 cs.RO cs.AI cs.LG eess.SP 69%

Multi-Agent Active Search using Realistic Depth-Aware Noise Model

Ramina Ghods, William J. Durkin, Jeff Schneider

专题命中机器人数据与评测：robotics(abstract,comments)；分类 cs.RO、cs.AI、cs.LG

Comments To appear at the 2021 IEEE International Conference on Robotics and Automation (ICRA), extended version

2012.06739 2020-12-15 cs.RO cs.CV cs.DC cs.LG cs.NI 69%

Sampling Training Data for Continual Learning Between Robots and the Cloud

Sandeep Chinchali, Evgenya Pergament, Manabu Nakanoya, Eyal Cidon, Edward Zhang, Dinesh Bharadia, Marco Pavone, Sachin Katti

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.CV、cs.LG；robotics(comments)

Comments International Symposium on Experimental Robotics (ISER) 2020, Malta

1910.07972 2020-07-09 cs.RO cs.CV cs.LG 69%

Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control

Lukas Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox

专题命中机器人数据与评测：manipulation(abstract)；分类 cs.RO、cs.CV、cs.LG；robotics(comments)

Comments Accepted at the 2020 IEEE International Conference on Robotics and Automation (ICRA). Project page see https://lmb.informatik.uni-freiburg.de/projects/curriculum/

2001.08434 2020-03-13 cs.RO cs.CV cs.LG 69%

Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations

Sourav Garg, Michael Milford

专题命中机器人数据与评测：robotics(abstract,comments)；分类 cs.RO、cs.CV、cs.LG

Comments 8 pages, 4 figures, Accepted for oral presentation at the 2020 IEEE International Conference on Robotics and Automation

1906.07371 2019-06-19 cs.AI cs.LG cs.RO 69%

Learning to Plan Hierarchically from Curriculum

Philippe Morere, Lionel Ott, Fabio Ramos

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG；robotics(journal_ref)

Journal ref IEEE Robotics and Automation Letters (2019)

1904.02390 2019-04-05 cs.RO cs.AI cs.LG 69%

Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning

Jiachen Li, Hengbo Ma, Masayoshi Tomizuka

专题命中机器人数据与评测：robotics(abstract,comments)；分类 cs.RO、cs.AI、cs.LG

Comments Accepted by 2019 International Conference on Robotics and Automation (ICRA)

1809.10732 2019-03-04 cs.RO cs.CV cs.LG stat.ML 69%

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks

Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric

专题命中机器人数据与评测：robotics(abstract,comments)；分类 cs.RO、cs.CV、cs.LG

Comments Accepted for publication at IEEE International Conference on Robotics and Automation (ICRA) 2019

1804.09364 2018-12-14 cs.RO cs.CV cs.LG 69%

Driving Policy Transfer via Modularity and Abstraction

Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun

专题命中机器人数据与评测：robotic(abstract,comments)；分类 cs.RO、cs.CV、cs.LG

Comments Accepted at Conference on Robotic Learning (CoRL'18) http://proceedings.mlr.press/v87/mueller18a.html

1809.07731 2018-09-21 cs.LG cs.AI cs.RO stat.ML 69%

Benchmarking Reinforcement Learning Algorithms on Real-World Robots

A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG；robot learning(comments)

Comments Appears in Proceedings of the Second Conference on Robot Learning (CoRL 2018). Companion video at https://youtu.be/ovDfhvjpQd8 and source code at https://github.com/kindredresearch/SenseAct

1710.04076 2017-10-12 cs.RO cs.AI cs.CV 69%

Deep Semantic Abstractions of Everyday Human Activities: On Commonsense Representations of Human Interactions

Jakob Suchan, Mehul Bhatt

专题命中机器人数据与评测：robotics(abstract,comments)；分类 cs.RO、cs.AI、cs.CV

Comments In ROBOT 2017: Third Iberian Robotics Conference. Escuela Técnica Superior de Ingeniería, Sevilla (Spain) (November 22-24, 2017). https://grvc.us.es/robot2017/ (to appear). arXiv admin note: substantial text overlap with arXiv:1709.05293

1608.00627 2016-08-03 cs.RO cs.AI cs.LG 69%

Learning Transferable Policies for Monocular Reactive MAV Control

Shreyansh Daftry, J. Andrew Bagnell, Martial Hebert

专题命中机器人数据与评测：robotics(abstract,comments)；分类 cs.RO、cs.AI、cs.LG

Comments International Symposium on Experimental Robotics (ISER 2016)

2410.14686 2025-07-08 eess.SP cs.AI cs.LG 68%

Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling

Lucas Heublein, Tobias Feigl, Alexander Rügamer, Felix Ott

专题命中机器人数据与评测：navigation(abstract,comments)；分类 cs.AI、cs.LG

Comments DGON Positioning and Navigation for Intelligent Transport Systems (POSNAV)

Journal ref DGON Positioning and Navigation for Intelligent Transport Systems (POSNAV), October 2024

2301.07690 2025-02-26 cs.RO cs.AI 68%

CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots

Md Abir Hossen, Sonam Kharade, Bradley Schmerl, Javier Cámara, Jason M. O'Kane, Ellen C. Czaplinski, Katherine A. Dzurilla, David Garlan, Pooyan Jamshidi

专题命中机器人数据与评测：robotic(abstract)；robotics(comments,journal_ref)；分类 cs.RO、cs.AI

Comments IEEE Robotics and Automation Letters, 2023 (Accepted)

Journal ref IEEE Robotics and Automation Letters 8.7 (2023): 4115-4122

2406.02989 2024-12-30 cs.RO cs.AI 68%

Learning Semantic Traversability with Egocentric Video and Automated Annotation Strategy

Yunho Kim, Jeong Hyun Lee, Choongin Lee, Juhyeok Mun, Donghoon Youm, Jeongsoo Park, Jemin Hwangbo

专题命中机器人数据与评测：navigation(abstract)；robotics(comments,journal_ref)；分类 cs.RO、cs.AI

Comments Accepted to IEEE Robotics and Automation Letters (RA-L) 2024, First two authors contributed equally

Journal ref IEEE Robotics and Automation Letters (Volume: 9, Issue: 11, November 2024)

2309.10726 2024-09-12 cs.CV cs.RO 68%

Few-Shot Panoptic Segmentation With Foundation Models

Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada

专题命中机器人数据与评测：robotic(abstract)；robotics(comments,journal_ref)；分类 cs.RO、cs.CV

Comments Accepted for "IEEE International Conference on Robotics and Automation (ICRA) 2024"

Journal ref IEEE International Conference on Robotics and Automation, 2024, pp. 7718-7724

2303.10147 2024-09-12 cs.RO cs.CV 68%

CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation

Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada

专题命中机器人数据与评测：robotic(abstract)；robotics(comments,journal_ref)；分类 cs.RO、cs.CV

Comments Accepted for "Robotics: Science and Systems (RSS) 2023"

Journal ref Robotics: Science and Systems, 2023

2407.18240 2024-07-26 cs.RO cs.CV 68%

CodedVO: Coded Visual Odometry

Sachin Shah, Naitri Rajyaguru, Chahat Deep Singh, Christopher Metzler, Yiannis Aloimonos

专题命中机器人数据与评测：navigation(abstract)；robotics(comments,journal_ref)；分类 cs.RO、cs.CV

Comments 7 pages, 4 figures, IEEE ROBOTICS AND AUTOMATION LETTERS

Journal ref IEEE ROBOTICS AND AUTOMATION LETTERS, 2024

2307.11543 2024-03-05 cs.CV cs.RO 68%

KVN: Keypoints Voting Network with Differentiable RANSAC for Stereo Pose Estimation

Ivano Donadi, Alberto Pretto

专题命中机器人数据与评测：robotics(abstract,comments)；分类 cs.RO、cs.CV

Comments Published in IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters, vol. 9, no. 4, pp. 3498-3505, April 2024

2305.16378 2023-11-29 cs.RO cs.AI 68%

Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark

Juncheng Li, David J. Cappelleri

专题命中机器人数据与评测：manipulation(abstract)；robotics(comments,journal_ref)；分类 cs.RO、cs.AI

Comments IEEE Transactions on Robotics

Journal ref IEEE Transactions on Robotics (2023) 1-16

2302.13629 2023-09-28 cs.RO cs.AI cs.MA 68%

Estimation of continuous environments by robot swarms: Correlated networks and decision-making

Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann

专题命中机器人数据与评测：robotics(abstract,comments)；分类 cs.RO、cs.AI

Comments \c{opyright} Accepted at IEEE/International Conference on Robotics and Automation (ICRA) 2023, 7 pages, 7 figures

Journal ref 2023 IEEE International Conference on Robotics and Automation (ICRA)

2010.08054 2023-02-28 cs.RO cs.CV 68%

Pose Estimation for Robot Manipulators via Keypoint Optimization and Sim-to-Real Transfer

Jingpei Lu, Florian Richter, Michael Yip

专题命中机器人数据与评测：robotic(abstract)；robotics(comments,journal_ref)；分类 cs.RO、cs.CV

Comments 8 pages, 9 figures. Accepted to IEEE Robotics and Automation Letters January, 2022

Journal ref in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 4622-4629, April 2022

2505.10542 2025-12-29 cs.RO 68%

AORRTC: Almost-Surely Asymptotically Optimal Planning with RRT-Connect

AORRTC: 几乎确定性渐进最优规划与RRT-Connect

Tyler Wilson, Wil Thomason, Zachary Kingston, Jonathan Gammell

专题命中机器人数据与评测：robotic(abstract,comments)；robotics(comments,journal_ref)；分类 cs.RO

AI总结 AORRTC通过扩展RRT-Connect实现几乎确定性渐进最优规划，以高效且可靠的方式解决高自由度机器人运动规划问题。

Comments IEEE Robotics and Automation Letters (RA-L). 8 pages, 4 figures, 1 table. A video of AORRTC can be found at https://www.youtube.com/watch?v=j1itxP3KuiM . Information on the implementation of AORRTC is available at https://robotic-esp.com/code/aorrtc/

Journal ref IEEE Robotics and Automation Letters, vol. 10 num. 12, (2025). Pages 13375-13382

2608.15410 2026-08-18 cs.DC cs.AI cs.CV cs.RO cs.SY eess.SY 新提交 67%

FloodReasonBench: Benchmarking VLM Reasoning Segmentation for Embodied Flood Response at the Edge

FloodReasonBench：面向边缘端具身洪水响应的VLM推理分割基准

Rajat Bhattacharjya, Yoomee Jung, Minwoo Kim, Sing-Yao Wu, Eli Bozorgzadeh, Nalini Venkatasubramanian, Nikil Dutt

专题命中机器人数据与评测：embodied agent(abstract)；分类 cs.RO、cs.AI、cs.CV

AI总结 FloodReasonBench针对边缘端具身洪水响应，构建专用数据集并刻画推理分割流水线的性能权衡，为资源受限场景提供任务与系统层面的基准支持。

Comments Paper is currently under review. The code and dataset will be made public upon acceptance

2602.12407 2026-08-18 cs.RO cs.CV cs.LG 版本更新 67%

MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery

MiDAS：一种用于机器人辅助微创手术的多模态数据采集系统和数据集

Keshara Weerasinghe, Seyed Hamid Reza Roodabeh, Andrew Hawkins, Zhaomeng Zhang, Zachary Schrader, Homa Alemzadeh

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.CV、cs.LG

AI总结 MiDAS是一种开源多模态数据采集系统，能够实现机器人辅助微创手术的非侵入式数据采集，并发布首个高保真仿真模型的缝合任务数据集。

Comments 29 pages, 17 figures

1. 机器人数据与评测 8660 篇

Allo-centric Occupancy Grid Prediction for Urban Traffic Scene Using Video Prediction Networks

Navigating to Objects in the Real World

Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models

Propagating State Uncertainty Through Trajectory Forecasting

TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs

Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation

Multi-Agent Active Search using Realistic Depth-Aware Noise Model

Sampling Training Data for Continual Learning Between Robots and the Cloud

Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control

Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations

Learning to Plan Hierarchically from Curriculum

Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks

Driving Policy Transfer via Modularity and Abstraction

Benchmarking Reinforcement Learning Algorithms on Real-World Robots

Deep Semantic Abstractions of Everyday Human Activities: On Commonsense Representations of Human Interactions

Learning Transferable Policies for Monocular Reactive MAV Control

Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling

CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots

Learning Semantic Traversability with Egocentric Video and Automated Annotation Strategy

Few-Shot Panoptic Segmentation With Foundation Models

CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation

CodedVO: Coded Visual Odometry

KVN: Keypoints Voting Network with Differentiable RANSAC for Stereo Pose Estimation

Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark

Estimation of continuous environments by robot swarms: Correlated networks and decision-making

Pose Estimation for Robot Manipulators via Keypoint Optimization and Sim-to-Real Transfer

AORRTC: Almost-Surely Asymptotically Optimal Planning with RRT-Connect

FloodReasonBench: Benchmarking VLM Reasoning Segmentation for Embodied Flood Response at the Edge

MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery