机器人 / 具身智能

Robust Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles

Shahab Heshmati-alamdari, Alexandros Nikou, Dimos V. Dimarogonas

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

Comments Accepted to the IEEE Conference on Decision and Control (CDC) 2019

Conditional Generative Neural System for Probabilistic Trajectory Prediction

Jiachen Li, Hengbo Ma, Masayoshi Tomizuka

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

Comments Camera ready for IROS 2019

Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles

Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha Srinivasa

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

Comments Accepted at International Conference on Automated Planning and Scheduling (ICAPS) 2019

MLR (Memory, Learning and Recognition): A General Cognitive Model -- applied to Intelligent Robots and Systems Control

Aras R. Dargazany

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

The Replica Dataset: A Digital Replica of Indoor Spaces

Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, Anton Clarkson, Mingfei Yan, Brian Budge, Yajie Yan, Xiaqing Pan, June Yon, Yuyang Zou, Kimberly Leon, Nigel Carter, Jesus Briales, Tyler Gillingham, Elias Mueggler, Luis Pesqueira, Manolis Savva, Dhruv Batra, Hauke M. Strasdat, Renzo De Nardi, Michael Goesele, Steven Lovegrove, Richard Newcombe

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

Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation Using Factor Graphs

Ross Hartley, Maani Ghaffari Jadidi, Lu Gan, Jiunn-Kai Huang, Jessy W. Grizzle, Ryan M. Eustice

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

Comments Detailed derivations are provided in the supplementary material document listed under "Ancillary files"

Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies

Alexander Sax, Bradley Emi, Amir R. Zamir, Leonidas Guibas, Silvio Savarese, Jitendra Malik

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

Comments See project website, demos, and code at http://perceptual.actor

Towards Plan Transformations for Real-World Pick and Place Tasks

Gayane Kazhoyan, Arthur Niedzwiecki, Michael Beetz

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

Stable bin packing of non-convex 3D objects with a robot manipulator

Fan Wang, Kris Hauser

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

Learning Instance Segmentation by Interaction

Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik

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

Comments Website at https://pathak22.github.io/seg-by-interaction/

Real-World Evolution Adapts Robot Morphology and Control to Hardware Limitations

Tønnes F. Nygaard, Charles P. Martin, Eivind Samuelsen, Jim Torresen, Kyrre Glette

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

Comments Accepted to the 2018 Genetic and Evolutionary Computation Conference (GECCO)

HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty

Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee

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

Towards Self-organized Large-Scale Shape Formation: A Cognitive Agent-Based Computing Approach

Yasir R. Darr, Muaz A. Niazi

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

Comments 40 pages

Spatial Pyramid Context-Aware Moving Object Detection and Tracking for Full Motion Video and Wide Aerial Motion Imagery

Mahdieh Poostchi

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

Comments PhD Dissertation (162 pages)

A New Data Source for Inverse Dynamics Learning

Daniel Kappler, Franziska Meier, Nathan Ratliff, Stefan Schaal

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

Comments IROS 2017

CORe50: a New Dataset and Benchmark for Continuous Object Recognition

Vincenzo Lomonaco, Davide Maltoni

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

A Dataset for Developing and Benchmarking Active Vision

Phil Ammirato, Patrick Poirson, Eunbyung Park, Jana Kosecka, Alexander C. Berg

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

Comments To appear at ICRA 2017

An affective computational model for machine consciousness

Rohitash Chandra

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

Comments under review

Technical Report: Optimal Surveillance of Dynamic Parades using Teams of Aerial Robots

Kostas Alexis

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

The Freiburg Groceries Dataset

Philipp Jund, Nichola Abdo, Andreas Eitel, Wolfram Burgard

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

Comments Link to dataset: http://www2.informatik.uni-freiburg.de/~eitel/freiburg_groceries_dataset.html Link to code: https://github.com/PhilJd/freiburg_groceries_dataset

End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks

Peter Ondruska, Julie Dequaire, Dominic Zeng Wang, Ingmar Posner

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

Folding Deformable Objects using Predictive Simulation and Trajectory Optimization

Yinxiao Li, Yonghao Yue, Danfei Xu, Eitan Grinspun, Peter Allen

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

Comments 8 pages, 9 figures, Proceedings of IROS 2015

Anytime Point-Based Approximations for Large POMDPs

J. Pineau, G. Gordon, S. Thrun

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

Journal ref Journal Of Artificial Intelligence Research, Volume 27, pages 335-380, 2006

SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors

SPLIT：通过潜在算术分离物理接触以实现基于图像的触觉传感器

Wadhah Zai El Amri, Nicolás Navarro-Guerrero

机构 * Leibniz Universität Hannover, L3S Research Center（莱布尼茨汉诺威大学，L3S研究所） 纠错

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

AI总结 本文提出SPLIT方法，通过潜在空间算术分离接触几何与传感器光学特性，实现触觉传感器的高效模拟，支持多传感器迁移和双向模拟，提升机器人触觉感知研究效率。

Comments Accepted to Elsevier Robotics and Autonomous Systems Journal

PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments

PAC-Bayes 控制：学习能够证明在新环境中泛化的能力的策略

Anirudha Majumdar, Alec Farid, Anoopkumar Sonar

机构 * Department of Mechanical and Aerospace Engineering（1,2 机械与航空航天工程系） ； Department of Computer Science Princeton University（3 计算机科学系 纽约大学普林斯顿分校） 纠错

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)

AI总结 本文提出了一种基于PAC-Bayes框架的机器人策略学习方法，通过在新环境中泛化能力的理论分析，为机器人系统提供强泛化保证。

Comments Extended version of paper presented at the 2018 Conference on Robot Learning (CoRL)

Situationally-Aware Dynamics Learning

情境感知动态学习

Alejandro Murillo-Gonzalez, Lantao Liu

机构 * Luddy School of Informatics, Computing, and Engineering, Indiana University（印第安纳大学卢迪信息学、计算与工程学院） 纠错

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

AI总结 本文提出了一种在线学习隐状态表示的框架，通过建模未观测参数对转移动态和奖励结构的影响，提升机器人在复杂环境中的适应性和安全性。

Journal ref The International Journal of Robotics Research (IJRR) 2026

Sensory-Motor Control with Large Language Models via Iterative Policy Refinement

通过迭代策略优化实现大语言模型的感官-运动控制

Jônata Tyska Carvalho, Stefano Nolfi

机构 * Federal University of Santa Catarina (UFSC)（圣卡塔琳娜联邦大学） ； Institute of Cognitive Sciences and Technologies (ISTC-CNR)（认知科学与技术研究所） 纠错

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

AI总结 本文提出通过迭代策略优化，利用大语言模型控制具身代理，结合符号知识与子符号感官运动数据实现高效控制。

Comments Final version of the article accepted for publication on Scientific Reports. 29 pages (13 pages are from appendix), 8 figures, 2 tables, code for experiments replication and supplementary material provided at https://github.com/jtyska/llm-robotics-article/

WebATLAS: An LLM Agent with Experience-Driven Memory and Action Simulation

WebATLAS: 一种基于经验驱动记忆和动作模拟的LLM代理

Jiali Cheng, Anjishnu Kumar, Roshan Lal, Rishi Rajasekaran, Hani Ramezani, Omar Zia Khan, Oleg Rokhlenko, Sunny Chiu-Webster, Gang Hua, Hadi Amiri

机构 * University of Massachusetts Lowell（马萨诸塞大学洛威尔分校） ； Amazon Alexa AI（亚马逊Alexa人工智能） 纠错

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

AI总结 WebATLAS通过经验驱动的记忆和前瞻动作模拟，实现无需微调的自主网页导航，成功率达63%。

Comments 9 pages, NeurIPS 2025 Workshop on Language Agents and World Models

Learning to Drive Anywhere with Model-Based Reannotation

基于模型的重新标注：学习在任何地方驾驶

Noriaki Hirose, Lydia Ignatova, Kyle Stachowicz, Catherine Glossop, Sergey Levine, Dhruv Shah

机构 * Department of Electrical Engineering and Computer Sciences , University of California, Berkeley, CA USA（电气工程与计算机科学系，加州大学伯克利分校） ； Toyota Motor North America, Inc（丰田北美公司） ； Department of Electrical and Computer Engineering, Princeton University（电气与计算机工程系，普林斯顿大学） 纠错

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

AI总结 本文提出基于模型的重新标注框架，利用被动数据训练出高效导航策略，实现机器人在复杂环境中的长距离稳健导航。

Comments 9 pages, 8 figures, 6 tables

Journal ref IEEE Robotics and Automation Letters 2025

Sim2Dust: Mastering Dynamic Waypoint Tracking on Granular Media

Andrej Orsula, Matthieu Geist, Miguel Olivares-Mendez, Carol Martinez

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

Comments Accepted for publication at the 2025 International Conference on Space Robotics (iSpaRo) | The source code is available at https://github.com/AndrejOrsula/space_robotics_bench