Robotics

Papers filed under cs.RO on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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2,941 to 3,000 of 3,248

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation
Jinghui Lu, Jiayi Guan, Zhijian Huang +47
cs.CVcs.CLcs.ROarXiv:2604.18486v32026
Rethinking Demonstration Unlearning in Imitation Learning for Robotics
Jiazhuo Li, Yu Zhang, Yiming Fei +4
cs.ROcs.LGarXiv:2608.20784v12026
Cortex 2.0: Grounding World Models in Real-World Industrial Deployment
Adriana Aida, Walid Amer, Katarina Bankovic +25
cs.ROcs.AIarXiv:2604.20246v12026
UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling
Boyu Chen, Yi Chen, Lu Qiu +3
cs.ROcs.AIarXiv:2604.19734v12026
dWorldEval: Scalable Robotic Policy Evaluation via Discrete Diffusion World Model
Yaxuan Li, Zhongyi Zhou, Yefei Chen +2
cs.ROarXiv:2604.22152v12026
OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism
Xiangyu Li, Huaizhi Tang, Xin Ding +3
cs.ROcs.AIarXiv:2603.14371v22026
SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control
Ruihua Han, Rui Gao, Zhe Liu +6
cs.ROcs.AIarXiv:2608.21175v12026
Neural-Primitive: An Efficient End-to-end Local Planner with Primitive-based Imitation Learning for Autonomous Flight
Zhitao Liu, Guangtong Xu, Zihan Wang +3
cs.ROcs.AIarXiv:2608.20948v12026
Anatomy-Informed Neural Networks: Encoding Anatomic Priors in Loss and Architecture, with an SE(3) Formulation of Guidewire-Induced Aortoiliac Deformation
David P. Stonko
cs.AIcs.CVcs.ROarXiv:2608.21332v12026
Unified Branch-and-Bound Search for the Steiner Traveling Salesman Problem on Graphs of Convex Sets
Jingtao Tang, Hang Ma
cs.AIcs.ROarXiv:2608.21319v12026
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn, Ian Goodfellow, Sergey Levine
cs.LGcs.AIcs.CVarXiv:1605.07157v42016
Graph-Operator World Models for Morphology-Parameter Generalization in Continuous Control
Xu Yang, Yiqin Yang, Qianchuan Zhao
cs.AIcs.ROarXiv:2608.20936v12026
ForeTime-VLA: Causal Future-Token Distillation from a World Action Model for Conveyor-Belt Manipulation
Siyuan Ma, Yutian Zhang, Boshi Zhang +4
cs.AIcs.ROarXiv:2608.20735v12026
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Benjamin Wilson, William Qi, Tanmay Agarwal +10
cs.CVcs.AIcs.LGarXiv:2301.00493v12023
A Generalist Agent
Scott Reed, Konrad Zolna, Emilio Parisotto +17
cs.AIcs.CLcs.LGarXiv:2205.06175v32022
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
Matthias Müller, Adel Bibi, Silvio Giancola +2
cs.CVcs.ROarXiv:1803.10794v12018
Learning robust perceptive locomotion for quadrupedal robots in the wild
Takahiro Miki, Joonho Lee, Jemin Hwangbo +3
cs.ROarXiv:2201.08117v12022
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration, Abby O'Neill, Abdul Rehman +291
cs.ROarXiv:2310.08864v92023
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
Yue Wang, Vitor Guizilini, Tianyuan Zhang +3
cs.CVcs.AIcs.LGarXiv:2110.06922v12021
Robots that can adapt like animals
Antoine Cully, Jeff Clune, Danesh Tarapore +1
cs.ROcs.AIcs.LGarXiv:1407.3501v42014
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar, Jesse Thomason, Daniel Gordon +5
cs.CVcs.AIcs.CLarXiv:1912.01734v22019
Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation
Simone Mosco, Daniel Fusaro, Alberto Pretto
cs.CVcs.ROarXiv:2604.23604v12026
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang, Danfei Xu, Yuke Zhu +4
cs.CVcs.ROarXiv:1901.04780v12019
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain, Amir R. Zamir, Silvio Savarese +1
cs.CVcs.LGcs.NEarXiv:1511.05298v32015
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours
Lerrel Pinto, Abhinav Gupta
cs.LGcs.CVcs.ROarXiv:1509.06825v12015
Recovering Hidden Reward in Diffusion-Based Policies
Yanbiao Ji, Qiuchang Li, Yuting Hu +7
cs.ROarXiv:2605.00623v22026
Learning to Track at 100 FPS with Deep Regression Networks
David Held, Sebastian Thrun, Silvio Savarese
cs.CVcs.AIcs.LGarXiv:1604.01802v22016
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz +1
cs.AIcs.ROarXiv:1802.06070v62018
RigidFormer: Learning Rigid Dynamics using Transformers
Zhiyang Dou, Minghao Guo, Haixu Wu +3
cs.CVcs.AIcs.GRarXiv:2605.09196v12026
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen +3
cs.CVcs.AIcs.LGarXiv:1804.08328v12018
Zero-Shot Sim-to-Real Robot Learning: A Dexterous Manipulation Study on Reactive Catching
Kejia Ren, Gaotian Wang, Andrew S. Morgan +1
cs.ROarXiv:2605.09789v12026
CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models
Wenxuan Song, Han Zhao, Fuhao Li +7
cs.CVcs.ROarXiv:2605.10903v12026
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
Jeffrey Mahler, Jacky Liang, Sherdil Niyaz +5
cs.ROarXiv:1703.09312v32017
Inner Monologue: Embodied Reasoning through Planning with Language Models
Wenlong Huang, Fei Xia, Ted Xiao +14
cs.ROcs.AIcs.CLarXiv:2207.05608v12022
Solving Rubik's Cube with a Robot Hand
OpenAI, Ilge Akkaya, Marcin Andrychowicz +16
cs.LGcs.AIcs.CVarXiv:1910.07113v12019
A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking
Jianlin Ye, Christos Kyrkou, Panayiotis Kolios
cs.ROcs.AIarXiv:2605.15779v12026
Planning-oriented Autonomous Driving
Yihan Hu, Jiazhi Yang, Li Chen +13
cs.CVcs.ROarXiv:2212.10156v22022
DexHoldem: Playing Texas Hold'em with Dexterous Embodied System
Feng Chen, Tianzhe Chu, Li Sun +6
cs.ROcs.AIarXiv:2605.18727v12026
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Saurabh Gupta, Ross Girshick, Pablo Arbeláez +1
cs.CVcs.ROarXiv:1407.5736v12014
Minimalist Visual Inertial Odometry
Francesco Pasti, Jeremy Klotz, Nicola Bellotto +1
cs.ROcs.CVcs.LGarXiv:2605.19990v12026
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua, Roberto Calandra, Rowan McAllister +1
cs.LGcs.AIcs.ROarXiv:1805.12114v22018
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
Shixiang Gu, Ethan Holly, Timothy Lillicrap +1
cs.ROcs.AIcs.LGarXiv:1610.00633v22016
Learning A Unified Risk Map for Autonomous Driving in Partially Observable Environments
Jie Jia, Yaofeng Su, Zeyu Bao +4
cs.ROarXiv:2605.22189v12026
Can Predicted Dynamics Exist in the Physical World?
Barak Or
cs.ROcs.AIarXiv:2606.00089v22026
Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems
Barak Or
cs.ROcs.AIarXiv:2606.00090v12026
Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation
Aviral Chharia, Fernando De la Torre
cs.CVcs.GRcs.ROarXiv:2605.25220v12026
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy +8
cs.CVcs.ROarXiv:1911.02620v12019
Octo: An Open-Source Generalist Robot Policy
Octo Model Team, Dibya Ghosh, Homer Walke +16
cs.ROcs.LGarXiv:2405.12213v22024
Robot Operating System 2: Design, Architecture, and Uses In The Wild
Steve Macenski, Tully Foote, Brian Gerkey +2
cs.ROarXiv:2211.07752v12022
Learning Quadrupedal Locomotion over Challenging Terrain
Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen +2
cs.ROcs.LGeess.SYarXiv:2010.11251v12020
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor +8
cs.LGcs.AIcs.CVarXiv:1806.10293v32018
A Survey of Deep Learning Techniques for Autonomous Driving
Sorin Grigorescu, Bogdan Trasnea, Tiberiu Cocias +1
cs.LGcs.ROarXiv:1910.07738v22019
Generation and Comprehension of Unambiguous Object Descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev +3
cs.CVcs.CLcs.LGarXiv:1511.02283v32015
Frequency-Guided Action Diffusion via Sub-Frequency Manifold Traversal
Junlin Wang
cs.ROcs.LGarXiv:2605.27919v12026
Objaverse: A Universe of Annotated 3D Objects
Matt Deitke, Dustin Schwenk, Jordi Salvador +7
cs.CVcs.AIcs.GRarXiv:2212.08051v12022
Code as Policies: Language Model Programs for Embodied Control
Jacky Liang, Wenlong Huang, Fei Xia +5
cs.ROarXiv:2209.07753v42022
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba +1
cs.ROeess.SYarXiv:1710.06537v32017
Zero-1-to-3: Zero-shot One Image to 3D Object
Ruoshi Liu, Rundi Wu, Basile Van Hoorick +3
cs.CVcs.GRcs.ROarXiv:2303.11328v12023
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan, Xi Chen, Rein Houthooft +2
cs.LGcs.AIcs.ROarXiv:1604.06778v32016
Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes
Chenxi Tao, Seung-Kyum Choi
cs.CVcs.AIcs.ROarXiv:2605.30581v22026

Robotics

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation

Rethinking Demonstration Unlearning in Imitation Learning for Robotics

Cortex 2.0: Grounding World Models in Real-World Industrial Deployment

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

dWorldEval: Scalable Robotic Policy Evaluation via Discrete Diffusion World Model

OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism

SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control

Neural-Primitive: An Efficient End-to-end Local Planner with Primitive-based Imitation Learning for Autonomous Flight

Anatomy-Informed Neural Networks: Encoding Anatomic Priors in Loss and Architecture, with an SE(3) Formulation of Guidewire-Induced Aortoiliac Deformation

Unified Branch-and-Bound Search for the Steiner Traveling Salesman Problem on Graphs of Convex Sets

Unsupervised Learning for Physical Interaction through Video Prediction

Graph-Operator World Models for Morphology-Parameter Generalization in Continuous Control

ForeTime-VLA: Causal Future-Token Distillation from a World Action Model for Conveyor-Belt Manipulation

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

A Generalist Agent

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

Learning robust perceptive locomotion for quadrupedal robots in the wild

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

Robots that can adapt like animals

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours

Recovering Hidden Reward in Diffusion-Based Policies

Learning to Track at 100 FPS with Deep Regression Networks

Diversity is All You Need: Learning Skills without a Reward Function

RigidFormer: Learning Rigid Dynamics using Transformers

Taskonomy: Disentangling Task Transfer Learning

Zero-Shot Sim-to-Real Robot Learning: A Dexterous Manipulation Study on Reactive Catching

CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models

Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

Inner Monologue: Embodied Reasoning through Planning with Language Models

Solving Rubik's Cube with a Robot Hand

A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking

Planning-oriented Autonomous Driving

DexHoldem: Playing Texas Hold'em with Dexterous Embodied System

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

Minimalist Visual Inertial Odometry

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

Learning A Unified Risk Map for Autonomous Driving in Partially Observable Environments

Can Predicted Dynamics Exist in the Physical World?

Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems

Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation

Argoverse: 3D Tracking and Forecasting with Rich Maps

Octo: An Open-Source Generalist Robot Policy

Robot Operating System 2: Design, Architecture, and Uses In The Wild

Learning Quadrupedal Locomotion over Challenging Terrain

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

A Survey of Deep Learning Techniques for Autonomous Driving

Generation and Comprehension of Unambiguous Object Descriptions

Frequency-Guided Action Diffusion via Sub-Frequency Manifold Traversal

Objaverse: A Universe of Annotated 3D Objects

Code as Policies: Language Model Programs for Embodied Control

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization

Zero-1-to-3: Zero-shot One Image to 3D Object

Benchmarking Deep Reinforcement Learning for Continuous Control

Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes