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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2,581 to 2,640 of 3,243

Modelling Uncertainty in Deep Learning for Camera Relocalization
Alex Kendall, Roberto Cipolla
cs.CVcs.ROarXiv:1509.05909v22015
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair, Vitchyr Pong, Murtaza Dalal +3
cs.LGcs.CVcs.ROarXiv:1807.04742v22018
BehaviorWorldGen: Closing the Loop between Action Models and World Simulators via Controllable Behavior-Aware Structured World Generation
Jiaqi Wang, Zhuo Zhang, Haining Guan +15
cs.ROcs.CVarXiv:2608.22187v12026
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak, Pulkit Agrawal, Alexei A. Efros +1
cs.LGcs.AIcs.CVarXiv:1705.05363v12017
Variance-Guided Spatial Attention Fusion for Robust End-to-End Driving under Asymmetric Sensor Degradation
Weizhi Tao, Zengwang Jin, Xiao Wang +1
cs.CVcs.ROarXiv:2608.24366v12026
An LSTM Network for Highway Trajectory Prediction
Florent Altché, Arnaud de La Fortelle
cs.ROcs.LGarXiv:1801.07962v12018
Interpreting Control Latents for System Identification via Conditional Flow Matching
Dingqi Zhang, Ruiqi Zhang, Mark W. Mueller
cs.ROarXiv:2608.23887v12026
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets
Junru Gu, Chen Sun, Hang Zhao
cs.CVcs.ROarXiv:2108.09640v22021
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal, Ashvin Nair, Pieter Abbeel +2
cs.CVcs.AIcs.ROarXiv:1606.07419v22016
TONAV: Task-Oriented Navigation and Action-Velocity Chunk Learning for Articulated Object Quadrupedal Mobile Manipulation
Haoran Lin, Mingyu Yang, Pengfei Qi +6
cs.ROcs.CVarXiv:2608.22296v12026
Coverage Planning for Robotic Tooth Preparation in Densely Constrained Environments
Yunwen Li, Chen Chen, Xiangjie Yan +4
cs.ROarXiv:2608.24155v12026
Trajectory-Level Continuous Action Representation for Robotic Manipulation
Tong Yang, Jingkai Jia, Yuecheng Xu +3
cs.ROarXiv:2608.24111v12026
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments
Jacob Krantz, Erik Wijmans, Arjun Majumdar +2
cs.CVcs.CLcs.ROarXiv:2004.02857v22020
Resilience Matters for Embodied Agents System: New Metrics, Systematic Evaluation, and Optimization
Yapeng Liu, Yuanzhao Zhai, Xudong Gong +4
cs.ROcs.AIarXiv:2608.23839v12026
Pointing-VLA: Typed Spatial Grounding Interfaces for Vision-Language-Action Manipulation
Xiwen Chen, Zelin Li, Zhiruo Zhou +3
cs.ROcs.AIcs.CVarXiv:2608.23138v12026
Dynamical System-Based Imitation Learning and Neuroadaptive Control for Trajectory Recovery in Autonomous Ships
Yeyson A. Becerra-Mora, José Ángel Acosta
eess.SYcs.ROarXiv:2608.23924v12026
CoDrift: Compositional Drifting for Offline Reinforcement Learning
Xiewei Ni, Ruofeng Mei, Xiangyu Xu
cs.LGcs.ROarXiv:2608.23939v12026
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms
Lihong Li, Wei Chu, John Langford +1
cs.LGcs.AIcs.ROarXiv:1003.5956v22010
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn, Tianhe Yu, Tianhao Zhang +2
cs.LGcs.AIcs.CVarXiv:1709.04905v12017
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Wei Zhan, Liting Sun, Di Wang +8
cs.ROcs.CVcs.LGarXiv:1910.03088v12019
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego +2
cs.CVcs.LGcs.ROarXiv:1804.01310v12018
Think Only When Needed: Prompt-Authority Control for Selective Slow-Path Intervention in Vision-Language-Action Manipulation
Zhiruo Zhou, Zelin Li, Xiwen Chen +4
cs.ROcs.AIcs.CVarXiv:2608.23224v12026
An Empirical Evaluation of Deep Learning on Highway Driving
Brody Huval, Tao Wang, Sameep Tandon +10
cs.ROcs.CVarXiv:1504.01716v32015
GaussianWAM: Distilling Geometry and Semantics from 3D Gaussian Fields into World-Action Models
Zijian Zhang, Yuqing Jiang, Weitao Zhou +6
cs.ROarXiv:2608.24714v12026
Robust Slip Detection and Material Classification via Spatiotemporal Transformers on a Uniformly-Illuminated Visuo-Tactile Sensor
Ziyang Ma, Yuhao Sun, Zichen Ai +2
cs.ROarXiv:2608.24162v12026
Fast Marching Tree: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions
Lucas Janson, Edward Schmerling, Ashley Clark +1
cs.ROarXiv:1306.3532v42013
TrAct: Bridging Robot Control and Visual Prediction with Visual Tracks
Zhi Cao, Howard Ji, Kevin Zhang +4
cs.ROarXiv:2608.24101v12026
The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception
Alex Zihao Zhu, Dinesh Thakur, Tolga Ozaslan +3
cs.ROarXiv:1801.10202v22018
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett, Yu Fan Chen, Jonathan P. How
cs.ROcs.AIcs.LGarXiv:1805.01956v12018
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Boyuan Chen, Diego Marti Monso, Yilun Du +3
cs.LGcs.CVcs.ROarXiv:2407.01392v42024
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
Yevgen Chebotar, Ankur Handa, Viktor Makoviychuk +4
cs.ROcs.LGarXiv:1810.05687v42018
Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta +2
cs.CVcs.AIcs.LGarXiv:2004.05155v12020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu, Xiao Ma, Jiawei Ren +2
cs.CVcs.LGcs.ROarXiv:2005.08514v22020
Visual Language Maps for Robot Navigation
Chenguang Huang, Oier Mees, Andy Zeng +1
cs.ROcs.AIcs.CLarXiv:2210.05714v42022
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
Cheng Chi, Zhenjia Xu, Chuer Pan +5
cs.ROarXiv:2402.10329v32024
GAIA-1: A Generative World Model for Autonomous Driving
Anthony Hu, Lloyd Russell, Hudson Yeo +5
cs.CVcs.AIcs.ROarXiv:2309.17080v12023
Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency
Brian Zhu, Momen Khalil, E Harrison +17
cs.ROcs.LGarXiv:2608.23831v12026
GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture
GigaBrain Team, Angen Ye, Axiang Sun +56
cs.ROarXiv:2608.15875v12026
Behavior Trees in Robotics and AI: An Introduction
Michele Colledanchise, Petter Ögren
cs.ROcs.AIarXiv:1709.00084v62017
Fiber Bragg Grating Whiskers for Bioinspired Hydrodynamic Perception on Underwater Robots
Hao Li, Tianyu Tu, Siyue Yao +7
cs.ROarXiv:2608.24724v12026
Do Robotic World Models Really Follow Actions? Diagnosing and Aligning Action-Conditioned Generation for Policy Learning
Sixiang Chen, Jiaming Liu, Jixian Wu +7
cs.ROcs.CVarXiv:2608.24885v12026
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
Matthias Plappert, Marcin Andrychowicz, Alex Ray +9
cs.LGcs.AIcs.ROarXiv:1802.09464v22018
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
Antoni Rosinol, Marcus Abate, Yun Chang +1
cs.ROcs.CVarXiv:1910.02490v32019
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
Xin Wang, Qiuyuan Huang, Asli Celikyilmaz +5
cs.CVcs.AIcs.CLarXiv:1811.10092v22018
Latent Action as Intention Enables Efficient Future Imagination for World Action Models
Xiang Li, Yupeng Zheng, Songen Gu +10
cs.ROarXiv:2608.24882v12026
$(\text{DNN})^2$: Doubly Non-Negative Relaxations for Deep Neural Networks
Hanna Jiamei Zhang, Alan Papalia, Michael Everett +1
cs.LGcs.ROeess.SYarXiv:2608.24743v12026
Residual Reinforcement Learning for Robot Control
Tobias Johannink, Shikhar Bahl, Ashvin Nair +6
cs.ROcs.LGarXiv:1812.03201v22018
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning
Andy Zeng, Shuran Song, Stefan Welker +3
cs.ROcs.AIcs.CVarXiv:1803.09956v32018
Vehicle Detection from 3D Lidar Using Fully Convolutional Network
Bo Li, Tianlei Zhang, Tian Xia
cs.CVcs.ROarXiv:1608.07916v12016
Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach
Douglas Morrison, Peter Corke, Jürgen Leitner
cs.ROarXiv:1804.05172v22018
NeuralParker: A Reinforcement Learning Planner for Irregular Parking Environments
Zihan Wang, Bai Huang, Yang Guan +4
cs.ROcs.LGarXiv:2608.24485v12026
CARO: Contact-Agnostic Residual Observation for Zero-Shot Robust Quadruped Locomotion
Zihan Yang, Shixuan Han, Kexin Guo +1
cs.ROarXiv:2608.24217v12026
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
Anusha Nagabandi, Ignasi Clavera, Simin Liu +4
cs.LGcs.ROstat.MLarXiv:1803.11347v62018
NVIDIA Cosmos-H-Dreams: Real-Time Generative Physics Simulation for Surgical Robotics
Javier Gamazo Tejero, Lukas Zbinden, Keyur Sheth +7
cs.ROarXiv:2608.24199v12026
Trusted Polytopic Action Sets for Fast Planning in Underactuated Systems
Akshay Jaitly, Siavash Farzan
eess.SYcs.ROarXiv:2608.24019v12026
Fiber Optic Sensing Glove for High Performance Dexterous Manipulation Capture
J. D. Peiffer, Taylor Niehues, Li Guan +2
cs.ROarXiv:2608.24572v12026
A Durable Vision-Based Tactile Fingertip for Robotic Manipulation
F. Richard Cottrell, Megha H. Tippur, Edward H. Adelson
cs.ROarXiv:2608.24242v12026
EgoActor: Grounding Task Planning into Spatial-aware Egocentric Actions for Humanoid Robots via Visual-Language Models
Yu Bai, MingMing Yu, Chaojie Li +3
cs.ROcs.CVarXiv:2602.04515v12026
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
Bo Liu, Yuqian Jiang, Xiaohan Zhang +4
cs.AIcs.ROarXiv:2304.11477v32023
LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation
Bo Miao, Weijia Liu, Jun Luo +8
cs.CVcs.ROarXiv:2602.02220v22026

Robotics

Modelling Uncertainty in Deep Learning for Camera Relocalization

Visual Reinforcement Learning with Imagined Goals

BehaviorWorldGen: Closing the Loop between Action Models and World Simulators via Controllable Behavior-Aware Structured World Generation

Curiosity-driven Exploration by Self-supervised Prediction

Variance-Guided Spatial Attention Fusion for Robust End-to-End Driving under Asymmetric Sensor Degradation

An LSTM Network for Highway Trajectory Prediction

Interpreting Control Latents for System Identification via Conditional Flow Matching

DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets

Learning to Poke by Poking: Experiential Learning of Intuitive Physics

TONAV: Task-Oriented Navigation and Action-Velocity Chunk Learning for Articulated Object Quadrupedal Mobile Manipulation

Coverage Planning for Robotic Tooth Preparation in Densely Constrained Environments

Trajectory-Level Continuous Action Representation for Robotic Manipulation

Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments

Resilience Matters for Embodied Agents System: New Metrics, Systematic Evaluation, and Optimization

Pointing-VLA: Typed Spatial Grounding Interfaces for Vision-Language-Action Manipulation

Dynamical System-Based Imitation Learning and Neuroadaptive Control for Trajectory Recovery in Autonomous Ships

CoDrift: Compositional Drifting for Offline Reinforcement Learning

Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms

One-Shot Visual Imitation Learning via Meta-Learning

INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

Think Only When Needed: Prompt-Authority Control for Selective Slow-Path Intervention in Vision-Language-Action Manipulation

An Empirical Evaluation of Deep Learning on Highway Driving

GaussianWAM: Distilling Geometry and Semantics from 3D Gaussian Fields into World-Action Models

Robust Slip Detection and Material Classification via Spatiotemporal Transformers on a Uniformly-Illuminated Visuo-Tactile Sensor

Fast Marching Tree: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions

TrAct: Bridging Robot Control and Visual Prediction with Visual Tracks

The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience

Learning to Explore using Active Neural SLAM

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction

Visual Language Maps for Robot Navigation

Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

GAIA-1: A Generative World Model for Autonomous Driving

Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency

GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture

Behavior Trees in Robotics and AI: An Introduction

Fiber Bragg Grating Whiskers for Bioinspired Hydrodynamic Perception on Underwater Robots

Do Robotic World Models Really Follow Actions? Diagnosing and Aligning Action-Conditioned Generation for Policy Learning

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

Latent Action as Intention Enables Efficient Future Imagination for World Action Models

$(\text{DNN})^2$: Doubly Non-Negative Relaxations for Deep Neural Networks

Residual Reinforcement Learning for Robot Control

Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning

Vehicle Detection from 3D Lidar Using Fully Convolutional Network

Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach

NeuralParker: A Reinforcement Learning Planner for Irregular Parking Environments

CARO: Contact-Agnostic Residual Observation for Zero-Shot Robust Quadruped Locomotion

Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

NVIDIA Cosmos-H-Dreams: Real-Time Generative Physics Simulation for Surgical Robotics

Trusted Polytopic Action Sets for Fast Planning in Underactuated Systems

Fiber Optic Sensing Glove for High Performance Dexterous Manipulation Capture

A Durable Vision-Based Tactile Fingertip for Robotic Manipulation

EgoActor: Grounding Task Planning into Spatial-aware Egocentric Actions for Humanoid Robots via Visual-Language Models

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation