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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1,921 to 1,980 of 3,243

Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari +2
cs.CVcs.AIcs.LGarXiv:1812.00971v22018
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
Sanjana Srivastava, Chengshu Li, Michael Lingelbach +11
cs.ROcs.AIcs.CVarXiv:2108.03332v12021
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study
Meixin Zhu, Xuesong Wang, Andrew P. Tarko +1
cs.ROcs.AIarXiv:1811.06395v12018
Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty
Edward Johns, Stefan Leutenegger, Andrew J. Davison
cs.ROcs.CVcs.LGarXiv:1608.02239v12016
Coordinated Motion Planning for Multi-Arm Systems via Iterative LQ Games
Junyoung Kim, Hanwen Ren, Lei Zhang +1
cs.ROarXiv:2608.27726v12026
Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery
Margarita Grinvald, Fadri Furrer, Tonci Novkovic +4
cs.ROcs.CVarXiv:1903.00268v22019
GelSlim3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger
Ian Taylor, Siyuan Dong, Alberto Rodriguez
cs.ROarXiv:2103.12269v12021
LIV: Language-Image Representations and Rewards for Robotic Control
Yecheng Jason Ma, William Liang, Vaidehi Som +4
cs.ROcs.AIcs.LGarXiv:2306.00958v12023
FIESTA: Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots
Luxin Han, Fei Gao, Boyu Zhou +1
cs.ROarXiv:1903.02144v32019
ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
Clemens Eppner, Arsalan Mousavian, Dieter Fox
cs.ROcs.CVarXiv:2011.09584v12020
Plan Along the Way: Event-Triggered Foundation-Model Planning for TAMP Execution in Partially Observable Manipulation
Puru Ojha, Narendhiran Vijayakumar, Nav Singhal +2
cs.ROarXiv:2608.28075v12026
Stay Seated: Learning Omnidirectional Humanoid Locomotion on a Passive Mobile Chair with Casters
Kango Yanagida, Kazuki Miyazawa, Takato Horii
cs.ROarXiv:2608.28090v12026
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
Kendall Lowrey, Aravind Rajeswaran, Sham Kakade +2
cs.LGcs.AIcs.ROarXiv:1811.01848v32018
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
Yufei Wang, Zhou Xian, Feng Chen +6
cs.ROcs.AIcs.CVarXiv:2311.01455v32023
Category-Level Articulated Object Pose Estimation
Xiaolong Li, He Wang, Li Yi +3
cs.CVcs.AIcs.ROarXiv:1912.11913v22019
MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
Riku Murai, Eric Dexheimer, Andrew J. Davison
cs.CVcs.ROarXiv:2412.12392v22024
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model
Paul Christiano, Zain Shah, Igor Mordatch +5
cs.ROcs.AIcs.LGarXiv:1610.03518v12016
A soft thumb-sized vision-based sensor with accurate all-round force perception
Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius
cs.ROcs.CVcs.LGarXiv:2111.05934v12021
Deep Learning for Tactile Understanding From Visual and Haptic Data
Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker +1
cs.ROcs.CVcs.LGarXiv:1511.06065v22015
Contact-Guided Exploration for Non-Prehensile Locomanipulation with Multi-Critic RL
Simone Tolomei, Mayank Mittal, Franco Angelini +3
cs.ROarXiv:2608.28140v12026
Reinforcement Learning With Temporal Logic Rewards
Xiao Li, Cristian-Ioan Vasile, Calin Belta
cs.AIcs.ROarXiv:1612.03471v22016
A review on locomotion robophysics: the study of movement at the intersection of robotics, soft matter and dynamical systems
Jeffrey Aguilar, Tingnan Zhang, Feifei Qian +11
cs.ROcond-mat.softnlin.AOarXiv:1602.04712v12016
RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection
Lue Fan, Xuan Xiong, Feng Wang +2
cs.CVcs.ROarXiv:2103.10039v12021
Residual Policy Learning
Tom Silver, Kelsey Allen, Josh Tenenbaum +1
cs.ROcs.LGarXiv:1812.06298v22018
DeicticVLA: Unifying Instruction Modes Based on Language and Deictic Gestures in a Single VLA
Kango Yanagida, Tatsuya Aoki, Yuichiro Yoshikawa +1
cs.ROcs.CVarXiv:2608.28108v12026
Kernelized Movement Primitives
Yanlong Huang, Leonel Rozo, João Silvério +1
cs.ROarXiv:1708.08638v22017
MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction
Bencheng Liao, Shaoyu Chen, Yunchi Zhang +5
cs.CVcs.ROarXiv:2308.05736v22023
A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers
Pin Wang, Ching-Yao Chan, Arnaud de La Fortelle
cs.ROarXiv:1804.07871v12018
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
Tairan He, Zhengyi Luo, Wenli Xiao +4
cs.ROcs.AIcs.LGarXiv:2403.04436v12024
Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning
Nan Wang, Mohit Yadav, Jonathan Wulff +5
cs.ROcs.AIcs.LGarXiv:2608.28578v12026
Communication and Control in Collaborative UAVs: Recent Advances and Future Trends
Shumaila Javaid, Nasir Saeed, Zakria Qadir +4
eess.SPcs.MAcs.ROarXiv:2302.12175v12023
Hierarchical Game-Theoretic Planning for Autonomous Vehicles
Jaime F. Fisac, Eli Bronstein, Elis Stefansson +3
cs.ROcs.AIcs.MAarXiv:1810.05766v12018
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics
Wentao Yuan, Jiafei Duan, Valts Blukis +5
cs.ROcs.AIcs.CVarXiv:2406.10721v12024
DeepReach: A Deep Learning Approach to High-Dimensional Reachability
Somil Bansal, Claire Tomlin
cs.ROcs.AIcs.LGarXiv:2011.02082v12020
MaCoPlanner: LLM-Assisted Manual-Compiled Task Planning with Proactive Safety Verification for Robotic Industrial Panel Operation
Guipeng Xin, Jiahe Xua, Mohammad Deghat +4
cs.ROcs.AIarXiv:2608.28300v12026
Physically Grounded Vision-Language Models for Robotic Manipulation
Jensen Gao, Bidipta Sarkar, Fei Xia +5
cs.ROcs.AIcs.CVarXiv:2309.02561v42023
Training-free Suction Grasp Detection for Deformed Aseptic Cartons Using Vision-Language Models and Geometric Surface Scoring
Marin Maletic, Goran Vasiljevic
cs.ROcs.AIarXiv:2608.28246v12026
Learning from All Vehicles
Dian Chen, Philipp Krähenbühl
cs.ROcs.CVcs.LGarXiv:2203.11934v32022
PanelShield: Verifiable Closed-Loop Safe Planning for Robotic Industrial Panel Operation
Guipeng Xin, Jiahe Xu, Chenhui Wan +3
cs.ROcs.AIarXiv:2608.28305v12026
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
Boyi Liu, Lujia Wang, Ming Liu
cs.ROcs.AIcs.DCarXiv:1901.06455v32019
Spatial-Semantic Reasoning using Large Language Models for Efficient UAV Search Operations
Marin Maletic, Marijana Peti, Tamara Petrovic +1
cs.ROcs.AIarXiv:2608.28270v12026
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
Inkyu Sa, Marija Popovic, Raghav Khanna +7
cs.ROarXiv:1808.00100v22018
Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture
Ashesh Jain, Avi Singh, Hema S Koppula +2
cs.CVcs.AIcs.ROarXiv:1509.05016v12015
Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3
Bilel Benjdira, Taha Khursheed, Anis Koubaa +2
cs.ROcs.CVcs.LGarXiv:1812.10968v12018
Motion Planning around Obstacles with Convex Optimization
Tobia Marcucci, Mark Petersen, David von Wrangel +1
cs.ROarXiv:2205.04422v12022
Localization Requirements for Autonomous Vehicles
Tyler G. R. Reid, Sarah E. Houts, Robert Cammarata +4
cs.ROeess.SPeess.SYarXiv:1906.01061v12019
DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation
Ruicheng Wang, Jialiang Zhang, Jiayi Chen +4
cs.ROcs.CVarXiv:2210.02697v22022
CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT
Roy Gabriel, Nattakorn Kittisut, Jamshid Hassanpour +6
eess.IVcs.AIcs.CVarXiv:2608.27690v12026
PHR-VLA: Planning Horizon Reasoning for Vision-Language-Action Models
Davood Soleymanzadeh, Kaidi Zhang, Zhiyuan Zhang +4
cs.ROcs.AIarXiv:2608.27609v12026
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave, Michiel Hermans, Joni Dambre +1
cs.NEcs.AIcs.ROarXiv:1611.01652v22016
PAMPC: Perception-Aware Model Predictive Control for Quadrotors
Davide Falanga, Philipp Foehn, Peng Lu +1
cs.ROarXiv:1804.04811v22018
When Robots Mishear Us: Mapping the Safety Risks of Voice-Controlled Embodied AI
Sihan Jia, Oliver Lemon
cs.AIcs.CLcs.ROarXiv:2608.28518v12026
AcrossVAM1.0: Particle World Modeling for Text-Assisted Robot Video Prediction
Yafei Zhang, Nan Wu
cs.AIcs.ROarXiv:2608.28491v12026
EPOS: Estimating 6D Pose of Objects with Symmetries
Tomas Hodan, Daniel Barath, Jiri Matas
cs.CVcs.LGcs.ROarXiv:2004.00605v12020
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge
Abhik Singla, Sindhu Padakandla, Shalabh Bhatnagar
cs.ROcs.LGarXiv:1811.03307v12018
Autonomous discovery in the chemical sciences part I: Progress
Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen
q-bio.QMcs.AIcs.ROarXiv:2003.13754v12020
Momentum Control with Hierarchical Inverse Dynamics on a Torque-Controlled Humanoid
Alexander Herzog, Nicholas Rotella, Sean Mason +3
cs.ROarXiv:1410.7284v22014
The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth
Milad Ramezani, Yiduo Wang, Marco Camurri +3
cs.ROarXiv:2003.05691v22020
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
Arunkumar Byravan, Dieter Fox
cs.LGcs.AIcs.CVarXiv:1606.02378v32016
Expressive Whole-Body Control for Humanoid Robots
Xuxin Cheng, Yandong Ji, Junming Chen +3
cs.ROcs.LGarXiv:2402.16796v22024

Robotics

Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study

Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty

Coordinated Motion Planning for Multi-Arm Systems via Iterative LQ Games

Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery

GelSlim3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger

LIV: Language-Image Representations and Rewards for Robotic Control

FIESTA: Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

ACRONYM: A Large-Scale Grasp Dataset Based on Simulation

Plan Along the Way: Event-Triggered Foundation-Model Planning for TAMP Execution in Partially Observable Manipulation

Stay Seated: Learning Omnidirectional Humanoid Locomotion on a Passive Mobile Chair with Casters

Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Category-Level Articulated Object Pose Estimation

MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model

A soft thumb-sized vision-based sensor with accurate all-round force perception

Deep Learning for Tactile Understanding From Visual and Haptic Data

Contact-Guided Exploration for Non-Prehensile Locomanipulation with Multi-Critic RL

Reinforcement Learning With Temporal Logic Rewards

A review on locomotion robophysics: the study of movement at the intersection of robotics, soft matter and dynamical systems

RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection

Residual Policy Learning

DeicticVLA: Unifying Instruction Modes Based on Language and Deictic Gestures in a Single VLA

Kernelized Movement Primitives

MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction

A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation

Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Hierarchical Game-Theoretic Planning for Autonomous Vehicles

RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics

DeepReach: A Deep Learning Approach to High-Dimensional Reachability

MaCoPlanner: LLM-Assisted Manual-Compiled Task Planning with Proactive Safety Verification for Robotic Industrial Panel Operation

Physically Grounded Vision-Language Models for Robotic Manipulation

Training-free Suction Grasp Detection for Deformed Aseptic Cartons Using Vision-Language Models and Geometric Surface Scoring

Learning from All Vehicles

PanelShield: Verifiable Closed-Loop Safe Planning for Robotic Industrial Panel Operation

Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

Spatial-Semantic Reasoning using Large Language Models for Efficient UAV Search Operations

WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming

Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture

Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

Motion Planning around Obstacles with Convex Optimization

Localization Requirements for Autonomous Vehicles

DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation

CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT

PHR-VLA: Planning Horizon Reasoning for Vision-Language-Action Models

A Differentiable Physics Engine for Deep Learning in Robotics

PAMPC: Perception-Aware Model Predictive Control for Quadrotors

When Robots Mishear Us: Mapping the Safety Risks of Voice-Controlled Embodied AI

AcrossVAM1.0: Particle World Modeling for Text-Assisted Robot Video Prediction

EPOS: Estimating 6D Pose of Objects with Symmetries

Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge

Autonomous discovery in the chemical sciences part I: Progress

Momentum Control with Hierarchical Inverse Dynamics on a Torque-Controlled Humanoid

The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth

SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks

Expressive Whole-Body Control for Humanoid Robots