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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2,041 to 2,100 of 3,243

Human-robot collaboration and machine learning: a systematic review of recent research
Francesco Semeraro, Alexander Griffiths, Angelo Cangelosi
cs.ROcs.LGarXiv:2110.07448v42021
Navigation World Models
Amir Bar, Gaoyue Zhou, Danny Tran +2
cs.CVcs.AIcs.LGarXiv:2412.03572v22024
Attention, please! A survey of Neural Attention Models in Deep Learning
Alana de Santana Correia, Esther Luna Colombini
cs.LGcs.AIcs.CVarXiv:2103.16775v12021
Concept-Guided Exploration: Building Persistent, Actionable Scene Graphs
Noé Zapata, Gerardo Pérez, Alejandro Torrejón +2
cs.ROarXiv:2608.23650v12026
Self-Driving Cars: A Survey
Claudine Badue, Rânik Guidolini, Raphael Vivacqua Carneiro +10
cs.ROarXiv:1901.04407v22019
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration
Rouhollah Rahmatizadeh, Pooya Abolghasemi, Ladislau Bölöni +1
cs.LGcs.AIcs.ROarXiv:1707.02920v22017
Motion Planning Networks
Ahmed H. Qureshi, Anthony Simeonov, Mayur J. Bency +1
cs.ROcs.AIstat.MLarXiv:1806.05767v22018
Scene Transformer: A unified architecture for predicting multiple agent trajectories
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan +11
cs.CVcs.LGcs.ROarXiv:2106.08417v32021
Large Language Models as General Pattern Machines
Suvir Mirchandani, Fei Xia, Pete Florence +6
cs.AIcs.CLcs.ROarXiv:2307.04721v22023
Soft Robots Modeling: a Structured Overview
Costanza Armanini, Frédéric Boyer, Anup Teejo Mathew +2
cs.ROarXiv:2112.03645v22021
NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Kashyap Chitta, Aditya Prakash, Andreas Geiger
cs.CVcs.AIcs.LGarXiv:2109.04456v12021
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu, Bin Fan, Gaofeng Meng +3
cs.CVcs.AIcs.GRarXiv:1909.03669v12019
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection
Han Wang, Chen Wang, Lihua Xie
cs.ROcs.CVarXiv:2003.05656v12020
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots
Zhongyu Li, Xuxin Cheng, Xue Bin Peng +4
cs.ROcs.AIcs.LGarXiv:2103.14295v12021
Learning to Fly by Crashing
Dhiraj Gandhi, Lerrel Pinto, Abhinav Gupta
cs.ROcs.CVcs.LGarXiv:1704.05588v22017
Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation
Xingrui Yang, Hai Li, Hongjia Zhai +3
cs.CVcs.GRcs.ROarXiv:2210.15858v32022
Hierarchical Deep Stereo Matching on High-resolution Images
Gengshan Yang, Joshua Manela, Michael Happold +1
cs.CVcs.ROarXiv:1912.06704v12019
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
Xiaosong Jia, Zhenjie Yang, Qifeng Li +2
cs.ROcs.CVarXiv:2406.03877v32024
Asymptotically Stable Walking of a Five-Link Underactuated 3D Bipedal Robot
Christine Chevallereau, Jessy W. Grizzle, Ching-Long Shih
cs.ROarXiv:1002.3258v12010
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
Seunghyun Lee, Younggyo Seo, Kimin Lee +2
cs.ROcs.LGarXiv:2107.00591v22021
Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation
Abdelrhman Werby, Chenguang Huang, Martin Büchner +2
cs.ROcs.AIcs.CLarXiv:2403.17846v22024
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang +5
cs.ROcs.AIarXiv:2412.10345v32024
Deep Reinforcement Learning for High Precision Assembly Tasks
Tadanobu Inoue, Giovanni De Magistris, Asim Munawar +2
cs.ROcs.AIarXiv:1708.04033v22017
DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM
Berta Bescos, Carlos Campos, Juan D. Tardós +1
cs.ROcs.CVarXiv:2010.07820v12020
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments
Lukas Schmid, Michael Pantic, Raghav Khanna +3
cs.ROcs.CVarXiv:1909.09548v22019
Vision-Only Robot Navigation in a Neural Radiance World
Michal Adamkiewicz, Timothy Chen, Adam Caccavale +4
cs.ROarXiv:2110.00168v22021
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
Colin Lea, Austin Reiter, Rene Vidal +1
cs.CVcs.ROarXiv:1602.02995v42016
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception
Md Jahidul Islam, Peigen Luo, Junaed Sattar
cs.CVcs.ROeess.IVarXiv:2002.01155v12020
GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator
Xingyu Liu, Ruida Zhang, Chenyangguang Zhang +4
cs.CVcs.ROarXiv:2102.12145v52021
SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models
Shyam Sundar Kannan, Vishnunandan L. N. Venkatesh, Byung-Cheol Min
cs.ROarXiv:2309.10062v22023
Summaries:한국어
A Comprehensive Survey on the Multiple Travelling Salesman Problem: Applications, Approaches and Taxonomy
Omar Cheikhrouhou, Ines Khoufi
cs.CCcs.ROarXiv:2102.12772v12021
Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds
Michael Neunert, Markus Stäuble, Markus Giftthaler +5
cs.ROarXiv:1712.02889v12017
An Overview of Depth Cameras and Range Scanners Based on Time-of-Flight Technologies
Radu Horaud, Miles Hansard, Georgios Evangelidis +1
cs.CVcs.ROarXiv:2012.06772v12020
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding, Chejian Xu, Mansur Arief +3
cs.ROarXiv:2202.02215v62022
Kinodynamic Motion Planning: A Novel Type Of Nonlinear, Passive Damping Forces And Advantages
Ahmad A. Masoud
cs.ROeess.SYarXiv:1606.09270v12016
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
Fangchang Ma, Sertac Karaman
cs.ROcs.AIcs.CVarXiv:1709.07492v22017
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp +6
cs.LGcs.ROstat.MLarXiv:2002.08396v32020
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
Xin Li, Xiaowen Ying, Mooi Choo Chuah
cs.CVcs.ROarXiv:1907.07792v22019
The blockchain: a new framework for robotic swarm systems
Eduardo Castelló Ferrer
cs.ROcs.DCcs.ETarXiv:1608.00695v42016
AI-IMU Dead-Reckoning
Martin Brossard, Axel Barrau, Silvère Bonnabel
cs.ROstat.MLarXiv:1904.06064v12019
MP3: A Unified Model to Map, Perceive, Predict and Plan
Sergio Casas, Abbas Sadat, Raquel Urtasun
cs.ROcs.AIcs.CVarXiv:2101.06806v12021
Asymptotically Optimal Sampling-based Kinodynamic Planning
Yanbo Li, Zakary Littlefield, Kostas E. Bekris
cs.ROarXiv:1407.2896v52014
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions
Rohan Chandra, Uttaran Bhattacharya, Aniket Bera +1
cs.ROarXiv:1812.04767v42018
RAPTOR: Robust and Perception-aware Trajectory Replanning for Quadrotor Fast Flight
Boyu Zhou, Jie Pan, Fei Gao +1
cs.ROarXiv:2007.03465v12020
Language Conditioned Imitation Learning over Unstructured Data
Corey Lynch, Pierre Sermanet
cs.ROcs.AIcs.CLarXiv:2005.07648v22020
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior
Gabriel B Margolis, Pulkit Agrawal
cs.ROcs.AIcs.LGarXiv:2212.03238v12022
Agricultural Robotics: The Future of Robotic Agriculture
Tom Duckett, Simon Pearson, Simon Blackmore +27
cs.ROarXiv:1806.06762v22018
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
Ran Cheng, Ryan Razani, Ehsan Taghavi +2
cs.CVcs.AIcs.ROarXiv:2102.04530v12021
weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming
Inkyu Sa, Zetao Chen, Marija Popovic +4
cs.CVcs.ROarXiv:1709.03329v12017
Physically Realizable Adversarial Examples for LiDAR Object Detection
James Tu, Mengye Ren, Siva Manivasagam +5
cs.CVcs.CRcs.LGarXiv:2004.00543v22020
Searching with Consistent Prioritization for Multi-Agent Path Finding
Hang Ma, Daniel Harabor, Peter J. Stuckey +2
cs.AIcs.MAcs.ROarXiv:1812.06356v12018
OpenVSLAM: A Versatile Visual SLAM Framework
Shinya Sumikura, Mikiya Shibuya, Ken Sakurada
cs.CVcs.ROarXiv:1910.01122v32019
Robust Localization and Tracking of Simultaneous Moving Sound Sources Using Beamforming and Particle Filtering
Jean-Marc Valin, François Michaud, Jean Rouat
cs.ROcs.SDarXiv:1602.08139v12016
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou +2
cs.CVcs.ROarXiv:2109.01827v42021
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
Peter R. Florence, Lucas Manuelli, Russ Tedrake
cs.ROcs.CVcs.LGarXiv:1806.08756v22018
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker +1
cs.ROcs.AIcs.LGarXiv:1612.05533v32016
DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation
Chen Wang, Haochen Shi, Weizhuo Wang +3
cs.ROcs.AIcs.CVarXiv:2403.07788v22024
kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation
Lucas Manuelli, Wei Gao, Peter Florence +1
cs.ROarXiv:1903.06684v22019
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving
Xiaodan Liang, Tairui Wang, Luona Yang +1
cs.CVcs.ROarXiv:1807.03776v12018
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud +12
cs.CVcs.AIcs.LGarXiv:2303.18240v22023

Robotics

Human-robot collaboration and machine learning: a systematic review of recent research

Navigation World Models

Attention, please! A survey of Neural Attention Models in Deep Learning

Concept-Guided Exploration: Building Persistent, Actionable Scene Graphs

Self-Driving Cars: A Survey

Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration

Motion Planning Networks

Scene Transformer: A unified architecture for predicting multiple agent trajectories

Large Language Models as General Pattern Machines

Soft Robots Modeling: a Structured Overview

NEAT: Neural Attention Fields for End-to-End Autonomous Driving

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing

Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

Learning to Fly by Crashing

Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation

Hierarchical Deep Stereo Matching on High-resolution Images

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Asymptotically Stable Walking of a Five-Link Underactuated 3D Bipedal Robot

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies

Deep Reinforcement Learning for High Precision Assembly Tasks

DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM

An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments

Vision-Only Robot Navigation in a Neural Radiance World

Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation

Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception

GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator

SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

A Comprehensive Survey on the Multiple Travelling Salesman Problem: Applications, Approaches and Taxonomy

Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds

An Overview of Depth Cameras and Range Scanners Based on Time-of-Flight Technologies

A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective

Kinodynamic Motion Planning: A Novel Type Of Nonlinear, Passive Damping Forces And Advantages

Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image

Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning

GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving

The blockchain: a new framework for robotic swarm systems

AI-IMU Dead-Reckoning

MP3: A Unified Model to Map, Perceive, Predict and Plan

Asymptotically Optimal Sampling-based Kinodynamic Planning

TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions

RAPTOR: Robust and Perception-aware Trajectory Replanning for Quadrotor Fast Flight

Language Conditioned Imitation Learning over Unstructured Data

Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior

Agricultural Robotics: The Future of Robotic Agriculture

(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network

weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming

Physically Realizable Adversarial Examples for LiDAR Object Detection

Searching with Consistent Prioritization for Multi-Agent Path Finding

OpenVSLAM: A Versatile Visual SLAM Framework

Robust Localization and Tracking of Simultaneous Moving Sound Sources Using Beamforming and Particle Filtering

GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation

Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation

Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation

CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?