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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2,401 to 2,460 of 3,243

TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Yuexin Ma, Xinge Zhu, Sibo Zhang +3
cs.CVcs.ROarXiv:1811.02146v52018
Optimization-Based Collision Avoidance
Xiaojing Zhang, Alexander Liniger, Francesco Borrelli
math.OCcs.ROeess.SYarXiv:1711.03449v32017
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
Dan Barnes, Matthew Gadd, Paul Murcutt +2
cs.ROeess.SParXiv:1909.01300v32019
Fixed-Haven Reservation for Online Multi-Agent Pickup and Delivery in Dense Warehouses
Taisei Hirayama, Kohei Yoshida, Hiroki Sakaji +1
cs.MAcs.ROarXiv:2608.26759v12026
Robotic Grasp Detection using Deep Convolutional Neural Networks
Sulabh Kumra, Christopher Kanan
cs.ROcs.CVarXiv:1611.08036v42016
Temporal Difference Learning for Model Predictive Control
Nicklas Hansen, Xiaolong Wang, Hao Su
cs.LGcs.ROarXiv:2203.04955v22022
Stochastic Adversarial Video Prediction
Alex X. Lee, Richard Zhang, Frederik Ebert +3
cs.CVcs.AIcs.LGarXiv:1804.01523v12018
Reinforcement Learning for UAV Attitude Control
William Koch, Renato Mancuso, Richard West +1
cs.ROarXiv:1804.04154v12018
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
Andy Zeng, Kuan-Ting Yu, Shuran Song +4
cs.CVcs.LGcs.ROarXiv:1609.09475v32016
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi, Kurt Konoglie, Sergey Levine +1
cs.ROcs.LGarXiv:1909.11652v12019
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Frederik Ebert, Chelsea Finn, Sudeep Dasari +3
cs.ROcs.AIcs.CVarXiv:1812.00568v12018
Semantic Instance Segmentation with a Discriminative Loss Function
Bert De Brabandere, Davy Neven, Luc Van Gool
cs.CVcs.ROarXiv:1708.02551v12017
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning
Krishan Rana, Jesse Haviland, Sourav Garg +3
cs.ROcs.AIarXiv:2307.06135v22023
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Yunzhu Li, Jiajun Wu, Russ Tedrake +2
cs.LGcs.AIcs.ROarXiv:1810.01566v22018
3D Object Detection for Autonomous Driving: A Comprehensive Survey
Jiageng Mao, Shaoshuai Shi, Xiaogang Wang +1
cs.CVcs.AIcs.ROarXiv:2206.09474v22022
3D Fully Convolutional Network for Vehicle Detection in Point Cloud
Bo Li
cs.CVcs.ROarXiv:1611.08069v22016
Model-Ensemble Trust-Region Policy Optimization
Thanard Kurutach, Ignasi Clavera, Yan Duan +2
cs.LGcs.AIcs.ROarXiv:1802.10592v22018
End-to-end Interpretable Neural Motion Planner
Wenyuan Zeng, Wenjie Luo, Simon Suo +4
cs.CVcs.ROarXiv:2101.06679v12021
The TUM VI Benchmark for Evaluating Visual-Inertial Odometry
David Schubert, Thore Goll, Nikolaus Demmel +3
cs.CVcs.ROarXiv:1804.06120v32018
One Thousand and One Hours: Self-driving Motion Prediction Dataset
John Houston, Guido Zuidhof, Luca Bergamini +6
cs.CVcs.LGcs.ROarXiv:2006.14480v22020
DreamMimic: Learning Visuomotor Whole-Body Loco-Manipulation via World Model
Jie Yin, Xingyu Lai
cs.ROarXiv:2608.22278v12026
Deep Parametric Continuous Convolutional Neural Networks
Shenlong Wang, Simon Suo, Wei-Chiu Ma +2
cs.CVcs.AIcs.LGarXiv:2101.06742v12021
AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains
Hao-Shu Fang, Chenxi Wang, Hongjie Fang +6
cs.ROarXiv:2212.08333v22022
Dynamics-Aware Unsupervised Discovery of Skills
Archit Sharma, Shixiang Gu, Sergey Levine +2
cs.LGcs.ROstat.MLarXiv:1907.01657v22019
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
Long Chen, Yuchen Li, Chao Huang +13
cs.ROcs.AIarXiv:2303.17220v12023
Evaluating Real-World Robot Manipulation Policies in Simulation
Xuanlin Li, Kyle Hsu, Jiayuan Gu +13
cs.ROcs.CVcs.LGarXiv:2405.05941v12024
Virtual KITTI 2
Yohann Cabon, Naila Murray, Martin Humenberger
cs.CVcs.ROeess.IVarXiv:2001.10773v12020
DPOD: 6D Pose Object Detector and Refiner
Sergey Zakharov, Ivan Shugurov, Slobodan Ilic
cs.CVcs.ROarXiv:1902.11020v32019
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
Michael Lutter, Christian Ritter, Jan Peters
cs.LGcs.ROeess.SYarXiv:1907.04490v12019
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections
Julian Bock, Robert Krajewski, Tobias Moers +3
cs.CVcs.LGcs.ROarXiv:1911.07602v12019
Learning to Walk via Deep Reinforcement Learning
Tuomas Haarnoja, Sehoon Ha, Aurick Zhou +3
cs.LGcs.AIcs.ROarXiv:1812.11103v32018
Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization
Manh Duong Phung, Quang Phuc Ha
cs.NEcs.AIcs.ROarXiv:2104.10033v12021
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton +2
cs.LGcs.ROstat.MLarXiv:1911.10298v22019
Deep Fruit Detection in Orchards
Suchet Bargoti, James Underwood
cs.ROcs.AIcs.CVarXiv:1610.03677v22016
The KIT Motion-Language Dataset
Matthias Plappert, Christian Mandery, Tamim Asfour
cs.ROcs.CLcs.CVarXiv:1607.03827v22016
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan +6
cs.ROcs.CVcs.LGarXiv:1812.07252v32018
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Martin Riedmiller, Roland Hafner, Thomas Lampe +6
cs.LGcs.ROstat.MLarXiv:1802.10567v12018
Tightly Coupled 3D Lidar Inertial Odometry and Mapping
Haoyang Ye, Yuying Chen, Ming Liu
cs.ROcs.CVarXiv:1904.06993v12019
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman +3
cs.ROcs.AIcs.CVarXiv:2210.00030v22022
MonoScene: Monocular 3D Semantic Scene Completion
Anh-Quan Cao, Raoul de Charette
cs.CVcs.AIcs.ROarXiv:2112.00726v22021
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
Ke Sun, Kartik Mohta, Bernd Pfrommer +5
cs.ROarXiv:1712.00036v32017
Planning to Explore via Self-Supervised World Models
Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis +3
cs.LGcs.AIcs.CVarXiv:2005.05960v22020
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer, Scott Niekum, George Konidaris
cs.ROarXiv:1907.03146v32019
Using Inertial Sensors for Position and Orientation Estimation
Manon Kok, Jeroen D. Hol, Thomas B. Schön
cs.ROeess.SYarXiv:1704.06053v22017
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images
Christian Zimmermann, Duygu Ceylan, Jimei Yang +3
cs.CVcs.LGcs.ROarXiv:1909.04349v32019
Learning Latent Plans from Play
Corey Lynch, Mohi Khansari, Ted Xiao +4
cs.ROarXiv:1903.01973v22019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats, Amy Zhang, Ilya Kostrikov +3
cs.LGcs.AIcs.ROarXiv:1910.01741v32019
Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto, Marcin Andrychowicz, Peter Welinder +2
cs.ROcs.AIcs.LGarXiv:1710.06542v12017
A Taxonomy of Construction Task Activities for Robot Workers
Sadman Sakib, Zhangyi None Peng, Yujie Pang +2
cs.ROarXiv:2608.25395v12026
Sensorless damage-safe grasping
Yusei Shuto, Danilo Vasconcellos Vargas
cs.ROarXiv:2608.23983v12026
A Tendon-Driven Five-Fingered Hand with Distributed Tactile Perception for Dexterous Manipulation
Huayang Chen, Longhui Qin
cs.ROcs.AIarXiv:2608.25547v12026
One Policy, Many Embodiments: Unified Camera-Centric Action Geometry Pre-training for Heterogeneous Embodied Manipulation
Xiaomi Embodied Intelligence Team, University of Macau, : +21
cs.ROarXiv:2608.26058v12026
Trust-Aware Sequential Decision Making and Rollout Planning for Resilient Multi-Robot Systems
Roee M. Francos, Daniel Garces, Orhan Eren Akgün +2
cs.MAcs.ROarXiv:2608.25690v12026
PRISM: Projection-Integrated Sampling-Based MPC with Bayesian Cost Tuning for Bimanual Manipulation
Alinjar Dan, Iryna Hurova, Karl Kruusamäe +1
cs.ROarXiv:2608.25666v12026
A Statistical Audit of Physical AI Benchmark Redundancy
Zaruhi Navasardyan, Hrant Davtyan
cs.ROcs.AIarXiv:2608.25940v12026
AGRO-Nav: Autonomous Graph-based Orchard Navigation
Ho Young Yun, Jaemin Yu, Duksu Kim
cs.ROarXiv:2608.25799v12026
Opportunities of Self Supervised Learning for GNSS: Evaluation of a Deep Learning-Enhanced PVT Algorithm
Thomas Barbero, Bertrand Ekambi
cs.ROarXiv:2608.25674v12026
VISTA: Visually Inferred Spatial ConTact Attention for Contact-Rich Manipulation
Jiayi Chen, Wenlong Dong, Yan Huang +5
cs.ROarXiv:2608.25872v12026
Choose Your Game Wisely: Measuring Game-Theoretic Structures in Real-World Vehicle Interactions
Yueyuan Li, Rongcheng Nie, Weijie Xi +4
cs.AIcs.ROarXiv:2608.25917v12026
Fast Generative Grasping via Lie Group-Constrained MeanFlow
S. Talha Bukhari, Yi Wei, Ruiqi Ni +2
cs.ROarXiv:2608.26076v12026

Robotics

TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

Optimization-Based Collision Avoidance

The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset

Fixed-Haven Reservation for Online Multi-Agent Pickup and Delivery in Dense Warehouses

Robotic Grasp Detection using Deep Convolutional Neural Networks

Temporal Difference Learning for Model Predictive Control

Stochastic Adversarial Video Prediction

Reinforcement Learning for UAV Attitude Control

Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge

Deep Dynamics Models for Learning Dexterous Manipulation

Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control

Semantic Instance Segmentation with a Discriminative Loss Function

SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

3D Object Detection for Autonomous Driving: A Comprehensive Survey

3D Fully Convolutional Network for Vehicle Detection in Point Cloud

Model-Ensemble Trust-Region Policy Optimization

End-to-end Interpretable Neural Motion Planner

The TUM VI Benchmark for Evaluating Visual-Inertial Odometry

One Thousand and One Hours: Self-driving Motion Prediction Dataset

DreamMimic: Learning Visuomotor Whole-Body Loco-Manipulation via World Model

Deep Parametric Continuous Convolutional Neural Networks

AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains

Dynamics-Aware Unsupervised Discovery of Skills

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

Evaluating Real-World Robot Manipulation Policies in Simulation

Virtual KITTI 2

DPOD: 6D Pose Object Detector and Refiner

Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections

Learning to Walk via Deep Reinforcement Learning

Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization

CoverNet: Multimodal Behavior Prediction using Trajectory Sets

Deep Fruit Detection in Orchards

The KIT Motion-Language Dataset

Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks

Learning by Playing - Solving Sparse Reward Tasks from Scratch

Tightly Coupled 3D Lidar Inertial Odometry and Mapping

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

MonoScene: Monocular 3D Semantic Scene Completion

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

Planning to Explore via Self-Supervised World Models

A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms

Using Inertial Sensors for Position and Orientation Estimation

FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images

Learning Latent Plans from Play

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Asymmetric Actor Critic for Image-Based Robot Learning

A Taxonomy of Construction Task Activities for Robot Workers

Sensorless damage-safe grasping

A Tendon-Driven Five-Fingered Hand with Distributed Tactile Perception for Dexterous Manipulation

One Policy, Many Embodiments: Unified Camera-Centric Action Geometry Pre-training for Heterogeneous Embodied Manipulation

Trust-Aware Sequential Decision Making and Rollout Planning for Resilient Multi-Robot Systems

PRISM: Projection-Integrated Sampling-Based MPC with Bayesian Cost Tuning for Bimanual Manipulation

A Statistical Audit of Physical AI Benchmark Redundancy

AGRO-Nav: Autonomous Graph-based Orchard Navigation

Opportunities of Self Supervised Learning for GNSS: Evaluation of a Deep Learning-Enhanced PVT Algorithm

VISTA: Visually Inferred Spatial ConTact Attention for Contact-Rich Manipulation

Choose Your Game Wisely: Measuring Game-Theoretic Structures in Real-World Vehicle Interactions

Fast Generative Grasping via Lie Group-Constrained MeanFlow