IEEE RA-L

Point Cloud Compression with Bits-back Coding

Nguyen Quang Hieu, Minh Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz

Comments This paper is under reviewed in IEEE Robotics and Automation Letters

Robust High-Speed State Estimation for Off-road Navigation using Radar Velocity Factors

Morten Nissov, Jeffrey A. Edlund, Patrick Spieler, Curtis Padgett, Kostas Alexis, Shehryar Khattak

Comments 8 pages, 9 figures. Accepted for publication in IEEE Robotics and Automation Letters (RA-L), 2024

D2S: Representing sparse descriptors and 3D coordinates for camera relocalization

Bach-Thuan Bui, Huy-Hoang Bui, Dinh-Tuan Tran, Joo-Ho Lee

Comments Accepted to IEEE Robotics and Automation Letters

DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning

Srujan Deolasee, Siva Kailas, Wenhao Luo, Katia Sycara, Woojun Kim

Comments 8 pages, 4 figures, submitted to IEEE RA-L

Tailoring Solution Accuracy for Fast Whole-body Model Predictive Control of Legged Robots

Charles Khazoom, Seungwoo Hong, Matthew Chignoli, Elijah Stanger-Jones, Sangbae Kim

Comments This work is published in IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters (2024)

Minimalist exploration strategies for robot swarms at the edge of chaos

Vinicius Sartorio, Luigi Feola, Emanuel Estrada, Vito Trianni, Jonata Tyska Carvalho

Comments This work has been submitted to the IEEE RA-L for possible publication

Hierarchical Spatial Proximity Reasoning for Vision-and-Language Navigation

Ming Xu, Zilong Xie

Journal ref IEEE ROBOTICS AND AUTOMATION LETTERS, 2024

Benchmarking Adaptive Intelligence and Computer Vision on Human-Robot Collaboration

Salaar Saraj, Gregory Shklovski, Kristopher Irizarry, Jonathan Vet, Yutian Ren

Comments 7 Pages, 9 Figures. 14 References. Submitted to IEEE RA-L Journal and ICRA 2025 Conference. This work has been submitted to the IEEE for possible publication

DynaVINS++: Robust Visual-Inertial State Estimator in Dynamic Environments by Adaptive Truncated Least Squares and Stable State Recovery

Seungwon Song, Hyungtae Lim, Alex Junho Lee, Hyun Myung

Comments 8 pages, 7 figures. S. Song, H. Lim, A. J. Lee and H. Myung, "DynaVINS++: Robust Visual-Inertial State Estimator in Dynamic Environments by Adaptive Truncated Least Squares and Stable State Recovery," in IEEE Robotics and Automation Letters, vol. 9, no. 10, pp. 9127-9134, Oct. 2024

Journal ref IEEE Robotics and Automation Letters, vol. 9, no. 10, pp. 9127-9134, Oct. 2024

UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps

Maciej K Wozniak, Mattias Hansson, Marko Thiel, Patric Jensfelt

Comments Accepted for IEEE RA-L 2024

Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation

Anthony Opipari, Aravindhan K Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins

Comments Accepted in IEEE Robotics and Automation Letters October 2024

"Don't forget to put the milk back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations

James F. Mullen, Prasoon Goyal, Robinson Piramuthu, Michael Johnston, Dinesh Manocha, Reza Ghanadan

Journal ref IEEE Robotics and Automation Letters 9.10 (2024) 9087 - 9094

Making a Complete Mess and Getting Away with it: Traveling Salesperson Problems with Circle Placement Variants

David Woller, Masoumeh Mansouri, Miroslav Kulich

Comments 8 pages, 7 figures, accepted to IEEE Robotics and Automation Letters in August 2024

Journal ref IEEE Robotics and Automation Letters (Volume: 9, Issue: 10, October 2024)

Object Importance Estimation using Counterfactual Reasoning for Intelligent Driving

Pranay Gupta, Abhijat Biswas, Henny Admoni, David Held

Journal ref IEEE Robotics and Automation Letters, vol. 9, no. 4, pp. 3648-3655, April 2024

MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations

Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki

Comments Preprint version of paper accepted at IEEE RAL. Project URL: https://bit.ly/MoVEInt

Fast Decentralized State Estimation for Legged Robot Locomotion via EKF and MHE

Jiarong Kang, Yi Wang, Xiaobin Xiong

Comments 8 pages, accepted by RAL 2024

S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations

Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Markus Enzweiler, Hendrik P. A. Lensch

Comments \c{opyright} 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Journal ref IEEE Robotics and Automation Letters, Vol. 9, No. 2 (2024), PP 1326-1333

CE-MRS: Contrastive Explanations for Multi-Robot Systems

Ethan Schneider, Daniel Wu, Devleena Das, Sonia Chernova

Comments Accepted to IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters. 9 (2024) 10121-10128

GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration

Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

Comments 8 pages, 10 figures, 3 tables. Published in IEEE Robotics and Automation Letters (RA-L) (in press). Last updated on September 26th, 2024

CitDet: A Benchmark Dataset for Citrus Fruit Detection

Jordan A. James, Heather K. Manching, Matthew R. Mattia, Kim D. Bowman, Amanda M. Hulse-Kemp, William J. Beksi

Comments To be published in IEEE Robotics and Automation Letters (RA-L)

PointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with Segment-level Consistency Training for Mobile Robots in Horticulture

T. Barros, L. Garrote, P. Conde, M. J. Coombes, C. Liu, C. Premebida, U. J. Nunes

Comments This preprint has been accepted for publication in IEEE Robotics and Automation Letters, 2024

Multimodal Active Measurement for Human Mesh Recovery in Close Proximity

Takahiro Maeda, Keisuke Takeshita, Norimichi Ukita, Kazuhito Tanaka

Comments Accepted at Robotics and Automation Letters (RA-L) on Sep 2024

HE-Nav: A High-Performance and Efficient Navigation System for Aerial-Ground Robots in Cluttered Environments

Junming Wang, Zekai Sun, Xiuxian Guan, Tianxiang Shen, Dong Huang, Zongyuan Zhang, Tianyang Duan, Fangming Liu, Heming Cui

Comments Accepted to IEEE RA-L

Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematics (MASK)

Jeongeun Park, Taemoon Jeong, Hyeonseong Kim, Taehyun Byun, Seungyoon Shin, Keunjun Choi, Jaewoon Kwon, Taeyoon Lee, Matthew Pan, Sungjoon Choi

Comments Accepted at Robotics and Automation Letters

GAP-RL: Grasps As Points for RL Towards Dynamic Object Grasping

Pengwei Xie, Siang Chen, Qianrun Chen, Wei Tang, Dingchang Hu, Yixiang Dai, Rui Chen, Guijin Wang

Comments Accepted by RA-L for further publication, may be unavailable or updated in the future

CLIP-Clique: Graph-based Correspondence Matching Augmented by Vision Language Models for Object-based Global Localization

Shigemichi Matsuzaki, Kazuhito Tanaka, Kazuhiro Shintani

Comments IEEE Robotics and Automation Letters

EF-Calib: Spatiotemporal Calibration of Event- and Frame-Based Cameras Using Continuous-Time Trajectories

Shaoan Wang, Zhanhua Xin, Yaoqing Hu, Dongyue Li, Mingzhu Zhu, Junzhi Yu

Comments Accepted by IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters, 2024

Narrowing your FOV with SOLiD: Spatially Organized and Lightweight Global Descriptor for FOV-constrained LiDAR Place Recognition

Hogyun Kim, Jiwon Choi, Taehu Sim, Giseop Kim, Younggun Cho

Comments Accepted in IEEE Robotics and Automation Letters (2024)

Constraining Gaussian Process Implicit Surfaces for Robot Manipulation via Dataset Refinement

Abhinav Kumar, Peter Mitrano, Dmitry Berenson

Comments Accepted to IEEE RA-L

LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning

Zeyu Feng, Hao Luan, Pranav Goyal, Harold Soh

Journal ref in IEEE Robotics and Automation Letters, vol. 9, no. 10, pp. 8571-8578, Oct. 2024