IEEE RA-L

Whole-Body Teleoperation for Mobile Manipulation at Zero Added Cost

Daniel Honerkamp, Harsh Mahesheka, Jan Ole von Hartz, Tim Welschehold, Abhinav Valada

Comments Project Website: https://moma-teleop.cs.uni-freiburg.de

Journal ref IEEE Robotics and Automation Letters, vol. 10, no. 4, pp. 3198-3205, April 2025

Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours

Nikhil Churamani, Saksham Checker, Fethiye Irmak Dogan, Hao-Tien Lewis Chiang, Hatice Gunes

Comments 8 pages, 4 figures, IEEE RA-L submission

LXLv2: Enhanced LiDAR Excluded Lean 3D Object Detection with Fusion of 4D Radar and Camera

Weiyi Xiong, Zean Zou, Qiuchi Zhao, Fengchun He, Bing Zhu

Comments Accepted by IEEE Robotics and Automation Letters

Continuous-Time Line-of-Sight Constrained Trajectory Planning for 6-Degree of Freedom Systems

Christopher R. Hayner, John M. Carson, Behçet Açıkmeşe, Karen Leung

Comments This paper is accepted for the IEEE Robotics and Automation Letters (RA-L)

LEGATO: Cross-Embodiment Imitation Using a Grasping Tool

Mingyo Seo, H. Andy Park, Shenli Yuan, Yuke Zhu, Luis Sentis

Comments Published in RA-L

Journal ref IEEE Robotics and Automation Letters vol. 10 no. 3 pp. 2854-2861 2025

A Robust and Efficient Visual-Inertial Initialization with Probabilistic Normal Epipolar Constraint

Changshi Mu, Daquan Feng, Qi Zheng, Yuan Zhuang

Comments Accepted by RA-L

A Framework for Learning Scoring Rules in Autonomous Driving Planning Systems

Zikang Xiong, Joe Kurian Eappen, Suresh Jagannathan

Comments Accepted for publication in IEEE Robotics and Automation Letters (RA-L)

DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation

James R. Han, Hugues Thomas, Jian Zhang, Nicholas Rhinehart, Timothy D. Barfoot

Comments 8 pages, 8 figures, accepted to IEEE Robotics and Automation Letters (RA-L) February 2025

VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Continual Learning

Yuhang Ming, Minyang Xu, Xingrui Yang, Weicai Ye, Weihan Wang, Yong Peng, Weichen Dai, Wanzeng Kong

Comments 8 pages, 4 figures. In IEEE Robotics and Automation Letters

Human Arm Pose Estimation with a Shoulder-worn Force-Myography Device for Human-Robot Interaction

Rotem Atari, Eran Bamani, Avishai Sintov

Journal ref IEEE Robotics and Automation Letters, February 2025

DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects

Zixing Wang, Ahmed H. Qureshi

Comments This paper has been accepted by IEEE RA-L

D-Lite: Navigation-Oriented Compression of 3D Scene Graphs for Multi-Robot Collaboration

Yun Chang, Luca Ballotta, Luca Carlone

Comments 18 pages, 18 figures; accepted at IEEE RA-L 2023

Journal ref IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 7527-7534, 2023

PRISM-TopoMap: Online Topological Mapping with Place Recognition and Scan Matching

Kirill Muravyev, Alexander Melekhin, Dmitry Yudin, Konstantin Yakovlev

Comments This is the camera-ready version of the paper which will be published in IEEE RA-L in 2025

Robotic Exploration using Generalized Behavioral Entropy

Aamodh Suresh, Carlos Nieto-Granda, Sonia Martinez

Comments \c{opyright} 2024 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 in IEEE Robotics and Automation Letters, vol. 9, no. 9, pp. 8011-8018, Sept. 2024

Landing a UAV in Harsh Winds and Turbulent Open Waters

Parakh M. Gupta, Eric Pairet, Tiago Nascimento, Martin Saska

Journal ref in IEEE Robotics and Automation Letters, vol. 8, no. 2, pp. 744-751, Feb. 2023

Anytime Planning for End-Effector Trajectory Tracking

Yeping Wang, Michael Gleicher

Comments Accepted by IEEE Robotics and Automation Letters (RAL)

Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute

Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno

Journal ref IEEE Robotics and Automation Letters ( Volume: 10, Issue: 2, February 2025)

Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction

Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno

Comments Accepted to RA-L

Journal ref IEEE Robotics and Automation Letters ( Volume: 10, Issue: 2, February 2025)

Kino-PAX: Highly Parallel Kinodynamic Sampling-based Planner

Nicolas Perrault, Qi Heng Ho, Morteza Lahijanian

Comments To appear in the Robotics and Automation Letters (RAL), March 2025

DeRi-IGP: Learning to Manipulate Rigid Objects Using Deformable Objects via Iterative Grasp-Pull

Zixing Wang, Ahmed H. Qureshi

Comments This paper is accepted by RA-L

Learning Gentle Grasping from Human-Free Force Control Demonstration

Mingxuan Li, Lunwei Zhang, Tiemin Li, Yao Jiang

Comments 8 pages, 8 figures

Journal ref IEEE Robotics and Automation Letters, vol. 10, no. 3, pp. 2391-2398, March 2025

EasyCalib: Simple and Low-Cost In-Situ Calibration for Force Reconstruction with Vision-Based Tactile Sensors

Mingxuan Li, Lunwei Zhang, Yen Hang Zhou, Tiemin Li, Yao Jiang

Comments 8 pages, 8 figures

Journal ref IEEE Robotics and Automation Letters, vol. 9, no. 9, pp. 7803-7810, Sept. 2024

ConditionNET: Learning Preconditions and Effects for Execution Monitoring

Daniel Sliwowski, Dongheui Lee

Comments 9 pages, 5 figures, 3 tables

Journal ref in IEEE Robotics and Automation Letters, vol. 10, no. 2, pp. 1337-1344, Feb. 2025

Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization

Johan Hatleskog, Kostas Alexis

Comments 8 pages, 5 figures, accepted by IEEE Robotics and Automation Letters (IEEE RAL). Supplementary video: https://www.youtube.com/watch?v=bKnHs_wwnXs. Code: https://github.com/ntnu-arl/drpm

Make a Donut: Hierarchical EMD-Space Planning for Zero-Shot Deformable Manipulation with Tools

Yang You, Bokui Shen, Congyue Deng, Haoran Geng, Songlin Wei, He Wang, Leonidas Guibas

Comments 8 pages. IEEE Robotics and Automation Letters (RA-L). Preprint Version. Accepted January, 2025

Swarm-Gen: Fast Generation of Diverse Feasible Swarm Behaviors

Simon Idoko, B. Bhanu Teja, K. Madhava Krishna, Arun Kumar Singh

Comments Submitted to RAL

Reinforcement Learning of Flexible Policies for Symbolic Instructions with Adjustable Mapping Specifications

Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara

Comments 8 pages, Accepted by IEEE Robotics and Automation Letters (RA-L)

On-Line Learning for Planning and Control of Underactuated Robots with Uncertain Dynamics

Giulio Turrisi, Marco Capotondi, Claudio Gaz, Valerio Modugno, Giuseppe Oriolo, Alessandro De Luca

Journal ref IEEE Robotics and Automation Letters, 2022, vol. 7, no. 1, pp. 358-365

Lifelong 3D Mapping Framework for Hand-held & Robot-mounted LiDAR Mapping Systems

Liudi Yang, Sai Manoj Prakhya, Senhua Zhu, Ziyuan Liu

Journal ref IEEE Robotics and Automation Letters, 2024

From Decision to Action in Surgical Autonomy: Multi-Modal Large Language Models for Robot-Assisted Blood Suction

Sadra Zargarzadeh, Maryam Mirzaei, Yafei Ou, Mahdi Tavakoli

Comments Accepted for Publication in IEEE Robotics and Automation Letters, 2025