IEEE RA-L

CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy

Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman

Comments Accepted at ICRA'21/RA-L'21. Author version with 9 pages, 5 figures, 2 algorithms

LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation

Jingdao Chen, Zsolt Kira, Yong K. Cho

Journal ref IEEE Robotics and Automation Letters 2021

Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks

Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert

Comments the article has been accepted for publication in IEEE Robotics and Automation Letters (RA-L); the article has been submitted to RA-L with IEEE ICRA conference option; if the article will be presented during the conference will be decided independently; 8 pages, 5 figures, 6 tables

Learning Spring Mass Locomotion: Guiding Policies with a Reduced-Order Model

Kevin Green, Yesh Godse, Jeremy Dao, Ross L. Hatton, Alan Fern, Jonathan Hurst

Comments 7 pages, 8 figures. Accepted to IEEE Robotics and Automation Letters (RA-L) with ICRA 2021 presentation option. Video supplement: https://youtu.be/80oJeaAd8CE Code: https://github.com/osudrl/ASLIP-RL

DSEC: A Stereo Event Camera Dataset for Driving Scenarios

Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza

Comments IEEE Robotics and Automation Letters

Are We Ready for Unmanned Surface Vehicles in Inland Waterways? The USVInland Multisensor Dataset and Benchmark

Yuwei Cheng, Mengxin Jiang, Jiannan Zhu, Yimin Liu

Comments 8 pages, 11 figures, to be published in IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA) 2021

Uncertainty-aware Contact-safe Model-based Reinforcement Learning

Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara

Comments 8 pages, Accepted by Robotics and Automation Letters with ICRA 2021 option

Human-Piloted Drone Racing: Visual Processing and Control

Christian Pfeiffer, Davide Scaramuzza

Comments 8 pages, 6 figures

Journal ref IEEE Robotics and Automation Letters (RA-L), 2021

Learning a State Representation and Navigation in Cluttered and Dynamic Environments

David Hoeller, Lorenz Wellhausen, Farbod Farshidian, Marco Hutter

Comments 8 pages, 8 figures, 2 tables

Journal ref IEEE Robotics and Automation Letters 2021

ERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building

Hyungtae Lim, Sungwon Hwang, Hyun Myung

Comments 9 pages, 9 figures, RA-L with ICRA 2021 accepted

A Hybrid Dynamical Modeling Framework for Shape Memory Alloy Wire Actuated Structures

Michele A. Mandolino, Francesco Ferrante, Gianluca Rizzello

Comments IEEE ROBOTICS AND AUTOMATION LETTERS. PREPRINT VERSION. ACCEPTED MARCH, 2021

Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching

Tu-Hoa Pham, William Seto, Shreyansh Daftry, Barry Ridge, Johanna Hansen, Tristan Thrush, Mark Van der Merwe, Gerard Maggiolino, Alexander Brinkman, John Mayo, Yang Cheng, Curtis Padgett, Eric Kulczycki, Renaud Detry

Comments To appear in IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA 2021)

Data-Driven MPC for Quadrotors

Guillem Torrente, Elia Kaufmann, Philipp Foehn, Davide Scaramuzza

Comments 8 pages

Journal ref IEEE Robotics and Automation Letters (RA-L), 2021

Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling

Xin Ye, Yezhou Yang

Comments RA-L & ICRA21

Robotic Pick-and-Place With Uncertain Object Instance Segmentation and Shape Completion

Marcus Gualtieri, Robert Platt

Comments Supplementary material available for download: source code (https://github.com/mgualti/GeomPickPlace), supplemental results (https://github.com/mgualti/GeomPickPlace/raw/main/Notes/supplemental.pdf), and video (https://youtu.be/OBGf7L3iKsM)

Journal ref IEEE Robotics and Automation Letters (2021)

Learning-based Bias Correction for Time Difference of Arrival Ultra-wideband Localization of Resource-constrained Mobile Robots

Wenda Zhao, Jacopo Panerati, Angela P. Schoellig

Comments 8 pages, 9 figures, accepted for publication on the IEEE Robotics and Automation Letters and presentation at ICRA 2021

Path continuity for multi-wheeled AGVs

Mirko Kokot, Damjan Miklić, Tamara Petrović

Comments 8 pages, 8 figures, 1 table, submitted to RA-L with CASE option

A Unified MPC Framework for Whole-Body Dynamic Locomotion and Manipulation

Jean-Pierre Sleiman, Farbod Farshidian, Maria Vittoria Minniti, Marco Hutter

Comments 8 Pages, 8 Figures, 1 Table. To be published in IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA) 2021 in Xi'an, China

Online Extrinsic Calibration based on Per-Sensor Ego-Motion Using Dual Quaternions

Markus Horn, Thomas Wodtko, Michael Buchholz, Klaus Dietmayer

Comments 8 pages, 6 figures, 2 tables, published in RA-L

Journal ref IEEE Robotics and Automation Letters 6 (2), 982-989, 2021

Human-in-the-loop Auditory Cueing Strategy for Gait Modification

Tina LY Wu, Anna Murphy, Chao Chen, Dana Kulic

Comments 8 pages, 11 figures. It has been accepted to IEEE Robotics and Automation Letters (RA-L) 2021

Journal ref IEEE Robotics and Automation Letters (2021) 1-8

Path Planning for Manipulation using Experience-driven Random Trees

Èric Pairet, Constantinos Chamzas, Yvan Petillot, Lydia E. Kavraki

Comments IEEE Robotics and Automation Letters

Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions

Jui-Te Huang, Chen-Lung Lu, Po-Kai Chang, Ching-I Huang, Chao-Chun Hsu, Zu Lin Ewe, Po-Jui Huang, Hsueh-Cheng Wang

Comments For further details, please visit https://arg-nctu.github.io/projects/deeprl-mmWave.html

Journal ref IEEE Robotics and Automation Letters, 2021

Learning to Assist Drone Landings

Kal Backman, Dana Kulić, Hoam Chung

Comments 8 pages, 8 figures. Accepted for IEEE Robotics and Automation Letters (RA-L) 2021

SKD: Keypoint Detection for Point Clouds using Saliency Estimation

Georgi Tinchev, Adrian Penate-Sanchez, Maurice Fallon

Comments Accepted for publication at 2021 IEEE Robotics and Automation Letters (RA-L) + IEEE International Conference on Robotics and Automation (ICRA) presentation option. Video preview available here: https://youtu.be/Wx6FEWCgWDk

Autonomous Quadrotor Flight despite Rotor Failure with Onboard Vision Sensors: Frames vs. Events

Sihao Sun, Giovanni Cioffi, Coen de Visser, Davide Scaramuzza

Comments 8 pages, 10 figures

Journal ref IEEE Robotics and Automation Letters 6 (2), 580-587, 2021

Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation Agents

Joanne Truong, Sonia Chernova, Dhruv Batra

Journal ref IEEE Robotics and Automation Letters (RA-L) 2021

Robot Learning with Crash Constraints

Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe

Comments 8 pages, 4 figures, 1 table, 1 algorithm. Accepted for publication in IEEE Robotics and Automation Letters (RA-L). Video demonstration of the experiments available at https://youtu.be/RAiIo0l6_rE . Algorithm implementation available at https://github.com/alonrot/classified_regression.git

Journal ref IEEE Robotics and Automation Letters, Vol 6(2), pp. 1439-1446, 2021

Can I Pour into It? Robot Imagining Open Containability Affordance of Previously Unseen Objects via Physical Simulations

Hongtao Wu, Gregory S. Chirikjian

Comments IEEE Robotics and Automation Letters. Video demos are available on https://chirikjianlab.github.io/realcontainerimagination/

SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition

Sourav Garg, Michael Milford

Comments Accepted for publication in IEEE RA-L 2021; includes supplementary

Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments

Hai Zhu, Francisco Martinez Claramunt, Bruno Brito, Javier Alonso-Mora

Comments 8 pages, 5 figures, IEEE Robotics and Automation Letters