IEEE RA-L

Research Challenges and Progress in Robotic Grasping and Manipulation Competitions

Yu Sun, Joe Falco, Maximo A. Roa, Berk Calli

Comments Accepted for publication by IEEE Robotics and Automation Letters

Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation

Niklas Funk, Charles Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters

Journal ref IEEE Robotics and Automation Letters 7 (2022) 478-485

Real-Time Ellipse Detection for Robotics Applications

Azarakhsh Keipour, Guilherme A. S. Pereira, Sebastian Scherer

Comments Accepted to RA-L and IROS 2021

Journal ref IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 7009-7016, Oct. 2021

Bridging the Model-Reality Gap with Lipschitz Network Adaptation

Siqi Zhou, Karime Pereida, Wenda Zhao, Angela P. Schoellig

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

Koopman Linearization for Data-Driven Batch State Estimation of Control-Affine Systems

Zi Cong Guo, Vassili Korotkine, James R. Forbes, Timothy D. Barfoot

Comments Accepted for publication in RA-L 2022. 9 pages, 5 figures, 1 table. Note: version submitted to RA-L did not include the Appendix section present in this arXiv version

Graph-Guided Deformation for Point Cloud Completion

Jieqi Shi, Lingyun Xu, Liang Heng, Shaojie Shen

Comments RAL with IROS 2021

Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors

Drew Hanover, Philipp Foehn, Sihao Sun, Elia Kaufmann, Davide Scaramuzza

Comments 8 Pages, 6 figures, Accepted RAL 2021

Journal ref IEEE Robotics and Automation Letters 0, 2377-3766, 2021

CT-CPP: Coverage Path Planning for 3D Terrain Reconstruction Using Dynamic Coverage Trees

Zongyuan Shen, Junnan Song, Khushboo Mittal, Shalabh Gupta

Journal ref in IEEE Robotics and Automation Letters, vol. 7, no. 1, pp. 135-142, Jan. 2022

Deep Measurement Updates for Bayes Filters

Johannes Pankert, Maria Vittoria Minniti, Lorenz Wellhausen, Marco Hutter

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 1, pp. 414-421, Jan. 2022

Testing Robot System Safety by creating Hazardous Human Worker Behavior in Simulation

Tom P. Huck, Christoph Ledermann, Torsten Kröger

Comments This paper is accepted for publication in the IEEE Robotics and Automation Letters (RA-L). It is published here as a preprint in accordance with IEEE policy. The final published version may differ. Please note the copyright notice on the paper

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform

Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall

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

ACD-EDMD: Analytical Construction for Dictionaries of Lifting Functions in Koopman Operator-based Nonlinear Robotic Systems

Lu Shi, Konstantinos Karydis

Comments Accepted to IEEE Robotics and Automation Letters (RA-L), November 2021

Learning Robotic Manipulation Tasks via Task Progress based Gaussian Reward and Loss Adjusted Exploration

Sulabh Kumra, Shirin Josh, Ferat Sahin

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

Submodular Optimization for Coupled Task Allocation and Intermittent Deployment Problems

Jun Liu, Ryan K. Williams

Journal ref IEEE Robotics and Automation Letters, 2019

Distributed Resilient Submodular Action Selection in Adversarial Environments

Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams

Journal ref IEEE Robotics and Automation Letters, 2021

A Formal Characterization of Black-Box System Safety Performance with Scenario Sampling

Bowen Weng, Linda Capito, Umit Ozguner, Keith Redmill

Comments A shorter version of this manuscript has been accepted to be published at IEEE Robotics and Automation Letters (RA-L)

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 1, pp. 199-206, Jan. 2022

Uncertainty for Identifying Open-Set Errors in Visual Object Detection

Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub

Journal ref IEEE Robotics and Automation Letters (January 2022), Volume 7, Issue 1, pages 215-222, ISSN 2377-3766

RANSIC: Fast and Highly Robust Estimation for Rotation Search and Point Cloud Registration using Invariant Compatibility

Lei Sun

Journal ref IEEE Robotics and Automation Letters ( Volume: 7, Issue: 1, Jan. 2022)

ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking

Nicola A. Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale

Comments To cite this work, please refer to the journal reference entry. For more information, code, pictures and video please visit https://github.com/hsp-iit/roft

Journal ref IEEE Robotics and Automation Letters Volume 7, Issue 1, Jan. 2022, pp 159-166

Using Monocular Vision and Human Body Priors for AUVs to Autonomously Approach Divers

Michael Fulton, Jungseok Hong, Junaed Sattar

Comments 14 pages, under review for ICRA22-RAL

Subdimensional Expansion for Multi-objective Multi-agent Path Finding

Zhongqiang Ren, Sivakumar Rathinam, Howie Choset

Comments 8 pages, RA-L and IROS 2021

MSC-VO: Exploiting Manhattan and Structural Constraints for Visual Odometry

Joan P. Company-Corcoles, Emilio Garcia-Fidalgo, Alberto Ortiz

Comments Submitted to RAL + ICRA 2022

Learning to Manipulate Tools by Aligning Simulation to Video Demonstration

Kateryna Zorina, Justin Carpentier, Josef Sivic, Vladimír Petrík

Comments Accepted to IEEE Robotics and Automation Letters (RA-L)

Exact and Bounded Collision Probability for Motion Planning under Gaussian Uncertainty

Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto

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

Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning

Daniel Honerkamp, Tim Welschehold, Abhinav Valada

Comments Accepted for publication in RA-L. Code and Models: http://rl.uni-freiburg.de/research/kinematic-feasibility-rl

Journal ref IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 4, pp. 6289-6296, 2021

SLIP Walking over Rough Terrain via H-LIP Stepping and Backstepping-Barrier Function Inspired Quadratic Program

Xiaobin Xiong, Aaron Ames

Comments 8 pages, 7 figures. To Appear in IEEE Robotics and Automation Letters, 2021

SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping

Hanwen Cao, Hao-Shu Fang, Wenhai Liu, Cewu Lu

Journal ref IEEE ROBOTICS AND AUTOMATION LETTERS, VOL. 6, NO. 4, 2021

Integrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery

Zhe Chen, Javier Alonso-Mora, Xiaoshan Bai, Daniel D. Harabor, Peter J. Stuckey

Journal ref IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 5816-5823, July 2021

Deformation-Aware Robotic 3D Ultrasound

Zhongliang Jiang, Yue Zhou, Yuan Bi, Mingchuan Zhou, Thomas Wendler, Nassir Navab

Comments Accepted for publication in IEEE Robotics and Automation Letters; Video: https://www.youtube.com/watch?v=MlZtugQ2cvQ

Journal ref IEEE Robotics and Automation Letters 2021

IDDA: a large-scale multi-domain dataset for autonomous driving

Emanuele Alberti, Antonio Tavera, Carlo Masone, Barbara Caputo

Comments Accepted at IROS 2020 and RA-L. Download at: https://idda-dataset.github.io/home/

Journal ref IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 5526-5533, Oct. 2020