IEEE RA-L

Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems

Sushmita Bhattacharya, Sahil Badyal, Thomas Wheeler, Stephanie Gil, Dimitri Bertsekas

Comments Total 9 pages, 9 figures, 1 table, submitted and accepted to be published in IEEE RA-L 2020

RSL-Net: Localising in Satellite Images From a Radar on the Ground

Tim Y. Tang, Daniele De Martini, Dan Barnes, Paul Newman

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

An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments

Lukas Schmid, Michael Pantic, Raghav Khanna, Lionel Ott, Roland Siegwart, Juan Nieto

Comments 8 pages, 6 figures, video: https://youtu.be/lEadqJ1_8Do, framework: https://github.com/ethz-asl/mav_active_3d_planning

Journal ref IEEE Robotics and Automation Letters, Vol. 5, Iss. 2, April 2020

Retraction of Soft Growing Robots without Buckling

Margaret M. Coad, Rachel P. Thomasson, Laura H. Blumenschein, Nathan S. Usevitch, Elliot W. Hawkes, Allison M. Okamura

Comments Under review for the IEEE Robotics and Automation Letters. Video available at https://www.youtube.com/watch?v=Vw8cArH0vxk

DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning

Vassilios Tsounis, Mitja Alge, Joonho Lee, Farbod Farshidian, Marco Hutter

Comments In IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA) 2020 in Paris, France

Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points

Yutao Han, Rina Tse, Mark Campbell

Comments 9 pages, 9 figures, published in IEEE Robotics and Automation Letters (RA-L). Video attachment at: https://www.youtube.com/watch?v=6z5NYIcXV_M&

Journal ref IEEE Robotics and Automation Letters (Volume: 4 , Issue: 3 , July 2019)

A Deep Learning Approach to Grasping the Invisible

Yang Yang, Hengyue Liang, Changhyun Choi

Comments Accepted to the IEEE Robotics and Automation Letters (RA-L). Project page: https://sites.google.com/umn.edu/grasping-invisible

Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty

Glen Chou, Necmiye Ozay, Dmitry Berenson

Comments Accepted to the IEEE Robotics and Automation Letters

Online Trajectory Generation with Distributed Model Predictive Control for Multi-Robot Motion Planning

Carlos E. Luis, Marijan Vukosavljev, Angela P. Schoellig

Comments 8 pages, 8 figures

Journal ref IEEE Robotics and Automation Letters, vol. 5, iss. 2, pp. 604-611, 2020

Reactive Navigation under Non-Parametric Uncertainty through Hilbert Space Embedding of Probabilistic Velocity Obstacles

P. S. Naga Jyotish, Bharath Gopalakrishnan, A. V. S. Sai Bhargav Kumar, Arun Kumar Singh, K. Madhava Krishna, Dinesh Manocha

Comments 17 pages, 16 figures, 2 tables, accepted in IEEE Robotics and Automation Letters (RA-L)

An Adversarial Approach to Private Flocking in Mobile Robot Teams

Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok

Comments 10 pages, 13 figures

Journal ref IEEE Robotics and Automation Letters (2020)

What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction

Christoph Schöller, Vincent Aravantinos, Florian Lay, Alois Knoll

Comments Accepted for publication in the IEEE Robotics and Automation Letters (RA-L) and for presentation at the 2020 International Conference on Robotics and Automation (ICRA)

Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations

Lin Wang, Wonjune Cho, Kuk-Jin Yoon

Comments 8pages, Accepted on IEEE Robotics and Automation Letters (RAL)

Sensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data

Athma Narayanan, Avinash Siravuru, Behzad Dariush

Comments Accepted to Robotics and Automation Letters 2020

Robust Humanoid Contact Planning with Learned Zero- and One-Step Capturability Prediction

Yu-Chi Lin, Ludovic Righetti, Dmitry Berenson

Comments Accepted by IEEE Robotics and Automation Letters (RA-L) (To Appear)

DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination

Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Chris Xiaoxuan Lu, Yasin Almalioglu, Stefano Rosa, Changhao Chen, Johan Wahlström, Wei Wang, Andrew Markham, Niki Trigoni

Comments Accepted to IEEE Robotics and Automation Letters (RAL)

Bayesian Local Sampling-based Planning

Tin Lai, Philippe Morere, Fabio Ramos, Gilad Francis

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

Robust 2 1/2D Visual Servoing of a Cable-Driven Parallel Robot Thanks to Trajectory Tracking

Zane Zake, François Chaumette, Nicolò Pedemonte, Stéphane Caro

Comments IEEE Robotics and Automation Letters, IEEE In press

Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach

Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes

Comments 8 pages, To appear, IEEE Robotics and Automation Letters 2020

A Reliable Gravity Compensation Control Strategy for dVRK Robotic Arms With Nonlinear Disturbance Forces

Hongbin Lin, C. W. Vincent Hui, Yan Wang, Anton Deguet, Peter Kazanzides, K. W. Samuel Au

Journal ref IEEE Robotics and Automation Letters 4.4 (2019): 3892-3899

A Lightweight and Accurate Localization Algorithm Using Multiple Inertial Measurement Units

Ming Zhang, Yiming Chen, Xiangyu Xu, Mingyang Li

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

Direct Visual-Inertial Ego-Motion Estimation via Iterated Extended Kalman Filter

Shangkun Zhong, Pakpong Chirarattananon

Comments IEEE Robotics and Automation Letters, IEEE In press

THÖR: Human-Robot Navigation Data Collection and Accurate Motion Trajectories Dataset

Andrey Rudenko, Tomasz P. Kucner, Chittaranjan S. Swaminathan, Ravi T. Chadalavada, Kai O. Arras, Achim J. Lilienthal

Comments 7 pages, to appear in RA-L, awaiting decision for the ICRA 2020 conference option

Design and Control of a Variable Aerial Cable Towed System

Zhen Li, Julian Erskine, Stéphane Caro, Abdelhamid Chriette

Comments IEEE Robotics and Automation Letters, IEEE In press

Benchmarking In-Hand Manipulation

Silvia Cruciani, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, Danica Kragic

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

SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory

Steven W. Chen, Guilherme V. Nardari, Elijah S. Lee, Chao Qu, Xu Liu, Roseli A. F. Romero, Vijay Kumar

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

A Multimodal Target-Source Classifier with Attention Branches to Understand Ambiguous Instructions for Fetching Daily Objects

Aly Magassouba, Komei Sugiura, Hisashi Kawai

Comments 9 pages, 5 figures, accepted for IEEE Robotics and Automation Letters

Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting

Jean Mercat, Thomas Gilles, Nicole El Zoghby, Guillaume Sandou, Dominique Beauvois, Guillermo Pita Gil

Comments 7 pages, 4 figures, under review at ICRA and RA-L

DDM: Fast Near-Optimal Multi-Robot Path Planning using Diversified-Path and Optimal Sub-Problem Solution Database Heuristics

Shuai D. Han, Jingjin Yu

Comments Submitted to RA-L and ICRA 2020

0-Step Capturability, Motion Decomposition and Global Feedback Control of the 3D Variable Height-Inverted Pendulum

Gabriel Garcia, Robert Griffin, Jerry Pratt

Comments 13 pages, 12 figures, To be submitted - RA-L