IEEE RA-L

Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads

Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine

Journal ref IEEE Robotics and Automation Letters 2021

Ground-aware Monocular 3D Object Detection for Autonomous Driving

Yuxuan Liu, Yuan Yixuan, Ming Liu

Comments 8 pages, 6 figures, accepted by IEEE Robotics and Automation Letters (RA-L)

Learning-based Optoelectronically Innervated Tactile Finger for Rigid-Soft Interactive Grasping

Linhan Yang, Xudong Han, Weijie Guo, Fang Wan, Jia Pan, Chaoyang Song

Comments 8 pages,9 figures, Submitted to RAL and ICRA2021

Efficient Trajectory Planning for Multiple Non-holonomic Mobile Robots via Prioritized Trajectory Optimization

Juncheng Li, Maopeng Ran, Lihua Xie

Comments 8 pages, to be published in IEEE Robotics and Automation Letters (RA-L), source code is available at: https://github.com/LIJUNCHENG001/multi_robot_traj_planner

A Lifelong Learning Approach to Mobile Robot Navigation

Bo Liu, Xuesu Xiao, Peter Stone

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

Intelligent Reference Curation for Visual Place Recognition via Bayesian Selective Fusion

Timothy L. Molloy, Tobias Fischer, Michael Milford, Girish N. Nair

Comments 8 pages, 10 figures, accepted in the IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters 6(2):588-595, 2021

Virtual Surfaces and Attitude Aware Planning and Behaviours for Negative Obstacle Navigation

Thomas Hines, Kazys Stepanas, Fletcher Talbot, Inkyu Sa, Jake Lewis, Emili Hernandez, Navinda Kottege, Nicolas Hudson

Comments 8 pages, 11 figures, submitted to RA-L

Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination

Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone

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

Autonomous Robotic Suction to Clear the Surgical Field for Hemostasis using Image-based Blood Flow Detection

Florian Richter, Shihao Shen, Fei Liu, Jingbin Huang, Emily K. Funk, Ryan K. Orosco, Michael C. Yip

Comments Accepted to IEEE Robotics and Automation Letters January, 2021, 8 pages, 8 figures, 1 table

RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch

Haruki Nishimura, Negar Mehr, Adrien Gaidon, Mac Schwager

Comments To appear in IEEE Robotics and Automation Letters

Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition

Shijie Li, Jinhui Yi, Yazan Abu Farha, Juergen Gall

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

Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation?

Keenan Burnett, Angela P. Schoellig, Timothy D. Barfoot

Comments Accepted for publication in ICRA/RA-L 2021. Version 3

Mixed-Integer Linear Programming Models for Multi-Robot Non-Adversarial Search

Beatriz A. Asfora, Jacopo Banfi, Mark Campbell

Comments Published at IEEE Robotics and Automation Letters, presented at IROS 2020. Presentation available at https://youtu.be/BhUczcDq3Dc Code is open source and available at https://github.com/basfora/milp_mespp.git

Journal ref IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 6805-6812, Oct. 2020

Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning

Nathan Lambert, Craig Schindler, Daniel Drew, Kristofer Pister

Comments 7 pages, 1 page appendix

Journal ref IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 455-461, April 2021

Persistent Multi-UAV Surveillance with Data Latency Constraints

Jürgen Scherer, Bernhard Rinner

Journal ref IEEE Robotics and Automation Letters (Volume: 5, Issue: 3, July 2020)

Resilient Task Allocation in Heterogeneous Multi-Robot Systems

Siddharth Mayya, Diego S. D'antonio, David Saldaña, Vijay Kumar

Comments A modified version has been submitted to IEEE Robotics and Automation Letters

Point Set Voting for Partial Point Cloud Analysis

Junming Zhang, Weijia Chen, Yuping Wang, Ram Vasudevan, Matthew Johnson-Roberson

Comments IEEE Robotics and Automation Letters (RA-L)

Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes

Todor Davchev, Michael Burke, Subramanian Ramamoorthy

Journal ref IEEE Robotics and Automation Letters 2021

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

M. Palieri, B. Morrell, A Thakur, K. Ebadi, J. Nash, A. Chatterjee, C. Kanellakis, L. Carlone, C. Guaragnella, A. Agha-mohammadi

Comments Accepted for publication at IEEE Robotics and Automation Letters, 2020

FUEL: Fast UAV Exploration using Incremental Frontier Structure and Hierarchical Planning

Boyu Zhou, Yichen Zhang, Xinyi Chen, Shaojie Shen

Comments Accepted by RA-L; Code: https://github.com/HKUST-Aerial-Robotics/FUEL; Video: https://www.youtube.com/watch?v=_dGgZUrWk-8

Approximate Simulation for Template-Based Whole-Body Control

Vince Kurtz, Patrick M. Wensing, Hai Lin

Comments Accepted to RA-L

Using Reinforcement Learning to Herd a Robotic Swarm to a Target Distribution

Zahi M. Kakish, Karthik Elamvazhuthi, Spring Berman

Comments Paper was submitted to Conference on Robot Learning 2019 and IEEE Robotics and Automation Letters 2020 Revised, updated, and submitted to DARS/SWARMS 2021

Dynamical System Segmentation for Information Measures in Motion

Thomas A. Berrueta, Ana Pervan, Kathleen Fitzsimons, Todd D. Murphey

Comments 8 pages

Journal ref IEEE Robotics and Automation Letters, vol. 4, no. 1, pp. 169-176, 2019

Multiple Hypothesis Semantic Mapping for Robust Data Association

Lukas Bernreiter, Abel Gawel, Hannes Sommer, Juan Nieto, Roland Siegwart, Cesar Cadena

Journal ref IEEE Robotics and Automation Letters ( Volume: 4, Issue: 4, Oct. 2019)

EGO-Planner: An ESDF-free Gradient-based Local Planner for Quadrotors

Xin Zhou, Zhepei Wang, Hongkai Ye, Chao Xu, Fei Gao

Comments RA-L(Accepted) with ICRA2021(Under review) option

From pixels to percepts: Highly robust edge perception and contour following using deep learning and an optical biomimetic tactile sensor

Nathan F. Lepora, Alex Church, Conrad De Kerckhove, Raia Hadsell, John Lloyd

Comments Accepted in RAL and ICRA 2019. N. Lepora and J. Lloyd contributed equally to this work

Journal ref IEEE Robotics and Automation Letters 4(2), 2101-2107, 2019

Boosting Deep Open World Recognition by Clustering

Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo

Comments IROS/RAL 2020

Journal ref IEEE Robotics and Automation Letters 2020

Deep Probabilistic Feature-metric Tracking

Binbin Xu, Andrew J. Davison, Stefan Leutenegger

Comments RAL 2020. 8 pages, 9 figures, video link: https://youtu.be/6pMosl6ZAPE

Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach

Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone

Comments 8 pages, 3 figures, 2 tables. IEEE Robotics and Automation Letters (RA-L), 2020

Mobile Manipulator for Autonomous Localization, Grasping and Precise Placement of Construction Material in a Semi-structured Environment

Petr Stibinger, George Broughton, Filip Majer, Zdenek Rozsypalek, Anthony Wang, Kshitij Jindal, Alex Zhou, Dinesh Thakur, Giuseppe Loianno, Tomas Krajnik, Martin Saska

Comments 8 pages, 11 figures, submitted to IEEE ICRA and RA-L 2021, under review