IROS

Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations

Trevor Ablett, Yifan Zhai, Jonathan Kelly

Comments In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'21), Prague, Czech Republic, Sep. 27 - Oct. 1, 2021

Sociable and Ergonomic Human-Robot Collaboration through Action Recognition and Augmented Hierarchical Quadratic Programming

Francesco Tassi, Francesco Iodice, Elena De Momi, Arash Ajoudani

Comments 8 pages, 8 figures, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)

DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning

Ukcheol Shin, Kyunghyun Lee, In So Kweon

Comments Accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 (*First two authors are equal contributed)

3D Part Assembly Generation with Instance Encoded Transformer

Rufeng Zhang, Tao Kong, Weihao Wang, Xuan Han, Mingyu You

Comments 8 pages, 7 figures

Journal ref IROS 2022 and IEEE Robotics and Automation Letters (RA-L), 2022

City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent

Lena M. Downes, Dong-Ki Kim, Ted J. Steiner, Jonathan P. How

Comments 7 pages, 14 figures. Accepted to IROS 2022. Video highlight available at https://youtu.be/06MOR0ozQeI

Under Pressure: Learning to Detect Slip with Barometric Tactile Sensors

Abhinav Grover, Christopher Grebe, Philippe Nadeau, Jonathan Kelly

Comments In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'21) RoboTac Workshop: New Advances in Tactile Sensation, Interactive Perception, Control, and Learning, Prague, Czech Republic, Sep. 27, 2021

Inverse Kinematics as Low-Rank Euclidean Distance Matrix Completion

Filip Marić, Matthew Giamou, Ivan Petrović, Jonathan Kelly

Comments In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'20) Workshop on Bringing Geometric Methods to Robot Learning, Optimization and Control, Las Vegas, USA, Oct. 29, 2020

Mapping Mid-air Haptics with a Low-cost Tactile Robot

Noor Alakhawand, William Frier, Nathan F. Lepora

Comments 8 pages. Accepted in RA-L and IROS 2022

Accurate Instance-Level CAD Model Retrieval in a Large-Scale Database

Jiaxin Wei, Lan Hu, Chenyu Wang, Laurent Kneip

Comments Accepted by IROS 2022

An Under-Actuated Whippletree Mechanism Gripper based on Multi-Objective Design Optimization with Auto-Tuned Weights

Yusuke Tanaka, Yuki Shirai, Zachary Lacey, Xuan Lin, Jane Liu, Dennis Hong

Comments Accepted for IROS 2021

Journal ref 2110.00083 2021

Robot-Assisted Nuclear Disaster Response: Report and Insights from a Field Exercise

Manolis Chiou, Georgios-Theofanis Epsimos, Grigoris Nikolaou, Pantelis Pappas, Giannis Petousakis, Stefan Mühl, Rustam Stolkin

Comments Pre-print version of the accepted paper to appear in IEEE IROS 2022

Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles

Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Ricardo Bedin Grando, Rodrigo da Silva Guerra, Paulo Lilles Jorge Drews

Comments Accepted to the IEEE International Conference on Intelligent Robots and Systems (IROS) 2022

Situational Graphs for Robot Navigation in Structured Indoor Environments

Hriday Bavle, Jose Luis Sanchez-Lopez, Muhammad Shaheer, Javier Civera, Holger Voos

Comments 8 pages, 6 figures, RAL/IROS 2022

Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning

Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomas Lozano-Perez, Leslie Pack Kaelbling

Comments IROS 2022 final version

EfficientGrasp: A Unified Data-Efficient Learning to Grasp Method for Multi-fingered Robot Hands

Kelin Li, Nicholas Baron, Xian Zhang, Nicolas Rojas

Comments This paper has been accepted for publication in IEEE Robotics and Automation Letters (RA-L), and for presentation at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)

BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR

Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman

Comments Accepted for publication at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022

Learning Pneumatic Non-Prehensile Manipulation with a Mobile Blower

Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas Funkhouser

Comments Accepted to IEEE Robotics and Automation Letters (RA-L), 2022 and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. Project page: https://learning-dynamic-manipulation.cs.princeton.edu

Stronger Together: Air-Ground Robotic Collaboration Using Semantics

Ian D. Miller, Fernando Cladera, Trey Smith, Camillo Jose Taylor, Vijay Kumar

Comments Sumbitted to RA-L and IROS

Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation

Yechao Bai, Ziyuan Huang, Lyuyu Shen, Hongliang Guo, Marcelo H. Ang, Daniela Rus

Comments Accepted to RA-L 2021. in IEEE Robotics and Automation Letters. The contents of this paper were also selected by the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) Program Committee for presentation at the Conference

Direct Bézier-Based Trajectory Planner for Improved Local Exploration of Unknown Environments

Lorenzo Gentilini, Dario Mengoli, Lorenzo Marconi

Comments Submitted to IROS 2022

Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping

Davide Tateo, Davide Antonio Cucci, Matteo Matteucci, Andrea Bonarini

Comments submitted to IROS 2015 (rejected)

Reinforcement Learning for Vision-based Object Manipulation with Non-parametric Policy and Action Primitives

Dongwon Son, Myungsin Kim, Jaecheol Sim, Wonsik Shin

Journal ref IROS 2021

Fast Simulation of Vehicles with Non-deformable Tracks

Martin Pecka, Karel Zimmermann, Tomáš Svoboda

Comments \c{opyright} 2017 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 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, pp. 6414-6419

Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion

Ukcheol Shin, Kyunghyun Lee, Byeong-Uk Lee, In So Kweon

Comments 8 pages, Accepted by IEEE Robotics and Automation Letters (RA-L) with IROS 2022 option

Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies

Jeong-Hoon Lee, Jongeun Choi

Comments Accepted to RAL-IROS 2022

End-to-End Learning to Grasp via Sampling from Object Point Clouds

Antonio Alliegro, Martin Rudorfer, Fabio Frattin, Aleš Leonardis, Tatiana Tommasi

Comments 8 pages, under review for RA-L/IROS 2022

MBAPose: Mask and Bounding-Box Aware Pose Estimation of Surgical Instruments with Photorealistic Domain Randomization

Masakazu Yoshimura, Murilo Marques Marinho, Kanako Harada, Mamoru Mitsuishi

Comments Accepted on IROS 2021, 8 pages

Journal ref 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 9445-9452

Multi-robot Task Assignment for Aerial Tracking with Viewpoint Constraints

Aaron Ray, Alyssa Pierson, Hai Zhu, Javier Alonso-Mora, Daniela Rus

Journal ref 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 1515-1522

Optimal Multi-robot Formations for Relative Pose Estimation Using Range Measurements

Charles Champagne Cossette, Mohammed Ayman Shalaby, David Saussie, Jerome Le Ny, James Richard Forbes

Comments 7 pages, 8 figures, submitted to International Conference on Intelligent Robots and Systems

Optimal Partitioning of Non-Convex Environments for Minimum Turn Coverage Planning

Megnath Ramesh, Frank Imeson, Baris Fidan, Stephen L. Smith

Comments 8 pages, 9 figures, submitted to RA-L with IROS 2022 option