ICRA

Tactile Mapping and Localization from High-Resolution Tactile Imprints

Maria Bauza, Oleguer Canal, Alberto Rodriguez

Comments ICRA 2019, 7 pages, 7 figures. Website: http://web.mit.edu/mcube/research/tactile_localization.html Video: https://youtu.be/uMkspjmDbqs

Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor

Sebastian Glatz, Julien N. P. Martel, Raphaela Kreiser, Ning Qiao, Yulia Sandamirskaya

Comments 6+1 pages, 4 figures, will appear in one of the Robotics conferences

Journal ref IEEE International Conference on Robotics and Automation (ICRA) 2019

Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images

Kuniyuki Takahashi, Jethro Tan

Comments 7 pages. Accepted to International Conference on Robotics and Automation (ICRA 2019). Best Paper Award finalist at ICRA2019. An accompanied video is available at https://youtu.be/ys0QtKVVlOQ

Visual Appearance Analysis of Forest Scenes for Monocular SLAM

James Garforth, Barbara Webb

Comments Accepted to ICRA 2019

Visual Representations for Semantic Target Driven Navigation

Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, Ayzaan Wahid, James Davidson

Comments Accepted to ICRA 2019 and ECCV 2018 Workshop on Visual Learning and Embodied Agents in Simulation Environments

Methodology of Designing Multi-agent Robot Control Systems Utilising Hierarchical Petri Nets

Maksym Figat, Cezary Zieliński

Comments IEEE International Conference on Robotics and Automation, ICRA, 2019

LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles

Fan Zeng, Adam Jacobson, David Smith, Nigel Boswell, Thierry Peynot, Michael Milford

Comments 7 pages, 7 figures, accepted for IEEE ICRA 2019

Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments

Jesus Tordesillas, Brett T. Lopez, John Carter, John Ware, Jonathan P. How

Comments ICRA 2019

Geo-Supervised Visual Depth Prediction

Xiaohan Fei, Alex Wong, Stefano Soatto

Comments ICRA 2019, RA-L 2019

Visual-Inertial Navigation: A Concise Review

Guoquan Huang

Comments Presented at ICRA 2019

Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition

Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, Barbara Caputo

Comments ICRA 2019

Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network

Wenchao Ding, Jing Chen, Shaojie Shen

Comments 6+n pages. Accepted to International Conference on Robotics and Automation (ICRA) 2019. IEEE copyright

Graduated Fidelity Lattices for Motion Planning under Uncertainty

Adrián González-Sieira, Manuel Mucientes, Alberto Bugarín

Comments Text accepted for publication in the 2019 IEEE International Conference on Robotics and Automation (ICRA)

Dynamic Traffic Scene Classification with Space-Time Coherence

Athma Narayanan, Isht Dwivedi, Behzad Dariush

Comments accpeted in (International Conference on Robotics and Automation)ICRA 2019

Scene Induced Multi-Modal Trajectory Forecasting via Planning

Nachiket Deo, Mohan M. Trivedi

Comments ICRA Workshop on Long Term Human Motion Prediction (extended abstract)

Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search

Ali Yahya, Adrian Li, Mrinal Kalakrishnan, Yevgen Chebotar, Sergey Levine

Comments Submitted to the IEEE International Conference on Robotics and Automation 2017

Online Deep Learning for Improved Trajectory Tracking of Unmanned Aerial Vehicles Using Expert Knowledge

Andriy Sarabakha, Erdal Kayacan

Comments corrected version accepted for ICRA 2019

Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving

Jiaolong Xu, Peng Wang, Heng Yang, Antonio M. López

Comments Accepted by ICRA 2019

Deep Haptic Model Predictive Control for Robot-Assisted Dressing

Zackory Erickson, Henry M. Clever, Greg Turk, C. Karen Liu, Charles C. Kemp

Comments 8 pages, 12 figures, 1 table, 2018 IEEE International Conference on Robotics and Automation (ICRA)

Depth Estimation on Underwater Omni-directional Images Using a Deep Neural Network

Haofei Kuang, Qingwen Xu, Sören Schwertfeger

Comments 7 pages, 8 figures, 1 table, accepted by 2019 ICRA workshop "Underwater Robotics Perception"

Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?

Mubariz Zaffar, Ahmad Khaliq, Shoaib Ehsan, Michael Milford, Kostas Alexis, Klaus McDonald-Maier

Comments IEEE ICRA 2019 Workshop on Aerial Robotics 8 pages, 7 figures

Gaussian Processes Online Observation Classification for RSSI-based Low-cost Indoor Positioning Systems

Maani Ghaffari Jadidi, Mitesh Patel, Jaime Valls Miro

Comments Accepted for 2017 ICRA, final submission

Characterizing SLAM Benchmarks and Methods for the Robust Perception Age

Wenkai Ye, Yipu Zhao, Patricio A. Vela

Comments 7 pages, 5 figures, accepted at ICRA 2019 Workshop on Dataset Generation and Benchmarking of SLAM Algorithms for Robotics and VR/AR

Low-latency Visual SLAM with Appearance-Enhanced Local Map Building

Yipu Zhao, Wenkai Ye, Patricio A. Vela

Comments 7 pages, 6 figures, accepted at ICRA 2019

REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning

Brian Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman

Comments Extended version of paper accepted to ICRA 2019

Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing

Tønnes F. Nygaard, Jørgen Nordmoen, Charles P. Martin, Kyrre Glette

Comments Accepted to the Learning Legged Locomotion Workshop @ ICRA 2019

ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM

Oliver Struckmeier, Kshitij Tiwari, Martin J. Pearson, Ville Kyrki

Comments 2 pages, 5 figures, ICRA 2019 workshop

RaD-VIO: Rangefinder-aided Downward Visual-Inertial Odometry

Bo Fu, Kumar Shaurya Shankar, Nathan Michael

Comments Accepted by ICRA 2019

Stanford Doggo: An Open-Source, Quasi-Direct-Drive Quadruped

Nathan Kau, Aaron Schultz, Natalie Ferrante, Patrick Slade

Comments Accepted to the IEEE International Conference on Robotics and Automation 2019

Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter

Douglas Morrison, Peter Corke, Jürgen Leitner

Comments ICRA 2019 Video: https://youtu.be/Vn3vSPKlaEk Code: https://github.com/dougsm/mvp_grasp