| [1] | Yapeng Gao and Jonas Tebbe and Julian Krismer and Andreas Zell. {Markerless Racket Pose Detection and Stroke Classification based on Stereo Vision for Table Tennis Robots}. In 2019 Third IEEE International Conference on Robotic Computing (IRC), pages 189-196,, Naples, Italy,February, 2019. Bibtex@inproceedings{GaoIRC2019,title = {{Markerless Racket Pose Detection and Stroke Classification based on Stereo Vision for Table Tennis Robots}}, author = {Yapeng Gao and Jonas Tebbe and Julian Krismer and Andreas Zell}, booktitle = {2019 Third IEEE International Conference on Robotic Computing (IRC)}, year = {2019}, address = {Naples, Italy}, month = {February}, pages = {189-196}, owner = {gao}, project = {abt_zell}, timestamp = {2019.02.25}, } |
| [2] | Schulz, Cornelia and Hanten, Richard and Reisenauer, Matthias and Zell, Andreas. {Simultaneous Collaborative Mapping Based on Low-Bandwidth Communication}. In 2019 Third IEEE International Conference on Robotic Computing (IRC), pages 413-414,, Naples, Italy,February, 2019. Bibtex@inproceedings{SchulzIRC2019,title = {{Simultaneous Collaborative Mapping Based on Low-Bandwidth Communication}}, author = {Schulz, Cornelia and Hanten, Richard and Reisenauer, Matthias and Zell, Andreas}, booktitle = {2019 Third IEEE International Conference on Robotic Computing (IRC)}, abstract = {Multi-robot systems have become interesting for many robotic applications like cleaning, mowing and search and rescue (SAR) scenarios. Most applications require a consistent common map, e.g. for exploration area coverage or for the surveying task itself. Especially in absence of WiFi and in case of an autonomously operating swarm, this becomes a difficult problem. Therefore, we propose a multi-robot mapping system based on 868 MHz radio frequency modules. While other approaches only manage to map key features or communicate coarse approximations of submaps, we achieve consistent and accurate maps by exchanging small incremental updates. This way, our multiple robots obtain shared knowledge about the commonly processed area.}, year = {2019}, address = {Naples, Italy}, month = {February}, pages = {413-414}, owner = {schulz}, doi = {10.1109/IRC.2019.00076}, project = {abt_zell, robotics, ndt}, timestamp = {2019.02.25}, } |
| [3] | Julian Jordan and Andreas Zell. {Real-Time Model Based Path Planning for Wheeled Vehicles}. In IEEE International Conference on Robotics and Automation (ICRA), pages 5787-5792,, Montreal, Canada,May, 2019. Bibtex@inproceedings{JordanICRA2019,title = {{Real-Time Model Based Path Planning for Wheeled Vehicles}}, author = {Julian Jordan and Andreas Zell}, booktitle = {IEEE International Conference on Robotics and Automation (ICRA)}, abstract = {This work presents a model based traversability analysis method which employs a detailed vehicle model to perform real-time path planning in complex environments. The vehicle model represents the vehicle’s wheels and chassis, allowing it to accurately predict the vehicles 3D pose, detailed contact information for each wheel and the occurrence of a chassis collision given a 2D pose on an elevation map. These predictions are weighted, depending on the safety requirements of the vehicle, to provide a scoring function for an A*-like search strategy. The proposed method is designed to run at frame rates of 30Hz on data from a RGB-D sensor to provide reactive planning of safe paths. For evaluation, two wheeled mobile robots in different simulated and real world environment setups were tested to show the reliability and performance of the proposed method.}, pages = {5787-5792}, address = {Montreal, Canada}, year = {2019}, month = {May}, days = {20--24}, owner = {jordan}, project = {abt_zell, robotics, obstacle detection, model based, elevation map}, } |
| [4] | Kevin Alexander Laube and Andreas Zell. {ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search}. In IEEE International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary,July, 2019. [url]Bibtex@inproceedings{LaubeIJCNN2019,title = {{ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search}}, author = {Kevin Alexander Laube and Andreas Zell}, url = {https://arxiv.org/abs/1812.02975}, booktitle = {IEEE International Joint Conference on Neural Networks (IJCNN)}, address = {Budapest, Hungary}, year = {2019}, month = {July}, owner = {laube}, project = {abt_zell}, doi = {10.1109/IJCNN.2019.8852294}, timestamp = {2019.02.28}, } |
| [5] | Cornelia Schulz and Andreas Zell. {Sub-Pixel Resolution Techniques for Ray Casting in Low-Resolution Occupancy Grid Maps}. In European Conference on Mobile Robots (ECMR), pages ,, Prague, Czech Republic,September, 2019. Bibtex@inproceedings{SchulzECMR2019,title = {{Sub-Pixel Resolution Techniques for Ray Casting in Low-Resolution Occupancy Grid Maps}}, author = {Cornelia Schulz and Andreas Zell}, booktitle = {European Conference on Mobile Robots (ECMR)}, pages = {}, address = {Prague, Czech Republic}, year = {2019}, month = {September}, days = {4--6}, owner = {schulz}, doi = {10.1109/ECMR.2019.8870966}, project = {abt_zell, robotics, mapping, ndt}, } |
| [6] | Ya Wang and Andreas Zell. {Semantic Scene Segmentation of Unordered Point Clouds on Autonomous Robotics}. In European Conference on Mobile Robots (ECMR), pages ,, Prague, Czech Republic,September, 2019. Bibtex@inproceedings{WangECMR2019,title = {{Semantic Scene Segmentation of Unordered Point Clouds on Autonomous Robotics}}, author = {Ya Wang and Andreas Zell}, booktitle = {European Conference on Mobile Robots (ECMR)}, pages = {}, address = {Prague, Czech Republic}, year = {2019}, month = {September}, days = {4--6}, owner = {wang}, doi = {10.1109/ECMR.2019.8870932}, project = {abt_zell}, timestamp = {2019.09.04}, } |
| [7] | Gao, Yapeng and Tebbe, Jonas and Zell, Andreas. Real-time 6D Racket Pose Estimation and Classification
for Table Tennis Robots. , pages 23--39,September, 2019. [url]Bibtex@article{GaoIJRC2019,doi = {10.35708/rc1868-126249}, url = {https://doi.org/10.35708/rc1868-126249}, year = {2019}, month = {September}, publisher = {Institute for Semantic Computing Foundation}, volume = {1}, number = {1}, pages = {23--39}, author = {Gao, Yapeng and Tebbe, Jonas and Zell, Andreas}, title = {Real-time 6D Racket Pose Estimation and Classification for Table Tennis Robots}, project = {abt_zell}, journal = {International Journal of Robotic Computing}, } |
| [8] | Cornelia Schulz and Richard Hanten and Matthias Reisenauer and Andreas Zell. {Collaborative Mapping with Pose Uncertainties using different Radio Frequencies and Communication Modules}. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 8209-8214,, Macau, China,November, 2019. Bibtex@inproceedings{SchulzIROS2019,title = {{Collaborative Mapping with Pose Uncertainties using different Radio Frequencies and Communication Modules}}, author = {Cornelia Schulz and Richard Hanten and Matthias Reisenauer and Andreas Zell}, booktitle = {2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, pages = {8209-8214}, address = {Macau, China}, year = {2019}, month = {November}, days = {4--8}, owner = {schulz}, doi = {10.1109/IROS40897.2019.8968035}, project = {abt_zell, robotics, ndt}, } |
| [9] | Richard Hanten and Cornelia Schulz and Adrian Zwiener and Andreas Zell. {MuSe: Multi-Sensor Integration Strategies Applied to Sequential Monte Carlo Methods}. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 7798-7804,, Macau, China,November, 2019. Bibtex@inproceedings{HantenIROS2019,title = {{MuSe: Multi-Sensor Integration Strategies Applied to Sequential Monte Carlo Methods}}, author = {Richard Hanten and Cornelia Schulz and Adrian Zwiener and Andreas Zell}, booktitle = {2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, pages = {7798-7804}, address = {Macau, China}, year = {2019}, month = {November}, days = {4--8}, owner = {hanten}, doi = {10.1109/IROS40897.2019.8967893}, project = {abt_zell, robotics}, } |
| [10] | Adrian Zwiener and Richard Hanten and Cornelia Schulz and Andreas Zell. {ARMCL: ARM Contact point Localization via Monte Carlo Localization}. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 7105-7111,, Macau, China,November, 2019. Bibtex@inproceedings{ZwienerIROS2019,title = {{ARMCL: ARM Contact point Localization via Monte Carlo Localization}}, author = {Adrian Zwiener and Richard Hanten and Cornelia Schulz and Andreas Zell}, booktitle = {2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, pages = {7105-7111}, address = {Macau, China}, year = {2019}, month = {November}, days = {4--8}, owner = {zwiener}, doi = {10.1109/IROS40897.2019.8967907}, project = {abt_zell, robotics}, } |
| [11] | Valentin Bolz and Johannes Rueß and Andreas Zell. {Power Flow Approximation based on Graph Convolutional Networks}. In IEEE International Conference On Machine Learning And Applications (ICMLA), Boca Raton, Florida, USA,December, 2019. Bibtex@inproceedings{BolzICMLA2019,title = {{Power Flow Approximation based on Graph Convolutional Networks}}, author = {Valentin Bolz and Johannes Rueß and Andreas Zell}, booktitle = {IEEE International Conference On Machine Learning And Applications (ICMLA)}, address = {Boca Raton, Florida, USA}, year = {2019}, month = {December}, owner = {bolz}, project = {abt_zell}, doi = {10.1109/ICMLA.2019.00274}, timestamp = {2019.12.16}, } |
| [12] | Kevin Alexander Laube and Andreas Zell. {Prune and Replace NAS}. In IEEE International Conference On Machine Learning And Applications (ICMLA), Boca Raton, Florida, USA,December, 2019. [url]Bibtex@inproceedings{LaubeICMLA2019,title = {{Prune and Replace NAS}}, author = {Kevin Alexander Laube and Andreas Zell}, url = {https://arxiv.org/abs/1906.07528}, booktitle = {IEEE International Conference On Machine Learning And Applications (ICMLA)}, address = {Boca Raton, Florida, USA}, year = {2019}, month = {December}, owner = {laube}, project = {abt_zell}, doi = {10.1109/ICMLA.2019.00158}, timestamp = {2019.12.16}, } |
| [13] | Huski{\'c}, Goran and Buck, Sebastian and Herrb, Matthieu and Lacroix, Simon and Zell, Andreas. High-speed path following control of skid-steered vehicles. , pages 0278364919859634,2019. Bibtex@article{huskic2019high,title = {High-speed path following control of skid-steered vehicles}, author = {Huski{\'c}, Goran and Buck, Sebastian and Herrb, Matthieu and Lacroix, Simon and Zell, Andreas}, journal = {The International Journal of Robotics Research}, pages = {0278364919859634}, year = {2019}, project = {abt_zell, robotics}, publisher = {SAGE Publications Sage UK: London, England}, } |