@inproceedings{Grohmann22:JAVRIS,

title = {JAVRIS: Joint Artificial Visual Prediction and Control for Remote-(Robot) Interaction Systems},

author = {Andreas I. {Grohmann} and Johannes V. S. {Busch} and Adrian {Bretschneider} and Christopher {Lehmann} and Frank H. P. {Fitzek}},

doi = {10.1109/CCNC49033.2022.9700532},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2022)},

address = {Las Vegas, USA},

abstract = {In recent years, robots are taking on more and more tasks throughout many different application domains. Many of those robots work fully automatically and without human intervention. However, more complex tasks still require to be done by a human in remote control. One example would be robot remote surgery. Remote controlling a robot requires ultra-low latency on the communication, to allow fast and precise movements. To make this possible with today's systems, the human operator must be in the same room. Enabling the operator to operate from anywhere around the world, would bring a huge benefit as travels for highly trained experts can be minimized. In order to allow wider distances between the operator and robot, we propose an AI-based prediction. Predicting the robots behavior can generate negative latency, which improves the precision of control. In large-scale communication networks, the main part of experienced latency comes from the propagation delay and is therefore not avoidable. Predicting upcoming data before it actually arrives, can create a zero-latency experience for the human operator. To prove this idea in the context of remote robot control, we propose JAVRIS. Using the CMIYC demonstrator as example, JAVRIS improved the score of an inexperienced user by over 1000%.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Grohmann22:BakeryRoboty,

title = {BakeryRobot: 5G connected robot for SMEs},

author = {Andreas I. {Grohmann} and Christopher {Lehmann} and Thomas {H\"{o}schele} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lehmann21:CooperationIn5G,

title = {On the Challenges and Performance of Cooperative Communication in 5G and B5G Systems},

author = {Christopher {Lehmann} and Riccardo {Trivisonno} and Sreekrishna {Pandi} and Clarissa {Marquezan} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-12-07},

urldate = {2021-12-07},

booktitle = {IEEE Global Communications Conference},

address = {Madrid, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Senk21:CampusTestbed,

title = {5G NSA and SA Campus Network Testbeds for Evaluating Industrial Automation},

author = {Stefan {Senk} and Sebastian A. W. {Itting} and Jennifer {Gabriel} and Christopher {Lehmann} and Thomas {H\"{o}schele} and Frank H. P. {Fitzek} and Martin {Reisslein}},

year  = {2021},

date = {2021-11-10},

booktitle = {European Wireless 2021},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Grohmann2021,

title = {Catch Me If You Can: Demonstration of Publicly Remote Controlled Robots},

author = {Andreas I. {Grohmann} and Alexander {Kropp} and Christopher {Lehmann} and Ievgenii A. {Tsokalo} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {This demonstrator enables remote audiences to control robots within our lab. The purpose is to play a little game in order to show remote control over the public internet. Users are able to interact with the demo remotely through the web interface. This demonstrates an straight forward approach for remote robot operation independent from a specific device. Any current web browser running on a commercial off-the-shelf computer or mobile phone can be used to interact with the demo. However, it also shows the limitations of this kind of robot control. Dependent on the user's location and network connection, different amounts of latency come into play. Within this demo this effects the difficulty, as only fast or precise movements are possible.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tasd2021:JointCoding,

title = {Joint Application of Sliding Window and Full-Vector RLNC for Vehicular Platooning},

author = {Elif {Tasdemir} and Christopher {Lehmann} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-01},

booktitle = {2021 11th Annual Computing and Communication Workshop and Conference (CCWC)},

address = {Las Vegas, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lehmann20CAVS,

title = {A MEC-assisted Vehicle Platooning Control through Docker Containers},

author = {Salvatore {Dabbene} and Christopher {Lehmann} and Claudia {Campolo} and Antonella {Molinaro} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-10-05},

booktitle = {2020 IEEE 3rd Connected and Automated Vehicles Symposium: IEEE CAVS 2020},

address = {Victoria, Canada},

abstract = {The Multi-access Edge Computing (MEC) paradigm allows several automotive applications to be offloaded from the vehicles to the edge. Besides a higher computation capability, compared to the on-board vehicle, and the shorter latency, compared to the remote cloud, the edge offers additional (context) information that is not directly available at the vehicle, e.g., via data fusion from multiple sources. In this paper we propose a high-level architecture for MEC-assisted platooning control. Within the architecture, the longitudinal controller is conceived as a virtualized application running on an edge server, and aligned with the European Telecommunications Standard Insti-tute (ETSI) MEC reference framework. Performance assessment conducted through an experimental realistic framework, coupling a vehicular mobility simulator and Docker containers, showcases the feasibility and effectiveness of our proposal.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tasd2006:Vehicle,

title = {Vehicle Platooning: Sliding Window RLNC for Low Latency and High Resilience},

author = {Elif {Tasdemir} and Christopher {Lehmann} and David {Nophut} and Frank {Gabriel} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-01-01},

booktitle = {IEEE ICC 2020 Workshop on V2X Technologies for Next Generation Driving Paradigm (IEEE ICC'20 Workshop \textendash V2X-NGD)},

address = {Dublin, Ireland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{vu2018adaptivedecoding,

title = {Adaptive Decoding for Fulcrum Codes},

author = {Vu {Nguyen} and Juan A. {Cabrera} and Giang T. {Nguyen} and Frank {Gabriel} and Christopher {Lehmann} and Stanislav {Mudriievskyi} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-11-01},

urldate = {2018-11-01},

booktitle = {IEEE IEMCON},

address = {Vancouver, Canada},

howpublished = {accepted},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Pandi-CarsTestbed,

title = {Joint Design of Communication and Control for Connected Cars in 5G Communication Systems},

author = {Sreekrishna {Pandi} and Frank H. P. {Fitzek} and Christopher {Lehmann} and David {Nophut} and Domokos {Kiss} and Viktor {Kov\'{a}cs} and \'{A}kos {Nagy} and G\'{a}bor {Csov\'{a}si} and Mikl\'{o}s {T\'{o}th} and Tam\'{a}s {Rajacsics} and Hassan {Charaf} and Rainer {Liebhart}},

url = {http://ieeexplore.ieee.org/document/7848940/},

year  = {2016},

date = {2016-01-01},

booktitle = {IEEE Globecom Workshops (GC Wkshps)},

pages = {1-7},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}