@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}},

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{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{Groh2101:Interference,

title = {Interference resilience of Thread: A practical performance evaluation},

author = {Andreas I. {Grohmann} and David {Nophut} and Marek {Sobe} and Adrian {Bretschneider} 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 = {Currently, most IoT services are hosted centralized 

in a cloud. However, they rely on data gathered by numerous 

distributed sensors, which require to be connected to these clouds. 

At the moment this is realized with non-IP based proprietary 

wireless sensor networks that use inflexible networking concepts 

and require to be carefully configured. 

The Thread protocol, with its implementation OpenThread, is 

a new wireless mesh approach to solve this problem. OpenThread 

is maintained by the Thread group, which is an organization 

supported by almost 300 companies, including Google, Amazon, 

and Apple. Its design is based on an IPv6, for seamless integration 

in existing IP networks. 

This work, after a short a practical overview of the Thread 

protocol in general, investigates the network performance in 

different interference scenarios based on results from a hardware 

testbed, set up in an office building. This testbed is based on 

the Nordic Semiconductor nRF52840 System on a Chip (SoC), 

running OpenThread from the official github repository. Besides 

a thorough examination for round-trip-time (RTT) and losses, a 

stability test was performed over five weeks, to see the impact 

of interference during business hours. We measured RTTs in 

the range of 10 to 100 ms and losses up to 40% depending 

on interfering wireless services. Despite its obvious advantages, 

from our experimental results, it is evident how some practical 

limitations make OpenThread not always a good choice.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Grohmann2020,

title = {SourceShift: Resilient Routing in Highly Dynamic Wireless Mesh Networks},

author = {Andreas I. {Grohmann} and Frank {Gabriel} and Sandra {Zimmermann} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-04-05},

booktitle = {2020 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2020)},

address = {Seoul, Korea (South)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}