EDBT 2026 Demo / reviewers in the wild / expert
Kees Kroep
dblp:216/1395 · also H. J. C. Kroep, Herman Kroep
· DBLP profile ↗
4ranked-venue papers
2as first author
3since 2021 · last 2025
0000-0001-6584-9273ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 4 · 2 first-author · 3 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
2 papers |
Haptics and multimodal interaction · 69% Human-robot interaction · 31% | |
| Computer networks
3 papers |
Content delivery and video streaming · 27% Network measurement and analytics · 27% Cellular and mobile networks · 20% |
Topics — the 8 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction
haptic teleoperation |
0.9 | 1 | 2025 | Utilizing Operator Intent for Haptic Teleoperation Under High Latencies · IEEE Trans. Mob. Comput. 2025 |
Haptics and multimodal interaction › haptic teleoperation
model-mediated teleoperation |
0.9 | 1 | 2025 | Utilizing Operator Intent for Haptic Teleoperation Under High Latencies · IEEE Trans. Mob. Comput. 2025 |
Network measurement and analytics
latency measurement |
0.8 | 1 | 2024 | ETVO: Effectively Measuring Tactile Internet With Experimental Validation · IEEE Trans. Mob. Comput. 2024 |
Content delivery and video streaming
quality of experience |
0.8 | 1 | 2024 | ETVO: Effectively Measuring Tactile Internet With Experimental Validation · IEEE Trans. Mob. Comput. 2024 |
Cellular and mobile networks › ultra-low latency services
tactile internet |
0.4 | 1 | 2020 | Setting the Yardstick: A Quantitative Metric for Effectively Measuring Tactile Internet · INFOCOM 2020 |
Edge and fog computing
teleoperation |
0.4 | 1 | 2020 | Setting the Yardstick: A Quantitative Metric for Effectively Measuring Tactile Internet · INFOCOM 2020 |
Haptics and multimodal interaction
haptic feedback |
0.2 | 1 | 2024 | ETVO: Effectively Measuring Tactile Internet With Experimental Validation · IEEE Trans. Mob. Comput. 2024 |
Cellular and mobile networks › ultra-low latency services › tactile internet
ultra-low-latency communication |
0.1 | 1 | 2020 | Setting the Yardstick: A Quantitative Metric for Effectively Measuring Tactile Internet · INFOCOM 2020 |
Methods — techniques the papers use, named apart from their topics
dynamic time warping · 2.0user study · 1.7effective time- and value-offset · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Utilizing Operator Intent for Haptic Teleoperation Under High LatenciesabstractHaptic teleoperation is a promising technology with applications in telemaintenance and disaster management. However, it faces significant challenges when the application is subjected to a high network latency and environments with moving objects. This work aims to extend Model Mediated Teleoperation (MMT) to overcome challenges in supporting dynamic environments. Instead of striving for perfect model alignment, we acknowledge the inevitable mismatch between the remote environment and its model at the operator. We propose a set of design principles and an accompanying framework for designing MMT solutions that prioritize operator intent. Our approach is exemplified through an application where an operator, located 8000 km away (The Netherlands – India) and subjected to an average of 179 ms end-to-end latency, guides a robot arm to draw on a whiteboard whose position is actively altered. We evaluate the effectiveness of our approach through a user study. We show a 3-point improvement on a 7-point Likert scale when users utilize our approach to teleoperate over significant network latency of up to 1 second. Kees Kroep, Pavlos Makridis, J. Huidobro, Koen Wösten, Deepak Choudhary, Nithish K. Gnani, Prabhakar Venkata Tamma, Stijn Coppens, Kilian van Berlo, R. Venkatesha Prasad |
IEEE Trans. Mob. Comput. | 1 |
| 2024 | ETVO: Effectively Measuring Tactile Internet With Experimental ValidationabstractThe next frontier in communications isteleoperation– manipulation and control of remote environments with haptic feedback. Compared to conventional networked applications, teleoperation poses widely different requirements, ultra-low latency (ULL) is primary. Realizing ULL communication demands significant redesign of conventional networking techniques, and the network infrastructure envisioned for achieving this is termed asTactile Internet(TI). The design of meaningful performance metrics is crucial for seamless TI communication. However, existing performance metrics fall severely short of comprehensively characterizing TI performance due to their inability to capture how well sensed signals are reproduced. We take Dynamic Time Warping(DTW) as the basis of our work and identify necessary changes for characterizing TI performance. Through substantial refinements to DTW, we designEffective Time- and Value-Offset (ETVO)– a new method for measuring the fine-grained performance of TI systems. Through an in-depth objective analysis, we demonstrate the improvements of ETVO over DTW. Through subjective experiments, we demonstrate that existing QoS and QoE methods fall short of estimating the TI session performance accurately. Using subjective experiments, we demonstrate the behavior of the proposed metrics, their ability to match theoretically derived performance, and finally, their ability to reflect user satisfaction in a practical setting. Kees Kroep, Vineet Gokhale, Joseph P. Verburg, R. Venkatesha Prasad |
IEEE Trans. Mob. Comput. | 1 |
| 2023 | ViTaLS - A Novel Link-Layer Scheduling Framework for Tactile Internet Over Wi-FiabstractThe pioneering field of tactile Internet (TI) will enable the transfer of human skills over long distances through haptic feedback. Realizing this demands a roundtrip latency of sub-5 ms. In this work, we investigate the capability of Wi-Fi 6 and existing TI scheduling/multiplexing schemes in meeting this stringent latency constraint. Taking the concrete example of the state-of-the-art video-haptic multiplexer (VH-multiplexer), we highlight the pitfalls of relying on the existing Wi-Fi 6 systems for TI communication. To circumvent this, we propose video-tactile latency scheduler (ViTaLS)—a novel link layer framework for tuning the video-tactile frame transmissions to suit their heterogeneous Quality of Service requirements. We present a mathematical model to characterize the packet transmission duration of ViTaLS. Using a custom simulator, we validate our model and measure the objective performance improvement of ViTaLS over VH-multiplexer. We also present ViTaLS-optimal—a variant of ViTaLS, for further 4 reducing the tactile latency. Objectively, we show that ViTaLS-optimal yields a latency improvement of up to 82 %. Based on experiments conducted on a real TI testbed, we subjectively demonstrate that ViTaLS-optimal outperforms the VH-multiplexer. Vineet Gokhale, Kees Kroep, R. Venkatesha Prasad, Boris Bellalta, Falko Dressler |
IEEE Internet Things J. | 2 |
| 2020 | Setting the Yardstick: A Quantitative Metric for Effectively Measuring Tactile InternetabstractThe next frontier in communications is teleoperation – manipulation and control of remote environments. Compared to conventional networked applications, teleoperation poses widely different requirements, ultra-low latency (ULL) being the primary one. Teleoperation, along with a host of other applications requiring ULL communication, is termed as Tactile Internet (TI). A significant redesign of conventional networking techniques is necessary to realize TI applications. Further, these advancements can be evaluated only when meaningful performance metrics are available. However, existing TI performance metrics fall severely short of comprehensively characterizing TI performance. In this paper, we take the first step towards bridging this gap. To this end, we propose a method that captures the fine-grained performance of TI in terms of delay and precision. We take Dynamic Time Warping (DTW) as the basis of our work and identify whether it is sufficient in characterizing TI systems. We refine DTW by developing a framework called Effective Time- and Value-Offset (ETVO) that extracts fine-grained time and value offsets between input and output signals of TI. Using ETVO, we present two quantitative metrics for TI – Effective Delay-Derivative (EDD) and Effective Root Mean Square Error. Through rigorous experiments conducted on a realistic TI setup, we demonstrate the potential of the proposed metrics to precisely characterize TI interactions. Joseph P. Verburg, Kees Kroep, Vineet Gokhale, R. Venkatesha Prasad, Vijay S. Rao |
INFOCOM | 2 |