activity
20202026
most citedHuman-Variability-Respecting Optimal Control for Physical Human-Machine Interaction

6 citations · 6 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2026

Locomotion Variability and User Experience in Smart Wheelchair Human-Robot Interaction

Sean Kille, Adina M. Panchea, Balint Varga +1

Human movement is inherently variable, with variability structured according to task relevance: movements are typically more consistent at task-critical points and more flexible el…

cs.HC2026

The Role of Variability in Human-Machine Interaction Experience

Sean Kille, Jan Lars Hagemann, Anne Voormann +3

Human-machine interaction (HMI) requires control strategies that account for the nature of human motor behavior. Conventional shared-control and haptic-assistance methods typically…

cs.RO2025

Beyond Task Performance: Human Experience in Human-Robot Collaboration

Sean Kille, Jan Heinrich Robens, Philipp Dahlinger +8

Human interaction experience plays a crucial role in the effectiveness of human-machine collaboration, especially as interactions in future systems progress towards tighter physica…

eess.SY2024

Study on Human-Variability-Respecting Optimal Control Affecting Human Interaction Experience

Sean Kille, Balint Varga, Sören Hohmann

Broad application of human-machine interaction (HMI) demands advanced and human-centered control designs for the machine's automation. Human natural motor action shows stochastic b…

eess.SY2024★ 6 cited

Human-Variability-Respecting Optimal Control for Physical Human-Machine Interaction

Sean Kille, Paul Leibold, Philipp Karg +2

Physical Human-Machine Interaction plays a pivotal role in facilitating collaboration across various domains. When designing appropriate model-based controllers to assist a human i…

cs.HC2021

Human-machine Symbiosis: A Multivariate Perspective for Physically Coupled Human-machine Systems

Jairo Inga, Miriam Ruess, Jan Heinrich Robens +8

The notion of symbiosis has been increasingly mentioned in research on physically coupled human-machine systems. Yet, a uniform specification on which aspects constitute human-mach…

eess.SY2020

Adaptive Optimal Trajectory Tracking Control Applied to a Large-Scale Ball-on-Plate System

Florian Köpf, Sean Kille, Jairo Inga +1

While many theoretical works concerning Adaptive Dynamic Programming (ADP) have been proposed, application results are scarce. Therefore, we design an ADP-based optimal trajectory…