activity
20232026
most citedHuman-Variability-Respecting Optimal Control for Physical Human-Machine Interaction

6 citations · 6 across the 12 of their papers we have counts for

collaborators
Showing eess.SYShow all

5 papers · 1 filter

eess.SY2026

Infinite-Horizon Inverse Linear-Quadratic Differential Games with State- and Control-Dependent Noise

Lucas Günther, Karl Handwerker, Felix Thömmes +2

This paper presents a method to solve the inverse problem for N-player infinite-horizon linear-quadratic (LQ) differential games with state- and control-dependent noise. For this s…

eess.SY2025

Inverse Linear-Quadratic Gaussian Differential Games

Lucas Günther, Felix Thömmes, Karl Handwerker +2

This paper presents a method for solving the Inverse Stochastic Differential Game (ISDG) problem in finite-horizon linear-quadratic Gaussian (LQG) differential games. The objective…

eess.SY2024

Cooperative Trajectory Planning: Principles for Human-Machine System Design on Trajectory Level

Julian Schneider, Balint Varga, Sören Hohmann

This paper explores cooperative trajectory planning approaches within the context of human-machine shared control. In shared control research, it is typically assumed that the huma…

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…