6 citations · 6 across the 13 of their papers we have counts for
13 papers
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…
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…
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…
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…
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…
Offline and Online Nonlinear Inverse Differential Games with Known and Approximated Cost and Value Function Structures
Philipp Karg, Balint Varga, Sören Hohmann
In this work, we propose novel offline and online Inverse Differential Game (IDG) methods for nonlinear Differential Games (DG), which identify the cost functions of all players fr…
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…
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…
Reacting on human stubbornness in human-machine trajectory planning
Julian Schneider, Niels Straky, Simon Meyer +2
In this paper, a method for a cooperative trajectory planning between a human and an automation is extended by a behavioral model of the human. This model can characterize the stub…
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…
Trustworthiness of Optimality Condition Violation in Inverse Dynamic Game Methods Based on the Minimum Principle
Philipp Karg, Adrian Kienzle, Jonas Kaub +2
In this work, we analyze the applicability of Inverse Dynamic Game (IDG) methods based on the Minimum Principle (MP). The IDG method determines unknown cost functions in a single-…
Bi-Level-Based Inverse Stochastic Optimal Control
Philipp Karg, Manuel Hess, Balint Varga +1
In this paper, we propose a new algorithm to solve the Inverse Stochastic Optimal Control (ISOC) problem of the linear-quadratic sensorimotor (LQS) control model. The LQS model rep…
Validation of Stochastic Optimal Control Models for Goal-Directed Human Movements on the Example of Human Driving Behavior
Philipp Karg, Simon Stoll, Simon Rothfuß +1
Stochastic Optimal Control models represent the state-of-the-art in modeling goal-directed human movements. The linear-quadratic sensorimotor (LQS) model based on signal-dependent…