activity
20222026
most citedHuman-Variability-Respecting Optimal Control for Physical Human-Machine Interaction

6 citations · 6 across the 13 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

math.OC2024

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…

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…

cs.RO2024

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…

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…

math.OC2024

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-…