activity
20222026
most citedLimited Information Shared Control: A Potential Game Approach

24 citations · 64 across the 16 of their papers we have counts for

collaborators

18 papers

cs.RO2026

A Reinforcement Learning Framework for Safety-Aware Haptic Shared Control in Surgical Robotics

Zihao Zhang, Karl Handwerker, Balint Varga

Haptic shared control in surgical robotics combines human-side and robot-side forces at a shared end effector while preserving operator involvement. However, the effects of geometr…

eess.SY2026

Approximate Feedback Nash Equilibria in Constrained Differential Games via Model Predictive Control with Upper Bound Guarantees

Balint Varga, Karl Handwerker, Imre Rudas +1

Physical human--machine interaction and other multi-agent control settings require decision-making policies that adapt online. Differential games provide a principled framework whe…

eess.SY2026

Policy Iteration for Linear-Quadratic Stochastic Differential Games with State- and Control-Dependent Noise

Karl Handwerker, Felix Thömmes, Lucas Günther +2

This paper presents a novel sequential policy iteration (PI) method for stochastic differential games with state- and control-dependent noise. The updates preserve mean-square stab…

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…

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…

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…

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.SY2025

Personalized and Demand-Based Education Concept: Practical Tools for Control Engineers

Balint Varga, Lars Fischer, Levente Kovacs

This paper presents a personalized lecture concept using educational blocks and its demonstrative application in a new university lecture. Higher education faces daily challenges:…

eess.SY2025

Interaction-Aware Model Predictive Decision-Making for Socially-Compliant Autonomous Driving in Mixed Urban Traffic Scenarios

Balint Varga, Thomas Brand, Marcus Schmitz +1

Autonomous vehicles must negotiate with pedestrians in ways that are both safe and socially compliant. We present an interaction-aware model predictive decision-making (IAMPDM) fra…

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★ 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…

eess.SY2024★ 15 cited

Toward Adaptive Cooperation: Model-Based Shared Control Using LQ-Differential Games

Balint Varga

This paper introduces a novel model-based adaptive shared control to allow for the identification and design challenge for shared-control systems, in which humans and automation sh…

eess.SY2023★ 11 cited

Cooperative Decision-Making in Shared Spaces: Making Urban Traffic Safer through Human-Machine Cooperation

Balint Varga, Dongxu Yang, Sören Hohmann

In this paper, a cooperative decision-making is presented, which is suitable for intention-aware automated vehicle functions. With an increasing number of highly automated and auto…

cs.AI2023★ 8 cited

Intention-Aware Decision-Making for Mixed Intersection Scenarios

Balint Varga, Dongxu Yang, Soeren Hohmann

This paper presents a white-box intention-aware decision-making for the handling of interactions between a pedestrian and an automated vehicle (AV) in an unsignalized street crossi…

cs.RO2022

Development of a Mobile Vehicle Manipulator Simulator for the Validation of Shared Control Concepts

Balint Varga, Selina Meier, Soeren Hohmann

This paper presents the development of a real-time simulator for the validation of controlling a large vehicle manipulator. The need for this development can be justified by the la…

eess.SY2022★ 24 cited

Limited Information Shared Control: A Potential Game Approach

Balint Varga, Jairo Inga, Soeren Hohmann

This paper presents a systematic method for the design of a limited information shared control (LISC). LISC is used in applications where not all system states or reference traject…