activity
20192022
most citedLimited Information Shared Control: A Potential Game Approach

24 citations · 33 across the 4 of their papers we have counts for

collaborators

5 papers

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…

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…

eess.SY2020★ 1 cited

Multi-Robot Task Allocation and Scheduling Considering Cooperative Tasks and Precedence Constraints

Esther Bischoff, Fabian Meyer, Jairo Inga +1

In order to fully exploit the advantages inherent to cooperating heterogeneous multi-robot teams, sophisticated coordination algorithms are essential. Time-extended multi-robot tas…

eess.SY2019★ 8 cited

Inverse Dynamic Games Based on Maximum Entropy Inverse Reinforcement Learning

Jairo Inga, Esther Bischoff, Florian Köpf +1

We consider the inverse problem of dynamic games, where cost function parameters are sought which explain observed behavior of interacting players. Maximum entropy inverse reinforc…