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09/14/2023
Shared Telemanipulation with VR controllers in an anti slosh scenario
Telemanipulation has become a promising technology that combines human i...
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11/29/2021
Human-machine Symbiosis: A Multivariate Perspective for Physically Coupled Human-machine Systems
The notion of symbiosis has been increasingly mentioned in research on p...
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10/26/2020
Adaptive Optimal Trajectory Tracking Control Applied to a Large-Scale Ball-on-Plate System
While many theoretical works concerning Adaptive Dynamic Programming (AD...
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05/08/2020
Multi-Robot Task Allocation and Scheduling Considering Cooperative Tasks and Precedence Constraints
In order to fully exploit the advantages inherent to cooperating heterog...
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11/18/2019
Inverse Cooperative and Non-Cooperative Dynamic Games Based on Maximum Entropy Inverse Reinforcement Learning
Dynamic game theory provides mathematical means for modeling the interac...
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10/29/2019
Deep Decentralized Reinforcement Learning for Cooperative Control
In order to collaborate efficiently with unknown partners in cooperative...
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09/16/2019
Adaptive Dynamic Programming for Model-free Tracking of Trajectories with Time-varying Parameters
In order to autonomously learn to control unknown systems optimally w.r....
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09/09/2019
Partner Approximating Learners (PAL): Simulation-Accelerated Learning with Explicit Partner Modeling in Multi-Agent Domains
Mixed cooperative-competitive control scenarios such as human-machine in...
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06/12/2019
