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Literature Survey on Task-Planning and Scheduling Techniques for Human-Robot Collaboration Scenarios

Literature Survey on Task-Planning and Scheduling Techniques for Human-Robot Collaboration Scenarios

 

 Bv Literatur

 

Each autonomous robot used in an application must reach a set of goals in a given period of time. For example, at the end of the cycle six item must be at the packaging station and the battery must be recharged. For such applications Task-Planning and Scheduling software modules are required in order to determine which actions the robots must execute and in which order, such that each of the set goals are reached. For Human-Robot Collaboration (HRC) scenarios, characterized through dynamic and uncertain environments, these modules are of even more importance as the system must autonomously determine which actions the robots should execute in order to reach their goals, also when unexpected situations occur.


In the context of this thesis a thorough literature survey on the state-of-the-art task-planning and scheduling techniques for HRC scenarios must be done. The focus should be set on AI-Planning techniques that should be compared with the other techniques found. Further on, it should be researched which validation standards (e.g. procedures and metrics) and which typical scenarios are present in the literature.

 

Type of Thesis:

  • Project or Master Thesis

 

Workpackages:

  • Literature survey on state-of-the-art task-planning and scheduling techniques for HRC scenarios
  • Comparison of the different techniques, especially with respect to the AI Planning 
  • Research on validation standards and scenarios

 

Requirements:

  • CES, Automation Engineering, Mechanical Engineering or similar
  • Basic knowledge of robotics
  • Interest for bringing more intelligence in Human-Robot Collaboration scenarios
  • Fluent English

 

We offer:

  • Insight into state-of-the-art robotics research topics
  • Integration in a team of students working together on this topic

 

Contact Person:

  • Stefan Bezrucav - - Tel.: 0241 80 95555

KONTAKT


Institut für Getriebetechnik, Maschinendynamik und Robotik

RWTH Aachen

Eilfschornsteinstraße 18

52062 Aachen

 

Tel.: +49 (0)241 80 95546

Fax:  +49 (0)241 80 92263

Mail: 

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