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BOBosch Group

Master Thesis Execution-Aware Multi-Robot Planning(m/w/x)

Renningen
Full-timeInternshipOn-site
AI/ML

Developing algorithms for incremental plan repair in multi-robot systems. Strong C++ and Python programming skills required. Work on execution-aware planning with local plan adaptation.

Requirements

  • Master's in Computer Science, Robotics, AI, or comparable
  • Strong C++ and Python programming skills
  • Basic familiarity with Git and software development workflows
  • Good understanding of mobile robotics, path/motion planning, and multi-agent systems
  • Familiarity with algorithm design and performance evaluation
  • Experience with simulation tools or robotics frameworks is a plus
  • Systematic analysis of complex problems
  • Development of innovative solutions through research
  • Interest in robotics, intelligent systems, and industrial applications
  • Motivation to contribute to research

Tasks

  • Investigate multi-robot plan efficiency under execution deviations
  • Adapt plans locally during execution to handle delays and blocked paths
  • Develop methods for representing robot actions and interactions
  • Design algorithms for incremental plan repair
  • Ensure safety and consistency in plan repairs
  • Implement approaches in a simulation framework
  • Evaluate methods on industrial scenarios for robustness, efficiency, and quality
  • Collaborate with a research team
  • Bridge algorithmic planning with real-world robotic systems

Education

  • Compulsory education

Languages

  • EnglishFluent

Tools & Technologies

  • C++
  • Python
  • Git
  • simulation tools
  • robotics frameworks
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