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Master Thesis Execution-Aware Multi-Robot Planning(m/w/x)
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
- English – Fluent
Tools & Technologies
- C++
- Python
- Git
- simulation tools
- robotics frameworks
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Master Thesis Execution-Aware Multi-Robot Planning(m/w/x)
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
- English – Fluent
Tools & Technologies
- C++
- Python
- Git
- simulation tools
- robotics frameworks
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bosch Group
Industry
IT
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
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