Bosch Group
Master Thesis Optimized Design of Robotic Assembly Systems(m/w/x)
Full-timeInternshipOn-site
Renningen
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BOBosch Group
Master Thesis Execution-Aware Multi-Robot Planning(m/w/x)
Renningen
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Master Thesis Bridging the Gap between Reinforcement Learning & E2E Driving(m/w/x)
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BOBosch Group
Master Thesis Execution-Aware Multi-Robot Planning(m/w/x)
Renningen
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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.
Not a perfect match?
- Bosch Group
Master Thesis Optimized Design of Robotic Assembly Systems(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving(m/w/x)
Full-timeOn-siteNot specifiedRenningen - Bosch Group
Master Thesis Bridging the Gap between Reinforcement Learning & E2E Driving(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Combining Imitation & Reinforcement Learning to Solve Automated Driving(m/w/x)
Full-timeWorking StudentOn-siteRenningen