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The Robert Bosch GmbH is looking forward to your application!
Predicting human actions in complex environments is essential for effective robot operations, especially in human-populated settings. Recent advances in Natural Language Processing (NLP) and Large Language Models (LLMs) have shown great potential in tackling these challenges. Despite progress, most studies focus on single human scenarios, with limited research on group actions and human-human interactions. This master thesis aims to develop a novel approach to integrate humans and their semantic relationships into environmental representations, enabling the recognition and prediction of long-term actions of multiple humans using visual data and LLMs.
Start: according to prior agreement
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Yuchen Liu (Functional Department)
+49 711 811 6877
#LI-DNI