Semantic Reasoning for Information-Sharing in Multi-Agents Robotic Systems (Intern) - Honda Research Institute USA

Intern Positions

Currently, HRI-US is offering research and engineering internships to highly qualified and motivated students.  Research interns will work closely with HRI scientists and are encouraged to publish results in academic forums.   For research internship positions, we are looking for candidates with a good publication record and excellent programming skills to join our team. The positions currently listed are for the Spring/Summer 2024.

Semantic Reasoning for Information-Sharing in Multi-Agents Robotic Systems (Intern)

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Semantic Reasoning for Information-Sharing in Multi-Agents Robotic Systems (Intern)

Job Number: P23INT-29
We are seeking a research intern with a focus on representation learning and semantic reasoning for multi-agent robotic systems. The ideal candidate needs to have a strong background in machine learning/deep learning with focus on Representation Learning, Semantic Representation, Semantic Reasoning, and Multi-Agent Reinforcement Learning (MARL).
Ann Arobor, MI
Duration 3 Months
Position Introduction

​We are seeking a research intern with a focus on representation learning and semantic reasoning for multi-agent robotic systems. The ideal candidate needs to have a strong background in machine learning/deep learning with focus on Representation Learning, Semantic Representation, Semantic Reasoning, and Multi-Agent Reinforcement Learning (MARL).
Key Responsibilities

During the time of the internship, you are expected to:

  • Explore and develop novel techniques in representation learning and semantic reasoning with the focus on the multi-agent robotics domain.
  • Publish your research findings in top-tier conferences and journals.

 
Minimum Qualifications
  • M.S./Ph.D. candidate in computer science, electrical engineering, mechanical engineering or similar fields.
  • Previous experience in machine learning and deep learning research, particularly in the field of representation learning and semantic reasoning.
  • Excellent programming skills in Python, C++.
  • Experience with Machine learning libraries such as TensorFlow, PyTorch.

 
Bonus Qualifications
  • Familiarity with semantic reasoning frameworks, knowledge graphs, semantic datasets, etc.
  • Familiarity with Multi-Agent frameworks like Multi-Agent RL, POMDP, etc.
  • Experience working with large datasets and implementing efficient data preprocessing and augmentation techniques.
  • Familiarity with state-of-the-art techniques in representation learning, such as autoencoders, variational autoencoders, generative adversarial networks (GANs), or self-supervised learning methods.

 
Years of Work Experience Required 2-4 Years
Position Keywords

​Representation Learning, Semantic Reasoning, LLM-Embodied Agents, POMDP, Multi-agent Reinforcement Learning with Communication (Comm-MARL)

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