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What you will learn and contribute to
Safe navigation of Autonomous Mobile Robots (AMRs) in dynamic environments, such as industrial and public spaces, presents a significant challenge. To address this, AMRs rely on sensors and algorithms to adaptively plan paths and avoid obstacles, thereby preventing collisions. This internship aims to contribute to developing an AMR safety system focused on predicting potential collisions under various conditions. Your primary objective will be to contribute to developing a Proof of Concept (PoC) simulation to test safety-related algorithms for AMRs in dynamic environments. Throughout the internship, you will have the opportunity to collaborate with internal and external researchers and experts in robotics and robot safety.
- Contribute to review of current research and standards related to the safety of AMRs in public spaces.
- Develop a simulation environment to create and test scenarios and algorithms focused on AMR safety.
- Design and develop algorithms to estimate the likelihood of collisions between an AMR and other objects in its environment.
- Implement the collision prediction algorithm within the simulation environment
- Validate the collision prediction algorithm on a physical mobile robot
Autonomous Mobile Robots, Simulation, Collision Prediction, Safety
The ideal candidate will have a solid background in software development (Python, C/C++, Linux). A background in mathematics or statistics and knowledge and expertise in robotics are a plus.
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