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robotics ai simulation navigation lidarπ Description
- Robustify ANYmal's local obstacle avoidance with RL.
- Investigate neural network architectures and compare performance.
- Develop tools for explainable AI.
- Collaborate with Navigation experts to improve reliability and scalability.
π― Requirements
- Enrolled in a university.
- Full-time, six-month internship.
- Start date: March (preferred).
- EU applicants for internships welcome; non-EU may require permit.
π Benefits
- Hands-on experience on locomotion software.
- Mentorship from industry experts.
- Opportunities to contribute to innovative projects.
- Dynamic and collaborative work environment.
- Potential for future full-time opportunities.
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