Register now After registration you will be able to apply for this opportunity online.
KALLAX Benchmark: Evaluating Household Tasks
Motivation ⇾ There are three ways to evaluate robots for pick-and-place tasks at home:
1. Simulation setups: High reproducibility but hard to simulate real-world complexities and perception noise.
2. Competitions: Good for comparing overall systems but require significant effort and can't be done frequently.
3. Custom lab setups: Common but lead to overfitting and lack comparability between labs.
Proposal ⇾ We propose using IKEA furniture to create standardized, randomized setups that researchers can easily replicate. E.g, a 4x4 KALLAX unit with varying door knobs and drawer positions, generating tasks like "move the cup from the upper right shelf into the black drawer." This prevents overfitting and allows for consistent evaluation across different
labs.
Keywords: Benchmakr, Robotics, pick-and-place
Not specified
Not specified
Requirements: experience with a Python deep learning framework, understanding of 3D scene and camera geometry.
Please send us a CV and transcript.
Dr. Hermann Blum (blumh@ethz.ch)
René Zurbrügg (zrene@ethz.ch)
Dr. Zuria Bauer (zbauer@ethz.ch)
Requirements: experience with a Python deep learning framework, understanding of 3D scene and camera geometry.
Please send us a CV and transcript. Dr. Hermann Blum (blumh@ethz.ch) René Zurbrügg (zrene@ethz.ch) Dr. Zuria Bauer (zbauer@ethz.ch)
Presentación19-2.pdf
