UniTeam: Open Vocabulary Mobile Manipulation Challenge (2312.08611v1)
Abstract: This report introduces our UniTeam agent - an improved baseline for the "HomeRobot: Open Vocabulary Mobile Manipulation" challenge. The challenge poses problems of navigation in unfamiliar environments, manipulation of novel objects, and recognition of open-vocabulary object classes. This challenge aims to facilitate cross-cutting research in embodied AI using recent advances in machine learning, computer vision, natural language, and robotics. In this work, we conducted an exhaustive evaluation of the provided baseline agent; identified deficiencies in perception, navigation, and manipulation skills; and improved the baseline agent's performance. Notably, enhancements were made in perception - minimizing misclassifications; navigation - preventing infinite loop commitments; picking - addressing failures due to changing object visibility; and placing - ensuring accurate positioning for successful object placement.
- Andrew Melnik (33 papers)
- Michael Büttner (3 papers)
- Leon Harz (2 papers)
- Lyon Brown (2 papers)
- Gora Chand Nandi (8 papers)
- Arjun PS (2 papers)
- Gaurav Kumar Yadav (4 papers)
- Rahul Kala (5 papers)
- Robert Haschke (17 papers)