mlsanityData to 7 Oct 2026

HomeRobot Open Vocabulary Mobile Manipulation Challenge 2023 Participant Report (Team KuzHum)

arXiv 2401.12048 ↗First posted 22 Jan 2024cs.RO cs.CVcited by 1

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Abstract (arXiv)

We report an improvements to NeurIPS 2023 HomeRobot: Open Vocabulary Mobile Manipulation (OVMM) Challenge reinforcement learning baseline. More specifically, we propose more accurate semantic segmentation module, along with better place skill policy, and high-level heuristic that outperforms the baseline by 2.4% of overall success rate (sevenfold improvement) and 8.2% of partial success rate (1.75 times improvement) on Test Standard split of the challenge dataset. With aforementioned enhancements incorporated our agent scored 3rd place in the challenge on both simulation and real-world stages.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 10 references that are in the map. First posted on arXiv 22 Jan 2024.

Builds on

7 of 10 references.

References · 7

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2019Habitat: A Platform for Embodied AI Researchcited by 1,163
  3. 2021Habitat 2.0: Training Home Assistants to Rearrange their Habitatcited by 501
  4. 2023Faster Segment Anything: Towards Lightweight SAM for Mobile Applicationscited by 345
  5. 2020Sim-to-Real Transfer for Vision-and-Language Navigationcited by 88
  6. 2021The Design of Stretch: A Compact, Lightweight Mobile Manipulator for Indoor Human Environmentscited by 39
  7. 2019EvalAI: Towards Better Evaluation Systems for AI Agentscited by 34

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