2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2025
FiLM-Nav: Efficient and Generalizable Navigation via VLM Fine-tuning
Naoki Yokoyama, Sehoon Ha
Enabling robotic assistants to navigate complex environments and locate objects described in free-form language is a critical capability for real-world deployment. While foundation…
cs.AI2024
HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation
Naoki Yokoyama, Ram Ramrakhya, Abhishek Das +2
We present the Habitat-Matterport 3D Open Vocabulary Object Goal Navigation dataset (HM3D-OVON), a large-scale benchmark that broadens the scope and semantic range of prior Object…
cs.RO2023★ 2 cited
VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation
Naoki Yokoyama, Sehoon Ha, Dhruv Batra +2
Understanding how humans leverage semantic knowledge to navigate unfamiliar environments and decide where to explore next is pivotal for developing robots capable of human-like sea…