1 citations · 1 across the 1 of their papers we have counts for
4 papers
PonderPounce: A Pretrained MLLM as an Episode Context Engine for Robot Control
Suhwan Choi, Jaeyoon Jung, Sungkyung Kim +2
Multimodal large language models (MLLMs) can integrate long visual histories, reason under partial observability, and infer behavior from a few examples. Yet vision-language-action…
CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents
Haebin Seong, Sungmin Kim, Yongjun Cho +20
Current navigation benchmarks focus on task success but do not capture the economic constraints essential for commercializing autonomous delivery systems. We introduce CostNav, an…
D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
Suhwan Choi, Jaeyoon Jung, Haebin Seong +7
Large language models leverage internet-scale text data, yet embodied AI remains constrained by the prohibitive costs of physical trajectory collection. Desktop environments -- par…
Solution for SMART-101 Challenge of CVPR Multi-modal Algorithmic Reasoning Task 2024
Jinwoo Ahn, Junhyeok Park, Min-Jun Kim +6
In this paper, the solution of HYU MLLAB KT Team to the Multimodal Algorithmic Reasoning Task: SMART-101 CVPR 2024 Challenge is presented. Beyond conventional visual question-answe…