16 citations · 33 across the 17 of their papers we have counts for
4 papers · 1 filter
Beyond the Majority: Long-tail Imitation Learning for Robotic Manipulation
Junhong Zhu, Ji Zhang, Jingkuan Song +2
While generalist robot policies hold significant promise for learning diverse manipulation skills through imitation, their performance is often hindered by the long-tail distributi…
Sim-and-Human Co-training for Data-Efficient and Scene-Generalizable Bimanual Manipulation
Kaipeng Fang, Weiqing Liang, Yuyang Li +5
Real-robot demonstrations are prohibitively expensive, while simulation data and real-world human demonstrations are both scalable but each leaves a distinct gap: simulation suffer…
InSpire: Vision-Language-Action Models with Intrinsic Spatial Reasoning
Ji Zhang, Shihan Wu, Xu Luo +4
Leveraging pretrained Vision-Language Models (VLMs) to map language instruction and visual observations to raw low-level actions, Vision-Language-Action models (VLAs) hold great pr…
Policy Contrastive Decoding for Robotic Foundation Models
Shihan Wu, Xu Luo, Ji Zhang +4
Robotic foundation models, or generalist robot policies, hold immense potential to enable flexible, general-purpose and dexterous robotic systems. Despite their advancements, our e…