5 papers · 1 filter
Visual Prompt Guided Unified Pushing Policy
Hieu Bui, Ziyan Gao, Yuya Hosoda +1
As one of the simplest non-prehensile manipulation skills, pushing has been widely studied as an effective means to rearrange objects. Existing approaches, however, typically rely…
Human-to-Robot Interaction: Learning from Video Demonstration for Robot Imitation
Thanh Nguyen Canh, Thanh-Tuan Tran, Haolan Zhang +3
Learning from Demonstration (LfD) offers a promising paradigm for robot skill acquisition. Recent approaches attempt to extract manipulation commands directly from video demonstrat…
Online 3D Bin Packing with Fast Stability Validation and Stable Rearrangement Planning
Ziyan Gao, Lijun Wang, Yuntao Kong +1
The Online Bin Packing Problem (OBPP) is a sequential decision-making task in which each item must be placed immediately upon arrival, with no knowledge of future arrivals. Althoug…
SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction
Wei Wu, Xiaoxin Feng, Ziyan Gao +1
Data-driven autonomous driving motion generation tasks are frequently impacted by the limitations of dataset size and the domain gap between datasets, which precludes their extensi…
An Efficient Deep Reinforcement Learning Model for Online 3D Bin Packing Combining Object Rearrangement and Stable Placement
Peiwen Zhou, Ziyan Gao, Chenghao Li +1
This paper presents an efficient deep reinforcement learning (DRL) framework for online 3D bin packing (3D-BPP). The 3D-BPP is an NP-hard problem significant in logistics, warehous…