2 papers
cs.RO2026
Sim-and-Human Co-training for Data-Efficient and Generalizable Robotic Manipulation
Kaipeng Fang, Weiqing Liang, Yuyang Li +5
Synthetic simulation data and real-world human data provide scalable alternatives to circumvent the prohibitive costs of robot data collection. However, these sources suffer from t…
cs.CV2023
ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval
Kaipeng Fang, Jingkuan Song, Lianli Gao +4
The goal of Universal Cross-Domain Retrieval (UCDR) is to achieve robust performance in generalized test scenarios, wherein data may belong to strictly unknown domains and categori…