36 citations · 53 across the 8 of their papers we have counts for
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cs.RO2026
In-Context Model Predictive Generation: Open-Vocabulary Motion Synthesis from Language Models to Physics
Xiaomeng Fu, Junfan Lin, Yang Liu +4
Synthesizing human motion from textual descriptions is essential for immersive digital applications, yet existing methods face a persistent trade-off between semantic fidelity and…
cs.RO2020★ 3 cited
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp
Junfan Lin, Zhongzhan Huang, Keze Wang +3
Although deep reinforcement learning (RL) has been successfully applied to a variety of robotic control tasks, it's still challenging to apply it to real-world tasks, due to the po…