7 citations · 9 across the 2 of their papers we have counts for
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cs.RO2023★ 2 cited
Grounding Object Relations in Language-Conditioned Robotic Manipulation with Semantic-Spatial Reasoning
Qian Luo, Yunfei Li, Yi Wu
Grounded understanding of natural language in physical scenes can greatly benefit robots that follow human instructions. In object manipulation scenarios, existing end-to-end model…
cs.RO2020★ 7 cited
A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs)
Qian Luo, Jing Wu, Matthew Gombolay
Learning from demonstration (LfD) is a powerful learning method to enable a robot to infer how to perform a task given one or more human demonstrations of the desired task. By lear…
cs.RO2020
A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning
Qian Luo, Maks Sorokin, Sehoon Ha
Target-driven visual navigation is a challenging problem that requires a robot to find the goal using only visual inputs. Many researchers have demonstrated promising results using…