3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
LACY: A Vision-Language Model-based Language-Action Cycle for Self-Improving Robotic Manipulation
Youngjin Hong, Houjian Yu, Mingen Li +1
Learning generalizable policies for robotic manipulation increasingly relies on large-scale models that map language instructions to actions (L2A). However, this one-way paradigm o…
Hierarchical DLO Routing with Reinforcement Learning and In-Context Vision-language Models
Mingen Li, Houjian Yu, Yixuan Huang +3
Long-horizon routing tasks of deformable linear objects (DLOs), such as cables and ropes, are common in industrial assembly lines and everyday life. These tasks are particularly ch…
Learning for Deformable Linear Object Insertion Leveraging Flexibility Estimation from Visual Cues
Mingen Li, Changhyun Choi
Manipulation of deformable Linear objects (DLOs), including iron wire, rubber, silk, and nylon rope, is ubiquitous in daily life. These objects exhibit diverse physical properties,…
A Parameter-Efficient Tuning Framework for Language-guided Object Grounding and Robot Grasping
Houjian Yu, Mingen Li, Alireza Rezazadeh +2
The language-guided robot grasping task requires a robot agent to integrate multimodal information from both visual and linguistic inputs to predict actions for target-driven grasp…