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Learning for Deformable Linear Object Insertion Leveraging Flexibility Estimation from Visual Cues
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, such …
nylon rope, is ubiquitous in daily life. These objects exhibit diverse physical properties, such …
A Parameter-Efficient Tuning Framework for Language-guided Object Grounding and Robot Gras**
H Yu, M Li, A Rezazadeh, Y Yang, C Choi - ar** task requires a robot agent to integrate multimodal
information from both visual and linguistic inputs to predict actions for target-driven gras** …
information from both visual and linguistic inputs to predict actions for target-driven gras** …
Learning Dual-Arm Push and Grasp Synergy in Dense Clutter
VILMO-Grasp: Vision-Integrated Imitation Learning for Meta-Operative Gras**
C Song, Y Ji, X Ma, W Yi… - … Conference on Advanced …, 2024 - ieeexplore.ieee.org
Stable gras** is crucial for robot-environment interaction, especially as robots navigate
open and unstructured spaces with unknown, irregular objects. We introduce VILMO-Grasp …
open and unstructured spaces with unknown, irregular objects. We introduce VILMO-Grasp …