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Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions
Grasping unknown objects using active vision
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch
One shot grasp Synthesis
Vision-based grasping algorithm
Single Shot Generative Grasping Convolutional Neural Network
Demonstration of continuous 3D object recognition and grasp synthesis.
Grasping Using High-Speed Visual Feedback
Dynamic Grasping Using High-speed Visual Feedback
Continuum Robot based Grasp Synthesis and Object Manipulation
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Last Updated: October 21, 2026
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For more information about this project please visit our lab website: wp.wpi.edu/merlab/ Video demo for ICRA2023 paper "Instance-wise Paper to appear at RSS 2018. arxiv.org/abs/1804.05172 Code available at github.com/dougsm/ggcnn This paper ... This video presents simulation and experimental results of a novel More Than a Feeling: Learning to developed by HYU Biorobotics Lab (Minchang Sung) Code is provided at: github.com/lar-deeufba/ssggcnn_ur5_grasping This paper proposes a two-step cascaded system Lifelong 3D Object Recognition and In most conventional manipulation systems, changes in the environment cannot be observed in real time because the