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20192023
most citedObject-Agnostic Suction Grasp Affordance Detection in Dense Cluster Using Self-Supervised Learning.docx

4 citations · 5 across the 4 of their papers we have counts for

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cs.RO2023★ 1 cited

Projection-based first-order constrained optimization solver for robotics

Hakan Girgin, Tobias Löw, Teng Xue +1

Robot programming tools ranging from inverse kinematics (IK) to model predictive control (MPC) are most often described as constrained optimization problems. Even though there are…

cs.RO2023

Contact Optimization with Learning from Demonstration: Application in Long-term Non-prehensile Planar Manipulation

Teng Xue, Sylvain Calinon

Long-term non-prehensile planar manipulation is a challenging task for planning and control, requiring determination of both continuous and discrete contact configurations, such as…

cs.RO2022

Demonstration-guided Optimal Control for Long-term Non-prehensile Planar Manipulation

Teng Xue, Hakan Girgin, Teguh Santoso Lembono +1

Long-term non-prehensile planar manipulation is a challenging task for robot planning and feedback control. It is characterized by underactuation, hybrid control, and contact uncer…

cs.RO2019★ 4 cited

Object-Agnostic Suction Grasp Affordance Detection in Dense Cluster Using Self-Supervised Learning.docx

Mingshuo Han, Wenhai Liu., Zhenyu Pan +4

In this paper we study grasp problem in dense cluster, a challenging task in warehouse logistics scenario. By introducing a two-step robust suction affordance detection method, we…

cs.RO2019

Bayesian Grasp: Robotic visual stable grasp based on prior tactile knowledge

Teng Xue, Wenhai Liu, Mingshuo Han +4

Robotic grasp detection is a fundamental capability for intelligent manipulation in unstructured environments. Previous work mainly employed visual and tactile fusion to achieve st…