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Found 5 papers, 0 papers with code
Optimization Model for Planning Precision Grasps with Multi-Fingered Hands
Searching precision grasps on the object represented by point cloud, is challenging due to the complex object shape, high-dimensionality, collision and undesired properties of the sensing and positioning.
Robotics
Efficient Grasp Planning and Execution with Multi-Fingered Hands by Surface Fitting
The framework includes a multi-dimensional iterative surface fitting (MDISF) for grasp planning and a grasp trajectory optimization (GTO) for grasp imagination.
Robotics
A Learning Framework for High Precision Industrial Assembly
The framework combines both the supervised learning and the reinforcement learning.
A Learning Framework for Robust Bin Picking by Customized Grippers
In this paper, we propose a learning framework to plan robust grasps for customized grippers in real-time.
Grasp Planning for Customized Grippers by Iterative Surface Fitting
The proposed algorithm is able to consider the structural constraints of the gripper and plan optimal grasps in real-time.
Robotics
