PK
P.V. Kulkarni
4 records found
1
Authored
We consider the problem of estimating an object’s pose in the absence of visual feedback after contact with robotic fingers during grasping has been made. Information about the object’s pose facilitates precise placement of the object after a successful grasp. If the grasp fai ...
Contributed
Tactile sensing provides crucial information about the stability of a grasped object by a robotic gripper. Tactile feedback can be used to predict slip, allowing for timely response to perturbations and to avoid dropping objects. Tactile sensors, included in robotic grippers, mea
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In this thesis, a geometry-based grasping method for vine-tomato is proposed. The method utilizes a geometric model of the robotic hand and truss to determine an optimal grasping location on the truss stem. This allows grasping a truss without requiring delicate contact sensors o
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Robotic Grasping of Deformable Food Objects
A Human-Inspired Reinforcement Learning Approach
There are many stages that involve humans handling food objects in the processing chains from farms to stores. For some of these tasks it is desirable to look for a robotic solution to either assist the human or even take over that task, e.g. if it is physically demanding, impose
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