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Henrik G. Petersen

4 accepted papers

2021

A New Method for Generating Work Piece Surface Representations for Robotic Machining

IROS 2021poster

Execution of automatically generated programs for accurate robotic machining requires the generated trajectories to be not only accurate with respect to the work piece, but also that the trajectories are continuous differentiable (C1) while avoiding unnecessary large curvatures leading to large acce…

Cited by 1SourceScholar
2021

Automated Generation of Robot Trajectories for Assembly Processes Requiring Only Sparse Manual Input

ICRA 2021poster

In this paper, a new method for offline programming part assembly operations with tight fittings is presented. More specifically, an assembly process trajectory generator with self programming capabilities is developed where the user needs to provide only very sparse and intuitive input. The present…

Cited by 4SourceScholar
2021

Mathematical Modeling of a Highly Underactuated Tool for Draping Fiber Plies on Double Curved Molds

ICRA 2021poster

In this paper, we present a model based approach for predicting the forward kinematics of a tool for picking prepreg fiber plies from a flat table and draping them onto a double curved mold. The tool consists of suction cups interlinked with springs. The tool has 60 actuated and 240 passive degrees…

Cited by 2SourceScholar
2017

A framework for handling and combining inaccuracy propagation in robot subtasks for industrial assembly

IROS 2017poster

Automated assembly operations have traditionally been carried out using “hard automation”, where all parts to be handled during the operation are located at known positions with very high accuracy. Such automation solutions are often mechanically very expensive to implement and also the programming…

Cited by 2SourceScholar