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Towards tasking humanoids for lift-and-carry non-rigid material

Jean Chagas Vaz, Hyun‐Hee Lee, Youngbum Jun, Paul Oh

Year
2017
Citations
4

Abstract

The lift-and-carry of non-rigid objects is challenging for both people and bipedal robots. Examples include lifting and carrying jugs, jerry cans or bags that are respectively filled with water, gasoline or sand. Carrying such objects often makes it difficult to walk due to the shifting center-of-mass. As such, tripping and falling are risks. Such lift-and-carry is a common material handling task. For bipedal robots to be deployed in unstructured or cluttered environments like factory floors, agricultural fields or disaster sites, robust methods for lift-and-carry are needed. This paper motivates, highlights, and provides experimental results to underscore the value and challenges of the bipedal lift-and-carry of non-rigid objects.

Keywords

Lift (data mining)Carry (investment)RobotComputer scienceTrippingMobile robotEngineeringMarine engineeringSimulationArtificial intelligence

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