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
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002