Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/77125
Title: Dynamical uncontrolled manifolds on manipulators
Authors: Yeo, Zhan Fei
Keywords: DRNTU::Science::Mathematics::Geometry
DRNTU::Science::Physics::Descriptive and experimental mechanics
Issue Date: 2019
Abstract: Robotic manipulator arms are ubiquitous in modern manufacturing industries. Attempts to improve their task - equivalent stability has led robotics engineers to the neuro-biological concept of uncontrolled manifolds (UCMs). However, this concept only extends as far as static poses. This study attempts to generalise the notion of UCMs into their natural dynamical analogues. The structure and dimension of equivalent inputs to a Hamiltonian system for a given outcome was determined. For arbitrary Riemannian manifolds, a generalised version of PCA that works on any inner product space was derived to obtain a local linear estimate of the Hamiltonian system's inputs with simulation. The Sasaki Metric was then independently derived to determine a natural choice for this inner product. The torsionless connection is then studied as a choice to base the Sasaki Metric on. It remains to develop push-forward maps on tangent bundles to pull this Hamiltonian input manifold back into a dynamical UCM on the manipulator configuration tangent bundle. A simulation on the flat space TR3 was conducted to challenge the validity of the first theoretical statement, with favourable results. Additionally, the potential effectiveness of using a dynamical UCM method towards a throwing task was demonstrated.
URI: http://hdl.handle.net/10356/77125
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Student Reports (FYP/IA/PA/PI)

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