Date of Award
Doctor of Philosophy
Caleb D. Rucker
William R. Hamel, Eric J. Barth, Jindong Tan
Continuum Robots are bio-inspired structures that mimic the motion of snakes, elephant trunks, octopus tentacles, etc. With good design, these robots can be naturally compliant and miniaturizable, which makes Continuum Robots ideal for traversing narrow complex environments. Their flexible design, however, prevents us from using traditional methods for controlling and estimating loading on rigid link robots.
In the first thrust of this research, we provided a novel stiffness control law that alters the behavior of an end effector during contact. This controller is applicable to any continuum robot where a method for sensing or estimating tip forces and pose exists. Using an integral approach, the control law is be capable of dictating different stiffness in multiple directions, both increase and decrease the stiffness of the end effector, as well as handle contacts with both rigid and compliant environments. An example of implementation is provided for a parallel continuum robot.
In the second thrust of this research, we introduce a general 3D load estimation approach that can be applied to any continuum robot with an existing kinetostatic model that maps actuation and externally applied loads into a robot pose. This method uses numerical minimization to predict a load distribution that will fit a robot model predicted shape to a directly sensed shape. Validation was preformed on a passive steel rod, a single degree of freedom tendon robot, and a two degree of freedom tendon robot.
Aloi, Vincent A., "Model Based Force Estimation and Stiffness Control for Continuum Robots. " PhD diss., University of Tennessee, 2022.