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Title:Robot motion planning via curve shortening flows
Author(s):Fan, Yinai
Director of Research:Belabbas, Mohamed-Ali
Doctoral Committee Chair(s):Mehta, Prashant
Doctoral Committee Member(s):Dullerud, Geir Eirik; Liberzon, Daniel
Department / Program:Mechanical Sci & Engineering
Discipline:Mechanical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):motion planning
optimal control
trajectory optimization
nonlinear dynamical systems
geometric control
nonholonomic constraints
Abstract:This work will present a series of developments of geometric heat flow method in robot motion planning and estimation. The key of geometric heat flow is to formulate the motion planning problem into a curve shortening problem. By solving the geometric heat flow, an arbitrary initial curve can be deformed to a curve of minimal length, which corresponds to a feasible motion. Preliminary theories and algorithms for motion planning based on geometric heat flow have been developed for driftless control affine systems. The main contribution of this research is to extend the algorithm to robotic systems, which are dynamic systems with drifts and different types of constraint. Early stages of the research focus on adapting the algorithm to solve motion planning problems for systems with drift. To tackle systems with drift, actuated curve length and affine geometric heat flow is proposed. The method is then enriched to solve robot gymnastics motion planning, in which the effect of state constraints is encoded into curve length. Free boundary conditions are also studied to enforce the conservation of the robot's momentum. The second stage of the research focus on the construction of the geometric heat flow framework for robot locomotion planning, which involves hybrid dynamics due to contact. The activation and deactivation of phase-dependent constraints are controlled by activation functions. Lastly, to solve 3D problems in robotics, planning and estimation in SO(3) space is formulated using the geometric heat flow method.
Issue Date:2021-11-16
Type:Thesis
URI:http://hdl.handle.net/2142/113836
Rights Information:Copyright 2021 Yinai Fan
Date Available in IDEALS:2022-04-29
Date Deposited:2021-12


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