TY - JOUR
T1 - PARAMETRIZED TOPOLOGICAL COMPLEXITY OF SPHERE BUNDLES
AU - Farber, Michael
AU - Weinberger, Shmuel
N1 - Publisher Copyright:
© 2023 Juliusz Schauder Centre for Nonlinear Studies.
PY - 2023/3
Y1 - 2023/3
N2 - Parametrized motion planning algorithms [1] have high degree of flexibility and universality, they can work under a variety of external conditions, which are viewed as parameters and form part of the input of the algorithm. In this paper we analyse the parameterized motion planning problem in the case of sphere bundles. Our main results provide upper and lower bounds for the parametrized topological complexity; the upper bounds typically involve sectional categories of the associated fibrations and the lower bounds are given in terms of characteristic classes and their properties. We explicitly compute the parametrized topological complexity in many examples and show that it may assume arbitrarily large values.
AB - Parametrized motion planning algorithms [1] have high degree of flexibility and universality, they can work under a variety of external conditions, which are viewed as parameters and form part of the input of the algorithm. In this paper we analyse the parameterized motion planning problem in the case of sphere bundles. Our main results provide upper and lower bounds for the parametrized topological complexity; the upper bounds typically involve sectional categories of the associated fibrations and the lower bounds are given in terms of characteristic classes and their properties. We explicitly compute the parametrized topological complexity in many examples and show that it may assume arbitrarily large values.
KW - Robot motion planning
KW - characteristic classes
KW - motion planning algorithm
KW - topological complexity
UR - http://www.scopus.com/inward/record.url?scp=85159821565&partnerID=8YFLogxK
U2 - 10.12775/TMNA.2022.049
DO - 10.12775/TMNA.2022.049
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AN - SCOPUS:85159821565
SN - 1230-3429
VL - 61
SP - 161
EP - 177
JO - Topological Methods in Nonlinear Analysis
JF - Topological Methods in Nonlinear Analysis
IS - 1
ER -