### Research Statement

I study *numerical algebraic geometry*, which concerns the development of numerical algorithms
to solve systems of polynomial equations. While these techniques are relevant to many disciplines, my motivation has
been rooted their application to *robots and mechanisms*. More recently, I have been concentrating
on questions concerning battery systems for electric and hybrid vehicles, especially *battery state estimation*.

The area of *kinematics* of robots and mechanisms is primarily concerned
with collections of rigid bodies with geometric constraints between them. Examples of
such constraints are rotational hinges, prismatic (linearly sliding) joints, and
spherical (ball-and-socket) joints. Mathematical models based on ideal joints
and rigid bodies closely approximate the motion of many practical devices,
ranging from steering and suspension systems on vehicles to multi-limbed robots.

The most common geometric constraints involve entities that are algebraic (points, lines, planes,
cylinders, and spheres), and since squared distances are algebraic also, the mathematical models
are algebraic. Thus, the questions to be answered fall within the domain of
*algebraic geometry*. In the late 19th century and early 20th century, these
questions were actively pursued in mathematical circles, and such well-knowns
as
Cayley,
Chebychev,
Kempe,
Schönflies,
Study, and
Sylvester made significant
contributions. Subsequently,
the main thread of algebraic geometry moved to a higher level of abstraction
and the study of kinematics became mainly the province of engineers.
Cross-fertilization between the fields resumed in the late
20th century as fast computers and the bloom of robotics inspired engineers
to ask new and difficult questions that have once again drawn the attention of applied mathematicians.

To answer questions from kinematics, as well as algebraic questions from other
disciplines such as chemistry and computer graphics, one needs to
describe and manipulate the solution sets of systems of polynomial equations.
One of several computational techniques for addressing these systems is *polynomial
continuation*. In 1995, Andrew Sommese (Notre Dame) and
I coined the term *numerical algebraic geometry* to describe a new class
of algorithms to deal with positive-dimensional solution sets, built on top of existing
techniques of polynomial continuation for finding isolated solutions. Past work with Andrew and
Jan Verschelde (UIC)
includes algorithms to compute irreducible decompositions, membership tests,
and the intersection of algebraic varieties. Since about 2003, I have been working with Andrew Sommese,
Daniel Bates, and Jon Hauenstein
on extensions to these methods and on the software package,
Bertini. In Fall 2013, our book on Bertini
was published in the SIAM Software and Environments series.

Charles Wampler homepage.