Trevor Smith
EDUCATION
BS Mechanical Engineering, West Virginia University (2021)
BS Aerospace Engineering, West Virginia University (2021)
PhD Mechanical Engineering, West Virginia University (EST 2026)
BIO
Trevor Smith graduated from WVU in 2021 with a BS in Mechanical Engineering and a BS in Aerospace Engineering. Now he is pursuing his PhD in Mechanical Engineering, studying computational swarm robotics. Outside of research he enjoys robotics competitions and outreach. He competes in the University Rover Challenge Team as an Overall Team lead and as and inter-subteam. In addition to being a member of the WVU Robotics club (that teaches primarily freshman and sophmores about robotics), he mentors local high school Vex Robotics teams.
RESEARCH STATEMENT
Robotic swarms are a newly emerging field in robotics that provides the
advantages of high adaptability and non-single point failure, over
conventional single agent robots. Since robotic swarms leverage simple
and local agent rules, they can achieve tasks that are intractable for
conventional robots to solve. This is because each robot in the swarm
only has to solve a simple problem, which collectively emerges to
solve the complex global task. While conventional robotics require an
individual robot to directly solve the entire complex problem. This
process perfectly mirrors computational methods such as Computational
Fluid Dynamics (CFD). Where instead of trying to analytically solve a
complex flow field (conventional robotics), the flow is discretized into
multiple simple fluid elements that each solve for the local flow at
that element (robotic swarms). Therefore, if each robot in the swarm is
envisioned as a finite element, computational methods, such as CFD, can
be applied as agent level rules. This mitigates the great difficulty of
determining appropriate local agent rules to achieve a given global
task, due to the implicitness of global swarm robotics solutions. Thus
my research is in developing a generalized method for designing swarm
robotics algorithms using computational methods
KEYWORDS
- swarm robotics
- computational algorithms
- emergent behavior
- self-assembly robotics