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William Stewart

William Stewart

· Assistant Professor, Ph.D., 2018, North Carolina State University

Stony Brook University · Mechanical Engineering

Active 1844–2025

h-index44
Citations9.2k
Papers24123 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

William Stewart is an Assistant Professor at the Department of Mechanical Engineering at Stony Brook University. His research focuses on aerial robotics, soft actuators and materials, and mechanics and bioinspired design principles. His work involves developing innovative robotic systems and materials that draw inspiration from biological systems, aiming to advance the capabilities and applications of robotics and soft materials in engineering.

Research topics

  • Computer Science
  • Machine Learning
  • Physics
  • Statistical physics
  • Artificial Intelligence
  • Aerospace engineering
  • Marine engineering
  • Mathematical optimization
  • Structural engineering
  • Mathematics

Selected publications

  • Numerical Solution of Markov Chains

    CRC Press eBooks · 2021 · 135 citations

    1st authorCorresponding

    Papers presented at a workshop held January 1990 (location unspecified) cover just about all aspects of solving Markov models numerically. There are papers on matrix generation techniques and generalized stochastic Petri nets; the computation of stationary distributions, including aggregation/disagg

  • Introduction to the Numerical Solution of Markov Chains

    2021 · 59 citations

    1st authorCorresponding
  • Avian-Inspired Claws Enable Robot Perching or Walking

    IEEE/ASME Transactions on Mechatronics · 2023-11-21 · 19 citations

    articleOpen access

    Multimodal unmanned aerial vehicles (UAVs) are rarely capable of more than two modalities, i.e., flying and walking or flying and perching. However, being able to fly, perch, and walk could further improve their usefulness by expanding their operating envelope. For instance, an aerial robot could fly a long distance, perch in a high place to survey the surroundings, and then walk to avoid obstacles that could potentially inhibit flight. Birds are capable of these three tasks, and so offer a prac…

  • Crash-perching on vertical poles with a hugging-wing robot

    Communications Engineering · 2024-07-12 · 14 citations

    articleOpen access

    Abstract Perching with winged Unmanned Aerial Vehicles has often been solved by means of complex control or intricate appendages. Here, we present a method that relies on passive wing morphing for crash-landing on trees and other types of vertical poles. Inspired by the adaptability of animals’ and bats’ limbs in gripping and holding onto trees, we design dual-purpose wings that enable both aerial gliding and perching on poles. With an upturned nose design, the robot can passively reorient from…

  • MARCA: Markov Chain Analyzer, A Software Package for Markov Modeling

    2021-06-16 · 11 citations

    book-chapter1st authorCorresponding

    MARCA (MARkov Chain Analyzer) is a software package designed to facilitate the generation of large Markov chains and to compute transient probability distributions of the chain at different times as well as its stationary probability vector. The resources are effectively on loan to the process, to be returned when asked for by the operating system, or when the process has finished needing them. Unused resources are kept in a free resource pool. In terms of balls and buckets, a unit of resource m…

Frequent coauthors

  • Gerald I. Cohen

    St. John Hospital & Medical Center

    26 shared
  • Dario Floreano

    22 shared
  • Brigitte Plateau

    20 shared
  • Ian K. Bartol

    Old Dominion University

    18 shared
  • B. Plateau

    Institut national de recherche en informatique et en automatique

    18 shared
  • Allan L. Klein

    Cleveland Clinic

    17 shared
  • Paul S. Krueger

    University of North Texas

    16 shared
  • Delos M. Cosgrove

    Ollscoil na Gaillimhe – University of Galway

    14 shared

Education

  • Ph.D., Mechanical Engineering

    Stony Brook University

    2015
  • M.S., Mechanical Engineering

    Stony Brook University

    2011
  • B.S., Mechanical Engineering

    University of California, Berkeley

    2009

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