Theodore P. Pavlic

Arizona State University, The Ohio State University, Decision Systems (United States)

Papers

11

Total Citations

157

H-Index

6

About

No biography available yet.

Research Focus

Computer science11 · 157 citations
Artificial intelligence10 · 149 citations
Robot8 · 128 citations
Mathematics5 · 124 citations
Engineering5 · 104 citations
Mathematical optimization4 · 100 citations
Control (management)4 · 100 citations
Population4 · 100 citations
Control theory (sociology)3 · 88 citations
Simulation3 · 86 citations
Swarm behaviour3 · 81 citations
Machine learning3 · 76 citations

Key Achievements

6
H-Index
11
Papers
157
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Design of ant-inspired stochastic control policies for collective transport by robotic swarms
64 citations · 2014
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Arizona State University, The Ohio State University, Decision Systems (United States)

Top Papers

  1. 1
    Design of ant-inspired stochastic control policies for collective transport by robotic swarms
    64 citations · 2014
  2. 2
    Experiences With A Comprehensive Freshman Hands On Course Designing, Building, And Testing Small Autonomous Robots
    24 citations · 2020
  3. 3
    A stochastic hybrid system model of collective transport in the desert ant aphaenogaster cockerelli
    19 citations · 2013
  4. 4
    An Enzyme-Inspired Approach to Stochastic Allocation of Robotic Swarms Around Boundaries
    12 citations · 2016
  5. 5
    Quorum sensing without deliberation: biological inspiration for externalizing computation to physical spaces in multi-robot systems
    10 citations · 2021
  6. 6
    Bio-inspired Role Allocation of Heterogeneous Teams in a Site Defense Task
    8 citations · 2019
  7. 7
    Automated synthesis of scalable algorithms for inferring non-local properties to assist in multi-robot teaming
    6 citations · 2017
  8. 8
    Control of Stochastic Boundary Coverage by Multirobot Systems
    5 citations · 2014
  9. 9
    Learning local behavioral sequences to better infer non-local properties in real multi-robot systems
    4 citations · 2020
  10. 10
    How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams
    3 citations · 2020

Key Collaborators

SBSpring Berman5 shared papersGPGanesh P. Kumar4 shared papersSCStephen C. Pratt3 shared papersTCTaeyeong Choi3 shared papersSWSean Wilson3 shared papersSKSehyeok Kang2 shared papersABAurélie Buffin2 shared papersPDPrabal Dutta1 shared papersJRJake R. Hanson1 shared papersEJErik Justen1 shared papersAWAndréa W. Richa1 shared papersGVGabriele Valentini1 shared papersKAKathryn A. Johnson1 shared papersMJMichael J. Hoffmann1 shared papersJRJeffrey Radigan1 shared papersCPCharles Pippin1 shared papersSISara Imari Walker1 shared papersARAditya Ravichander1 shared papersLGLance Gharavi1 shared papersKMKaitlin M. Baudier1 shared papers
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