Max Asselmeier
Scholar

Max Asselmeier

Google Scholar ID: 8r_IwQ0AAAAJ
PhD Student in Robotics, Georgia Institute of Technology
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Citations & Impact
All-time
Citations
39
 
H-index
3
 
i10-index
2
 
Publications
12
 
Co-authors
10
list available
Publications
1 items
Resume (English only)
Academic Achievements
  • 2025: Work on perception-informed planning for mobile robots in dynamic environments accepted to ICRA 2025
  • 2024: Paper on multi-modal motion planning for quadrupeds on rebar grids accepted to ICRA 2024; presented at ICRA 2024 in Yokohama, Japan
  • 2023: Collaborative quadrupedal navigation work accepted to ICRA 2023
  • April 2023: Awarded NSF Graduate Research Fellowship (NSF GRFP)
  • Contributing a book chapter on gap-based planning in dynamic environments to Springer’s 'Algorithms for Machine Vision in Navigation and Control' (preprint on arXiv, to be published in 2026)