Samuel Triest

Carnegie Mellon University

Papers

5

Total Citations

115

H-Index

4

About

No biography available yet.

Research Focus

Computer science5 · 115 citations
Artificial intelligence5 · 115 citations
Machine learning2 · 79 citations
Terrain2 · 63 citations
Computer vision2 · 60 citations
Engineering4 · 59 citations
Robot1 · 56 citations
Pipeline (software)1 · 56 citations
Ranging1 · 56 citations
Scale (ratio)1 · 56 citations
Reinforcement learning2 · 30 citations
Human–computer interaction2 · 29 citations

Key Achievements

4
H-Index
5
Papers
115
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability
56 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1
    How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability
    56 citations · 2023
  2. 2
    TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks
    25 citations · 2024
  3. 3
    Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation
    23 citations · 2023
  4. 4
    Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning
    7 citations · 2022
  5. 5
    UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments
    4 citations · 2024

Key Collaborators

SSSebastian Scherer5 shared papersWWWenshan Wang3 shared papersMGMateo Guaman Castro3 shared papersMSMatthew Sivaprakasam2 shared papersPMParv Maheshwari2 shared papersMNMicah Nye1 shared papersWWWenshan Wang1 shared papersJGJohn G. Rogers1 shared papersASAndrew Saba1 shared papersSJSean J. Wang1 shared papersAAAli-Akbar Agha-Mohammadi1 shared papersJMJason M. Gregory1 shared papersDDDavid D. Fan1 shared papersSWSteve Willits1 shared papersAMAaron M. Johnson1 shared papers
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