Gautam Salhotra

University of Southern California, University of Colorado Boulder, Jet Propulsion Laboratory, Southern California University for Professional Studies

Papers

12

Total Citations

493

H-Index

7

About

No biography available yet.

Research Focus

Computer science11 · 486 citations
Artificial intelligence10 · 482 citations
Robot9 · 363 citations
Human–computer interaction4 · 340 citations
Engineering3 · 257 citations
Modular design2 · 156 citations
Systems engineering2 · 156 citations
Autonomy2 · 156 citations
Computer graphics (images)1 · 119 citations
Geography2 · 112 citations
Architecture1 · 105 citations
Archaeology1 · 105 citations

Key Achievements

7
H-Index
12
Papers
493
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration<sup>0</sup>
119 citations · 2024
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 262
🏛 Institutions: University of Southern California, University of Colorado Boulder, Jet Propulsion Laboratory, Southern California University for Professional Studies

Top Papers

  1. 1
    Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration<sup>0</sup>
    119 citations · 2024
  2. 2
    NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM\n CoSTAR at the DARPA Subterranean Challenge
    105 citations · 2021
  3. 3
    Open X-Embodiment: Robotic Learning Datasets and RT-X Models
    101 citations · 2023
  4. 4
    NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge
    51 citations · 2022
  5. 5
    PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments
    46 citations · 2021
  6. 6
    Learning Deformable Object Manipulation From Expert Demonstrations
    32 citations · 2022
  7. 7
    Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
    15 citations · 2020
  8. 8
    An Addendum to NeBula: Toward Extending Team CoSTAR’s Solution to Larger Scale Environments
    7 citations · 2024
  9. 9
    PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments
    7 citations · 2021
  10. 10
    Adaptive Sampling using POMDPs with Domain-Specific Considerations
    4 citations · 2021

Key Collaborators

GSGaurav S. Sukhatme6 shared papersSKSung-Kyun Kim5 shared papersKOKyohei Otsu5 shared papersABAmanda Bouman5 shared papersJWJoel W. Burdick5 shared papersDDDavid D. Fan4 shared papersFCFernando Chávez3 shared papersMKMarcel Kaufmann3 shared papersAAAli Agha3 shared papersÀSÀngel Santamaria‐Navarro3 shared papersAKArash Kalantari3 shared papersCKChristoforos Kanellakis3 shared papersSFSeyed Fakoorian3 shared papersCEChristopher E. Denniston3 shared papersTPTorkom Pailevanian3 shared papersDHDavid Hyunchul Shim3 shared papersBTBrett T. Lopez3 shared papersTTThomas Touma3 shared papersMSMaíra Saboia da Silva3 shared papersKEKamak Ebadi3 shared papers
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