Sean Kirmani

Google (United States), The University of Texas at Austin, Google DeepMind (United Kingdom)

Papers

17

Total Citations

340

H-Index

6

About

No biography available yet.

Research Focus

Computer science17 · 340 citations
Artificial intelligence14 · 319 citations
Human–computer interaction9 · 258 citations
Spatial intelligence2 · 168 citations
Natural language processing1 · 163 citations
Robot12 · 153 citations
Programming language3 · 68 citations
Code (set theory)2 · 63 citations
Robotics5 · 55 citations
Interpretability1 · 45 citations
Human–robot interaction1 · 45 citations
Context (archaeology)2 · 43 citations

Key Achievements

6
H-Index
17
Papers
340
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
163 citations · 2024
📈 Most Prolific Year: 2024 (6 Papers)
🤝 Key Collaborators: 201
🏛 Institutions: Google (United States), The University of Texas at Austin, Google DeepMind (United Kingdom)

Top Papers

  1. 1
    SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
    163 citations · 2024
  2. 2
    Passive Demonstrations of Light-Based Robot Signals for Improved Human Interpretability
    45 citations · 2018
  3. 3
    Language to Rewards for Robotic Skill Synthesis
    38 citations · 2023
  4. 4
    How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies
    25 citations · 2024
  5. 5
    Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
    15 citations · 2023
  6. 6
    AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
    14 citations · 2024
  7. 7
    PRISM: Pose Registration for Integrated Semantic Mapping
    5 citations · 2018
  8. 8
    RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
    5 citations · 2023
  9. 9
    SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
    5 citations · 2024
  10. 10
    PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
    5 citations · 2024

Key Collaborators

DSDorsa Sadigh7 shared papersMGMontserrat Gonzalez Arenas6 shared papersKRKanishka Rao6 shared papersTXTed Xiao6 shared papersCFChuyuan Fu6 shared papersSLSergey Levine5 shared papersBIBrian Ichter5 shared papersKHKarol Hausman5 shared papersQVQuan Vuong5 shared papersKGKeerthana Gopalakrishnan5 shared papersDDDanny Driess4 shared papersTXTed Xiao4 shared papersCFChelsea Finn4 shared papersZXZhuo Xu4 shared papersMBMatthew Bennice4 shared papersCFCody Fong3 shared papersDWDaniel W. C. Ho3 shared papersRRRyan R. Julian3 shared papersILIsabel Leal3 shared papersPWPaul Wohlhart3 shared papers
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