Rogerio Bonatti

Microsoft (United States), Microsoft Research (United Kingdom), Carnegie Mellon University

Papers

11

Total Citations

723

H-Index

7

About

No biography available yet.

Research Focus

Artificial intelligence11 · 723 citations
Computer science11 · 723 citations
Robot10 · 652 citations
Human–computer interaction6 · 613 citations
Robotics6 · 585 citations
Cognitive robotics2 · 519 citations
Robotic paradigms2 · 519 citations
Upload2 · 519 citations
Dialog box2 · 519 citations
Domain (mathematical analysis)2 · 519 citations
World Wide Web2 · 519 citations
Engineering9 · 279 citations

Key Achievements

7
H-Index
11
Papers
723
Total Citations
66
Avg Citations/Paper
🏆 Most Cited Paper
ChatGPT for Robotics: Design Principles and Model Abilities
429 citations · 2024
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Microsoft (United States), Microsoft Research (United Kingdom), Carnegie Mellon University

Top Papers

  1. 1
    ChatGPT for Robotics: Design Principles and Model Abilities
    429 citations · 2024
  2. 2
    ChatGPT for Robotics: Design Principles and Model Abilities
    90 citations · 2023
  3. 3
    Visual Servoing Approach to Autonomous UAV Landing on a Moving Vehicle
    71 citations · 2022
  4. 4
    Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers
    43 citations · 2022
  5. 5
    LATTE: LAnguage Trajectory TransformEr
    42 citations · 2023
  6. 6
    3D Human Reconstruction in the Wild with Collaborative Aerial Cameras
    15 citations · 2021
  7. 7
    PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training
    14 citations · 2023
  8. 8
    Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography
    5 citations · 2019
  9. 9
    Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-Supervised Regression
    5 citations · 2019
  10. 10
    Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
    5 citations · 2018

Key Collaborators

ABArthur Bucker5 shared papersSSSebastian Scherer5 shared papersAKAshish Kapoor5 shared papersSVSai Vemprala4 shared papersSMShuang Ma4 shared papersLFLuis Figueredo3 shared papersWWWenshan Wang3 shared papersYZYanfu Zhang2 shared papersSHSami Haddadin2 shared papersAAAayush Ahuja1 shared papersAKAshish Kapoor1 shared papersFVFelipe Vieira Frujeri1 shared papersECEfe Camci1 shared papersPRPuru Rastogi1 shared papersHFHarry Freeman1 shared papersAKAzarakhsh Keipour1 shared papersCHCherie Ho1 shared papersEKErdal Kayacan1 shared papersSHSami Haddadinl1 shared papersMGMirko Gschwindt1 shared papers
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