Vijay Janapa Reddi

The University of Texas at Austin, Harvard University Press, Harvard University

Papers

28

Total Citations

486

H-Index

14

About

No biography available yet.

Research Focus

Computer science28 · 486 citations
Artificial intelligence25 · 408 citations
Robot18 · 356 citations
Embedded system12 · 275 citations
Real-time computing14 · 208 citations
Field-programmable gate array5 · 152 citations
Mobile robot7 · 137 citations
Speedup6 · 132 citations
Parallel computing6 · 132 citations
Obstacle avoidance5 · 124 citations
Robotics7 · 120 citations
Operating system8 · 119 citations

Key Achievements

14
H-Index
28
Papers
486
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation
43 citations · 2021
📈 Most Prolific Year: 2021 (11 Papers)
🤝 Key Collaborators: 69
🏛 Institutions: The University of Texas at Austin, Harvard University Press, Harvard University

Top Papers

  1. 1
    Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation
    43 citations · 2021
  2. 2
    Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology
    42 citations · 2021
  3. 3
    Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA
    39 citations · 2021
  4. 4
    Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
    38 citations · 2022
  5. 5
    The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines
    33 citations · 2020
  6. 6
    Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots
    31 citations · 2019
  7. 7
    Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities
    26 citations · 2022
  8. 8
    Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter
    26 citations · 2021
  9. 9
    RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots
    23 citations · 2023
  10. 10
    Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems
    22 citations · 2021

Key Collaborators

SKSrivatsan Krishnan11 shared papersBPBrian Plancher10 shared papersZWZishen Wan10 shared papersSMSabrina M. Neuman9 shared papersAFAleksandra Faust9 shared papersYHYu-Shun Hsiao9 shared papersTJTianyu Jia6 shared papersRGRadhika Ghosal6 shared papersBPBardienus P. Duisterhof5 shared papersARArijit Raychowdhury5 shared papersJCJonathan Cruz5 shared papersGWGu-Yeon Wei5 shared papersGDGuido de Croon4 shared papersBBBehzad Boroujerdian4 shared papersCBColby Banbury4 shared papersWFWilliam Fu4 shared papersDJDavid J. Brooks4 shared papersJJJason Jabbour3 shared papersAMAbdulrahman Mahmoud3 shared papersTBThomas Bourgeat3 shared papers
Not generated yet