Akash Sharma
Scholar

Akash Sharma

Google Scholar ID: LhKc2CsAAAAJ
Carnegie Mellon University | FAIR at Meta
RoboticsRepresentation learningTactile sensing3D reconstructionSLAM
Citations & Impact
All-time
Citations
107
 
H-index
5
 
i10-index
5
 
Publications
10
 
Co-authors
20
list available
Publications
10 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Paper “Sparsh-X” accepted as an Oral presentation at CoRL 2025
  • - Paper “Sparsh-skin” accepted at CoRL 2025
  • - Paper “DexterityGen: Foundation controller for Unprecedented Dexterity” accepted at RSS 2025
  • - Paper “Sparsh: Self-supervised touch representations for vision-based tactile sensing” accepted at CoRL 2024
  • - Paper “Neural Radiance Fields with LiDAR Maps” accepted at ICCV 2023
  • - Paper “Compositional and Scalable Object SLAM” accepted at ICRA 2021
Research Experience
  • - Visiting Researcher at FAIR, Meta, collaborating with the FAIR Robotics team
  • - Former Software Engineer at Infinera
Education
  • - Ph.D. candidate at the School of Computer Science, Carnegie Mellon University (CMU), advised by Prof. Michael Kaess
  • - Master's in Robotics from CMU, thesis on Object SLAM for robot navigation
  • - Bachelor’s degree in Electronics and Communication from Sri Jayachamarajendra College of Engineering (SJCE)
Background
  • Research interests include robot perception, multi-modal sensing (such as vision and touch) for dexterous manipulation, state estimation, and reconstruction in dynamic environments. Currently a Ph.D. candidate at the School of Computer Science, Carnegie Mellon University (CMU).
Miscellany
  • Enthusiast of mechanical keyboards, currently using a custom-built Sofle Keyboard.