Karmesh Yadav
Scholar

Karmesh Yadav

Google Scholar ID: VsTyEcQAAAAJ
Ph.D. Student at Georgia Tech
Reinforcement LearningEmbodied AI
Citations & Impact
All-time
Citations
1,322
 
H-index
12
 
i10-index
13
 
Publications
19
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Publications: Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning; Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control; Projects: Released the HM3D-Semantics dataset and the Open-Vocabulary Mobile Manipulation benchmark based on Habitat Simulator; Organized multiple challenges on Embodied Navigation and Rearrangement in CVPR and NeurIPS
Research Experience
  • Intern, Technical Staff, AI, Yutori, Aug 2024 – Nov 2024, San Francisco; AI Resident, Facebook AI Research, Aug 2021 – Jun 2023, Menlo Park; Robotics Engineer, ISEE, Jul 2020 – Aug 2021, Pittsburgh; Software Development Intern, ISEE, May 2019 – Aug 2019, Boston
Education
  • Ph.D. in Computer Science, 2026, Georgia Institute of Technology; Masters in Robotic Systems Development, 2020, Carnegie Mellon University; B.Tech in Mechanical Engineering, 2017, Indian Institute of Technology, Guwahati
Background
  • Research Interests: Embodied AI, Robot Learning, Reinforcement Learning; Background: PhD student at Georgia Tech, advised by Prof. Dhruv Batra and Prof. Zsolt Kira. Previously, an AI Resident at FAIR working with the Habitat and Cortex team under the supervision of Dr. Oleksandr Maksymets and Prof. Batra. Worked as a Senior Robotics Engineer at ISEE, an autonomous vehicles startup.
Miscellany
  • Resume available for download