Scholar
Aravind Rajeswaran
Google Scholar ID: _EJrRVAAAAAJ
Meta AI, UC Berkeley
AI agents
Reinforcement Learning
Robotics
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Citations & Impact
All-time
Citations
11,447
H-index
33
i10-index
40
Publications
20
Co-authors
0
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Publications
3 items
Fara-7B: An Efficient Agentic Model for Computer Use
2025
Cited
0
Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
2025
Cited
0
LIFT-GS: Cross-Scene Render-Supervised Distillation for 3D Language Grounding
2025
Cited
0
Resume (English only)
Academic Achievements
CVPR 2024: Foundation Models for Agentic Perception (PI)
ICML 2025: Locate 3D (PI and Tech Lead)
NeurIPS 2023: VC-1 (PI and Tech Lead)
Best Paper Award at ICRA 2022 Workshop: R3M
NeurIPS 2021: Decision Transformer
RSS 2018: Learning Complex Dexterous Manipulation
ICML 2023: Masked Trajectory Models
NeurIPS 2020: MOReL
Mentored numerous undergraduates and PhD students, many now at Meta, DeepMind, Anthropic, Tesla, etc.
Background
Interested in building generalist AI agents that can operate in the open world
Research integrates reinforcement learning, representation learning, and world models
Currently a Research Scientist at Meta AI (FAIR)
Visiting PostDoc / Collaborator at Berkeley AI Research Lab (BAIR)
Collaborates with Prof. Pieter Abbeel (UC Berkeley) and Prof. Abhinav Gupta (CMU)
Co-authors
0 total
Co-authors: 0 (list not available)
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