Sriram Yenamandra

Georgia Institute of Technology

Papers

4

Total Citations

103

H-Index

4

About

Sriram Yenamandra is a leading researcher in embodied AI, whose work bridges the gap between language, vision, and physical robot action. His primary research areas include embodied question answering, open-vocabulary mobile manipulation, and lifelong navigation. Yenamandra’s major contributions center on creating systems that allow robots to understand and interact with complex, real-world environments using natural language and visual cues. He led the development of **OpenEQA** (46 citations), a modern benchmark for embodied question answering that tests an agent’s ability to reason about its surroundings, and **GOAT: GO to Any Thing** (37 citations), a universal navigation system enabling mobile robots to find any object in unseen spaces. He is also the architect of **HomeRobot** (13 citations), an open-source platform for open-vocabulary mobile manipulation, and **GOAT-Bench** (7 citations), a benchmark for multi-modal lifelong navigation. His work is notable for its focus on practical, deployable systems that move beyond single-task, single-modality approaches, setting new standards for how robots can operate autonomously in homes and warehouses.

Research Focus

Key Achievements

4
H-Index
4
Papers
103
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
OpenEQA: Embodied Question Answering in the Era of Foundation Models
46 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: Georgia Institute of Technology

Top Papers

  1. 1
  2. 2
    GOAT: GO to Any Thing
    37 citations · 2024
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago