Somnath Basu Roy Chowdhury

University of North Carolina Health Care

Papers

2

Total Citations

12

H-Index

2

About

Somnath Basu Roy Chowdhury is a researcher at the forefront of Embodied AI, focusing on building intelligent robotic systems that can understand and act upon natural language instructions in the physical world. His major contribution lies in developing modular, zero-shot learning frameworks for complex, multi-arm robotic manipulation. In his most cited work (2024, 10 citations), he introduced an embodied AI system that controls two robotic arms to collaboratively complete long-horizon tasks over a large workspace, all from open-ended human commands. This system leverages state-of-the-art Large Language Models for task planning, enabling it to generalize to novel tasks without explicit training. A key emphasis of his work is on safety and modularity, ensuring that the AI's actions are both reliable and interpretable. By pushing the boundaries of zero-shot learning in robotics, Chowdhury is paving the way for more adaptable and user-friendly embodied agents that can operate safely alongside humans in dynamic environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity
10 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of North Carolina Health Care

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago