Papers

5

Total Citations

221

H-Index

4

About

Bipasha Sen is a roboticist whose research sits at the intersection of 3D scene understanding, motion planning, and manipulation. Her most impactful contribution is **ConceptGraphs**, an open-vocabulary 3D scene graph framework that enables robots to perceive and plan within semantically rich, compact representations of their environment. This work, published in 2024, has already garnered **178 citations**, reflecting its significance in bridging large vision-language models with practical robotic perception. Sen’s work on **EDMP** (Ensemble-of-costs-guided Diffusion for Motion Planning) further advances robot autonomy by integrating learned cost functions into diffusion-based planning, offering adaptability across diverse scenes without task-specific retraining. She has also tackled constrained 6-DoF grasp generation for complex shapes, a critical challenge for dual-arm manipulation, and contributed to the foundational understanding of perception stacks for table-top rearrangement tasks. Sen’s research is notable for its practical focus on enabling robots to operate in unstructured, real-world environments, making her a rising figure in embodied AI and robotic manipulation.

Research Focus

Key Achievements

4
H-Index
5
Papers
221
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning
178 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Université de Montréal, Massachusetts Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago