Adapting Robot Actions to Human Intentions in Dynamic Shared Environments
In my work, I study how robots can infer and adapt to human intentions in dynamic environments. My prior work focuses on three key methods for adapting robot actions based on inferences of human intent: passive observation, active influence, and high-level verbal commands. Moving forward, I aim to improve how robots anticipate and respond to evolving human behavior by addressing the challenges of predicting changes in human intentions and quantifying human adaptability.
Authors
- Debasmita Ghose (ORCID: https://orcid.org/0000-0001-8317-1865)
Institutions
- Yale University (US)
Publication Details
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1109/hri61500.2025.10974178
- Citations
- 1
- Primary Topic
- Social Robot Interaction and HRI
- Type
- article
- Field-Weighted Citation Impact
- 2.44
Funders
- National Science Foundation