Saurabh Dingwani
Computer science
Hometown: Gwalior, Madhya Pradesh, India
Graduation date: Fall 2025
FURI | Summer 2025
LLMs as Guardian Angels: Real-World Task Planning with Safety-Critical Physical Systems
This research investigates the feasibility of using large language models (LLMs) as “guardian angels” to plan daily real-world tasks involving physical devices and evolving user contexts. The study introduces a novel framework that enables LLMs to manage multi-task planning, adhere to safety and physical constraints, and adapt to dynamic environments. A custom benchmark dataset is curated, representing complex scenarios in domains such as autonomous driving and healthcare. The research further develops an LLM-based evaluation method to assess plan quality and reduce human oversight. This framework highlights both the strengths and limitations of LLMs in safety-critical, human-centered planning tasks.
Mentor: Sandeep Gupta
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