Siddharth Patki
Papers
8
Total Citations
47
H-Index
4
About
Siddharth Patki is a robotics researcher whose work sits at the intersection of natural language processing, human-robot interaction, and autonomous systems. His research focuses on enabling robots to understand and act upon complex natural language instructions in dynamic, real-world environments — a challenge that demands seamless integration of perception, planning, and linguistic reasoning. Patki's most influential contribution, "Robot-Initiated Specification Repair through Grounded Language Interaction" (2017, 14 citations), introduced a framework allowing robots to identify and resolve ambiguities between user intent and formal task representations through dialogue. This work laid groundwork for more robust human-robot communication. Complementing this, his research on language-guided adaptive perception demonstrated how robots can dynamically adjust their perceptual focus based on linguistic context, significantly improving efficiency in cluttered and unstructured environments. His 2022 work on language understanding for field and service robots (10 citations) broadened the scope of grounded communication to unknown environments, while subsequent research explored interpretability of grounded language models and hierarchical symbolic representations for mobile manipulators. Collectively, Patki's portfolio addresses both theoretical and practical barriers to deploying communicative robots in everyday human settings, making his work particularly relevant for researchers advancing collaborative autonomy and embodied AI systems.
Research Focus
Key Achievements
Top Papers
- 1Robot-Initiated Specification Repair through Grounded Language Interaction14 citations · 2017
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