Akash Chikhalikar
Papers
5
Total Citations
19
H-Index
2
About
Akash Chikhalikar is a robotics researcher advancing the intelligence and autonomy of service robots operating in human-centric environments. His work centers on integrating semantic awareness, probabilistic reasoning, and large language models to enable robots to perform complex, high-level tasks. Chikhalikar’s most cited paper, “An Object-oriented Navigation Strategy for Service Robots Leveraging Semantic Information” (10 citations), reimagines traditional SLAM by embedding semantic understanding, allowing robots to navigate and interact more meaningfully. He further extends this in “Semantic-Based Multi-Object Search Optimization in Service Robots Using Probabilistic and Contextual Priors,” addressing the challenge of retrieving multiple objects for tasks like “Set table for dinner.” His innovative “Context-Aware Risk Estimation in Home Environments” introduces a probabilistic framework for real-time accident anticipation, a critical step toward safe domestic robotics. Most recently, Chikhalikar’s “Open Vocabulary Object Search Utilizing Large Language Models and Fuzzy Inferencing” tackles the scalability of object recognition, moving beyond rigid dictionaries to embrace the diversity of human-robot interactions. With a growing citation impact and a clear trajectory from semantic mapping to context-aware safety and open-vocabulary reasoning, Chikhalikar is shaping the next generation of perceptive, adaptable service robots.
Research Focus
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Top Papers
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