Praneel Mukherjee
Papers
1
Total Citations
3
H-Index
1
About
Praneel Mukherjee is a rising researcher at the forefront of socially-aware robotics, specializing in the intersection of natural language reasoning and autonomous navigation. His work addresses a critical gap in human-robot interaction: enabling mobile robots to navigate not just safely, but socially—interpreting and adhering to unwritten human norms rather than simply avoiding collisions. Mukherjee’s most notable contribution, **Social-LLaVA**, introduces a novel framework that leverages large language models to enhance robot navigation by reasoning through human-language cues. This approach, published in 2025 and already garnering early citations, moves beyond traditional hand-crafted or learning-based methods that often miss the nuanced, context-dependent nature of social spaces. By integrating visual and linguistic understanding, his research paves the way for robots that can intuitively navigate crowded environments, from hospital corridors to busy sidewalks. Mukherjee’s work is particularly impactful for students and researchers exploring embodied AI, demonstrating how language models can bridge the gap between machine perception and human social intelligence. With his innovative fusion of robotics and natural language processing, Mukherjee is shaping the next generation of autonomous systems that coexist harmoniously with people.
Research Focus
Key Achievements
Top Papers
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