Siddhant Bhambri
Bharati Vidyapeeth Deemed University, Arizona State University
Papers
8
Total Citations
75
H-Index
5
About
Siddhant Bhambri’s research lies at the intersection of robotics, human-robot interaction, and artificial intelligence, with a focus on making intelligent systems more perceptive, accessible, and autonomous. His early work pioneered assistive technologies, including an intelligent smart glass for the visually impaired that integrates deep learning and the Robot Operating System (ROS), a contribution that has garnered 23 citations. He also developed a multi-fingered dexterous hand controlled via virtual reality and a self-driving car platform, both leveraging ROS and machine vision. More recently, Bhambri has tackled fundamental questions in AI, notably investigating whether large language models possess genuine Theory of Mind abilities in human-robot interaction—a provocative study that has already attracted 18 citations. His work on learning visual attention as affordance cues for robotic grasping, and on exploiting unlabeled data for feedback-efficient preference-based reinforcement learning, demonstrates a commitment to advancing robot learning with minimal human supervision. Across his publications, Bhambri combines technical innovation with a clear vision for socially impactful robotics, from pet-feeding robots to bio-regenerative systems for space farming, marking him as a versatile and forward-thinking researcher in embodied AI.
Research Focus
Key Achievements
Top Papers
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- 4Design and Development of Innovative Pet Feeding Robot6 citations · 2018
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