Papers
1
Total Citations
3
H-Index
1
About
Partha Das is a researcher whose work sits at the intersection of robotics, human-computer interaction, and assistive technologies. His primary research areas include socially assistive robotics, real-time control systems, and multimodal human-robot interaction. Das made significant contributions by developing integrated approaches that combine face motion tracking, voice recognition, and wireless control to create more intuitive and responsive robotic systems for social assistance. His most cited work, "A Real-Time Face Motion Based Approach towards Modeling Socially Assistive Wireless Robot Control with Voice Recognition" (2015), with 3 citations, demonstrates his focus on making robots more accessible and responsive to human needs, particularly in assistive contexts. This work addresses the critical challenge of integrating planning, sensing, and control while accounting for the complex interactions between the robot, its task, and its environment. Das's research has implications for developing robots that can better serve individuals requiring assistance, bridging the gap between technical robotics and practical social applications. His work contributes to the growing field of socially assistive robotics, where the goal is to create machines that can meaningfully interact with and support humans in various settings.
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Top Papers
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