Gauri Tulsulkar

About

Gauri Tulsulkar is a researcher at the forefront of social robotics and human-robot interaction, with a specific focus on improving the quality of life for cognitively impaired elderly individuals. Her work centers on leveraging computer vision and humanoid robots—most notably the Nadine robot—to create engaging, therapeutic interactions. Tulsulkar’s major contribution lies in demonstrating that social robots can effectively stimulate interactivity and provide psychosocial support in care settings, as evidenced by her highly cited 2021 study (45 citations) which used computer vision methods to analyze elderly engagement. She has also critically examined user perceptions, exploring the "uncanny valley" effect in interactive social agents (19 citations), ensuring that robot design remains both effective and comfortable for users. Her case studies, including a playful investigation of elderly individuals playing Bingo with Nadine, showcase her innovative, applied approach to robotics. By bridging advanced AI, computer vision, and real-world care scenarios, Tulsulkar’s work is paving the way for more empathetic and responsive assistive technologies, making her a key voice in the future of elderly care robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Can a humanoid social robot stimulate the interactivity of cognitively impaired elderly? A thorough study based on computer vision methods

   45 citations · 2021
2. 2
   Uncanny valley for interactive social agents: an experimental study

   19 citations · 2022
3. 3
   Nadine Robot in Elderly Care Simulation Recreational Activity: Using Computer Vision and Observations for Analysis

   7 citations · 2022
4. 4
   Nadine the Social Robot: Three Case Studies in Everyday Life

   6 citations · 2021
5. 5
   Does Elderly Enjoy Playing Bingo with a Robot? A Case Study with the Humanoid Robot Nadine

   2 citations · 2021

Key Collaborators

Contact & Links