Papers
13
Total Citations
72
H-Index
5
About
Krishna Kodur is a leading researcher in human-robot interaction (HRI) and assistive robotics, with a focus on developing intelligent robotic systems that can collaborate naturally with humans. His work spans three key areas: robot learning from spoken language, kinematic calibration for safe physical interaction, and assistive robots for healthcare and individuals with visual impairments. Kodur’s major contributions include the development of the Multitasking Intelligent Nurse Aid (MINA) robot, designed to alleviate nurse burnout by autonomously performing non-critical tasks in hospital environments. He also pioneered a self-contained kinematic calibration algorithm for whole-body artificial skin, enabling safer human-robot collaboration. His research on patient-robot co-navigation in crowded hospitals and robot learning from unstructured spoken language has garnered significant attention, with his top-cited papers accumulating over 65 citations. Notably, his 2023 study on robot learning from spoken language involved 25 participants and demonstrated the robot’s ability to distinguish instructions from unrelated conversations. Kodur’s work has been recognized for its practical impact, particularly in assistive robotics for persons with visual impairments, and his recent exploration of gender dynamics in HRI underscores his commitment to inclusive, user-centered design.
Research Focus
Key Achievements
Top Papers
- 1
- 2Patient–Robot Co-Navigation of Crowded Hospital Environments10 citations · 2023
- 3Towards Robot Learning from Spoken Language8 citations · 2023
- 4MINA: A Multitasking Intelligent Nurse Aid Robot7 citations · 2021
- 5Quaternion based wireless AHRS data transfer using nRF24L01 and HC-057 citations · 2016
- 6
- 7
- 8End-User Framework for Robot Control4 citations · 2021
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- 10