Nagasrikanth Kallakuri
Advanced Telecommunications Research Institute International, Carnegie Mellon University
Papers
6
Total Citations
178
H-Index
5
About
Nagasrikanth Kallakuri is a pioneering researcher at the intersection of autonomous navigation, human-robot interaction, and assistive technology. His work fundamentally redefines how robots perceive and move through human environments—not merely as obstacles to avoid, but as spaces to navigate comfortably. His most influential contribution, the concept of a “comfortable map” for autonomous robotic wheelchairs (75 citations), introduced human factors like ride smoothness and perceived safety into navigation algorithms. He further advanced this with a 3D visibility model (35 citations) that correlates a robot’s pose with human comfort, a critical insight for autonomous vehicles. Beyond comfort, Kallakuri innovated in multi-modal sensing: he developed auditory maps using mobile microphone arrays (18 citations) and pioneered audio ray tracing to detect entities in blind regions (11 citations), enabling robots to “hear” around corners. His work on brain-controlled smart home environments (34 citations) integrated noninvasive brain-machine interfaces with domotics and robotics, directly aiding aging and disabled populations. With over 178 total citations across his most-cited papers, Kallakuri’s research bridges robotics, cognitive science, and human-centered design, establishing foundational principles for truly comfortable and perceptually aware autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Human-comfortable navigation for an autonomous robotic wheelchair75 citations · 2013
- 2Visibility analysis for autonomous vehicle comfortable navigation35 citations · 2014
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- 5Audio ray tracing for position estimation of entities in blind regions11 citations · 2014
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