Nitish Gandi
Papers
1
Total Citations
3
H-Index
1
About
Nitish Gandi is a researcher at the intersection of human-robot interaction and assistive robotics, with a primary focus on developing intuitive, multimodal interfaces that reduce the cognitive and physical burden of robot teleoperation. His most cited work, "Specifying Target Objects in Robot Teleoperation Using Speech and Natural Eye Gaze" (2023), introduces a novel intent detection framework that fuses natural language commands with unconstrained eye gaze to enable seamless object selection and manipulation. By applying instance segmentation to the robot’s camera feed, Gandi’s system allows operators to specify target objects without cumbersome manual input or head-mounted trackers—a significant step toward more accessible robotic control for users with limited mobility or in high-stress environments. Though early in his career, his work has already garnered attention (3 citations) for its practical integration of computer vision and natural language processing in real-time teleoperation. Gandi’s contributions are particularly notable for their emphasis on preserving natural human behavior—using speech and gaze as they occur organically—rather than forcing users to adapt to rigid command structures. His research holds promise for advancing assistive technologies, remote surgery, and industrial automation, making him a rising voice in the field of human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1