Manish Malik
Papers
1
Total Citations
16
H-Index
1
About
Dr. Manish Malik is a researcher whose work bridges human-robot interaction, teleoperation, and sensor-supported learning systems. His key contributions center on understanding how operators adapt to varying levels of sensor feedback when controlling mobile robots remotely. In his most-cited study, "Adjustment of Tele-Operator Learning When Provided with Different Levels of Sensor Support While Driving Mobile Robots" (2017, 16 citations), Dr. Malik systematically examined how sensor augmentation influences operator performance and learning curves in teleoperation tasks. This work has provided foundational insights into designing more intuitive and adaptive human-robot interfaces, particularly for applications in hazardous environments, space exploration, and remote inspection. By quantifying the trade-offs between sensor support and operator autonomy, his research informs the development of training protocols and interface designs that optimize both safety and efficiency. Dr. Malik’s findings have been cited by scholars in robotics, cognitive ergonomics, and human factors engineering, underscoring their relevance to advancing teleoperation systems. His work continues to shape how researchers approach the challenge of balancing technological assistance with human skill development in complex, remote-control scenarios.
Research Focus
Key Achievements
Top Papers
- 1