Daksh Dhingra

University of Washington

Papers

3

Total Citations

85

H-Index

3

About

Daksh Dhingra is a leading researcher at the intersection of robotics, tactile sensing, and micro-aerial vehicle design. His work spans two challenging domains: enabling robots to manipulate objects with precision using combined vision and touch, and advancing the control of insect-sized flying robots (FIRs). Dhingra’s most cited paper, “VisuoTactile 6D Pose Estimation of an In-Hand Object Using Vision and Tactile Sensor Data” (2022, 51 citations), tackles the difficult problem of estimating an object’s full 3D position and orientation while it is gripped by a robot—a scenario where visual occlusion from grippers often defeats purely vision-based methods. By fusing tactile feedback with visual data, his approach significantly improves robustness for in-hand manipulation. In parallel, Dhingra has made notable contributions to FIRs, including a device for rapid, automated trimming of sub-500-milligram flapping-wing robots (2020, 26 citations), addressing a key manufacturing bottleneck. His recent work on modeling and LQR control of these robots (2025, 8 citations) pushes beyond standard PID control to enable the agile maneuvers seen in insects, such as backflips and sharp turns. Dhingra’s research is foundational for next-generation dexterous manipulation and autonomous micro-drones.

Research Focus

Key Achievements

3
H-Index
3
Papers
85
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
VisuoTactile 6D Pose Estimation of an In-Hand Object Using Vision and Tactile Sensor Data
51 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Washington

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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