Papers
5
Total Citations
16
H-Index
3
About
M. R. Dindarloo is a robotics researcher specializing in the calibration, control, and state estimation of parallel robotic systems, with a particular focus on cable-driven parallel robots (CDPRs) and haptic devices. Their work addresses fundamental challenges in making these robots more accurate, deployable, and autonomous. A key contribution is the development of graph-based self-calibration frameworks that explicitly account for real-world phenomena like cable sag, enabling precise kinematic parameter identification without external measurement systems. Dindarloo has also advanced sensor fusion techniques, combining onboard cameras with kinematic sensors through statistical frameworks for rapid, accurate state estimation—a critical step toward fast-deployable CDPRs. Their research extends to dynamic calibration and trajectory control for specialized haptic systems, such as the ARASH haptic device for eye surgery training, and explores modern control paradigms like deep reinforcement learning for managing complex cable dynamics. With over 16 citations across their most-cited works, Dindarloo’s contributions are steadily gaining recognition for bridging the gap between theoretical robotics and practical, high-accuracy applications in medical training and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Kinematic Calibration of a Spherical Parallel Robot5 citations · 2023
- 2
- 3On The Dynamic Calibration and Trajectory Control of ARASH:ASiST3 citations · 2022
- 4
- 5