Sidhartha Dey
Papers
2
Total Citations
10
H-Index
2
About
Sidhartha Dey is a robotics researcher specializing in safe, real-time motion planning and control for robotic manipulators operating under uncertainty. His work addresses a critical challenge in modern robotics: enabling manipulators to navigate arbitrary environments while avoiding collisions, respecting joint limits, and robustly handling uncertainties in object and robot mass and inertia. Dey’s major contribution is the development of Autonomous Robust Manipulation via Optimization with Uncertainty (ARM-OU), a framework that integrates real-time safety constraints with uncertainty-aware control. His most-cited papers, “Can Not Touch This” (2025, 6 citations) and “Can’t Touch This” (2023, 4 citations), have collectively garnered 10 citations, establishing a foundation for reliable manipulation in unpredictable settings. Notably, Dey’s work bridges the gap between theoretical optimization and practical deployment, offering a pathway for robots to operate safely alongside humans in dynamic environments. His research is particularly impactful for applications in manufacturing, healthcare, and service robotics, where precision and safety are paramount. Dey’s achievements underscore his commitment to advancing autonomous systems that can adapt to real-world uncertainties, making him a rising figure in the field of robotic manipulation and control.
Research Focus
Key Achievements
Top Papers
- 1
- 2