Kashish Dhal
Papers
3
Total Citations
30
H-Index
2
About
Kashish Dhal is a robotics researcher whose work centers on bio-inspired underwater locomotion and collision avoidance in complex environments. His most impactful contribution, "Model-Based Control of a Robotic Fish to Enable 3D Maneuvering Through a Moving Orifice" (23 citations), addresses a critical challenge in underwater robotics: achieving precise three-dimensional control without relying on bulky compressed air or piston systems. This work has significant implications for environmental monitoring and underwater exploration. Dhal has also advanced the field of motion planning by developing novel approaches that account for the actual shapes of moving objects—modeling them as quadric and polygonal surfaces rather than simple circles—enabling safer and more efficient collision avoidance and rendezvous in cluttered planar environments. His subsequent papers (2021, 2023) build on this framework, progressively tackling robustness and real-world applicability. By integrating shape-aware geometry with control theory, Dhal is helping to bridge the gap between theoretical robotics and practical deployment in tight, dynamic spaces. His research is particularly valuable for students interested in the intersection of marine robotics, geometric planning, and reactive control.
Research Focus
Key Achievements
Top Papers
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