Papers
9
Total Citations
69
H-Index
5
About
Ravi Kaushik is a robotics researcher whose work bridges bio-inspired sensory systems and autonomous mapping in complex environments. His primary research areas include bio-inspired vestibular reflexes for robot stabilization, multi-robot 3D mapping, and real-time pose estimation. Kaushik’s most significant contributions involve implementing artificial vestibulo-ocular and vestibulo-collic reflexes in quadrupedal and humanoid robots, drawing directly from primate locomotion studies to stabilize head and eye movements during motion. His 2007 paper on the bio-inspired vestibulo-ocular reflex in a quadrupedal robot (14 citations) and his 2009 work on learning to stabilize a robot’s head with an artificial vestibular system (13 citations) have been foundational for researchers working on sensor stabilization in legged robots. Kaushik also made notable advances in heterogeneous robot teams, developing techniques for 3D laser scan registration using ground and wall-climbing robots to construct complete indoor maps—including ceilings and furniture tops. His work on accelerated patch-based planar clustering for noisy range images (13 citations) and real-time pose estimation with RGB-D cameras (9 citations) further demonstrates his impact on practical robot perception. With over 69 total citations across his most-cited works, Kaushik’s research continues to influence both bio-inspired control and autonomous mapping in robotics.
Research Focus
Key Achievements
Top Papers
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- 4Real-time pose estimation with RGB-D camera9 citations · 2012
- 53D Laser scan registration of dual-robot system using vision9 citations · 2009
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- 7Polygon-based laser scan registration by heterogeneous robots3 citations · 2010
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- 93D map construction using heterogeneous robots2 citations · 2008