Aniket Murarka
Papers
9
Total Citations
195
H-Index
7
About
Aniket Murarka is a robotics researcher whose work centers on mobile robot navigation, computer vision, and autonomous systems operating in complex real-world environments. His most significant contributions lie in developing algorithms that enable robots to perceive and safely navigate hazardous terrain, particularly in urban settings. Murarka's pioneering research on detecting drop-offs, inclines, and obstacles using stereo vision and motion cues has proven especially influential, with his 2008 paper on the topic accumulating 48 citations and his complementary stereo vision mapping algorithm earning 33 more. His 2007 work on integrating multiple spatial representations for robot mapping, navigation, and human communication — cited 39 times — reflects his broader interest in building robots that reason richly about their environment and interact naturally with people. Murarka also contributed meaningfully to intelligent wheelchair robotics, combining laser rangefinders and vision to construct local safety maps for mobility assistance, and to probabilistic localization techniques using adaptive particle filters. His research extended into extreme environments as well, with field experiments involving the ENDURANCE autonomous underwater vehicle beneath Antarctic ice-covered lakes. Across these diverse projects, Murarka's work demonstrates a consistent commitment to making autonomous robots safer, smarter, and more capable of operating reliably alongside humans in challenging conditions.
Research Focus
Key Achievements
Top Papers
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- 4Building Local Safety Maps for a Wheelchair Robot using Vision and Lasers28 citations · 2006
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- 7Using CAD drawings for robot navigation8 citations · 2002
- 8Building safety maps using vision for safe local mobile robot navigation6 citations · 2009
- 9Towards a Safe, Low-Cost, Intelligent Wheelchair6 citations · 2009