Inderjit Chopra

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This paper presents the status and progress of the ongoing work directed towards the development and implementation of autonomous navigation algorithms for Micro Aerial Vehicles (MAV). The method proposed is founded on a mapping methodology, which is supported by a laser scan matching algorithm and virtual occupancy grid method. Navigation and path planning(More)
  • Mor Gilad, Inderjit Chopra, Omri Rand, Alfred Gessow, Rotorcraft Center
  • 2011
Ground effect on hovering rotor performance has been widely studied both experimentally and theoretically, yet most applications have focused on global thrust and power values. Motivated by the Sikorsky Human Powered Helicopter Challenge (HPH), an attempt to further study ground influence on a hovering rotor of highly elastic blades in extreme ground(More)
  • Chen Friedman, Inderjit Chopra, Alfred Gessow, Rotorcraft Center, Svetlana Potyagaylo, Omri Rand +1 other
  • 2011
A new solution for the SLAM problem is presented which makes use of a scan matching algorithm, and does not rely on bayesian filters. The virtual map is represented in the form of an occupancy grid, which stores laser scans based on the estimated position. The occupancy grid is scanned by means of ray casting to get a scan of the virtual world, called "(More)
A novel dual-differential four-bar flapping mechanism that can accurately emulate insect wing kinematics in all three degrees of freedom (translation, rotation and stroke plane deviation) is developed. The mechanism is specifically designed to be simple and scalable such that it can be utilized on an insect-based flapping wing micro air vehicle. Kinematic(More)
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