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)
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)
Optic flow and Wide Field Integration (WFI) have shown potential for application to autonomous navigation of Unmanned Air Vehicles (UAVs). In this study the application of these same methods to other tasks, namely station-keeping and wind rejection, is examined. Theory surrounding optic flow, WFI and wind gust modeling is examined to provide a theoretical(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)
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)
In recent years, there has been significant effort put into the design and use small, autonomous, multi-agent, aerial teams for a variety of military and commercial applications. In particular, small multi-rotor systems have been shown to be especially useful for carrying sensors as they have the ability to rapidly transit between locations as well as hover(More)
A source of accurate and reliable heading is vital for the navigation of autonomous systems such as micro-air vehicles (MAVs). It is desirous that a passive computationally efficient measure of heading is available even when magnetic heading is not. To confront this scenario, a biologically inspired methodology to determine heading based on atmospheric(More)
Flapping wings may have potential for success in the realm of micro air vehicles (MAVs). The goal of this thesis was to investigate a variety of flapping wing planforms, including nonplanar effects, to create an optimum planform for an MAV design. Test stand and model prototype experiments were conducted to measure the lift and propulsive thrust generated(More)
Currently a 50 gram micro quad rotor vehicle is being developed in collaboration with Daedalus Flight Systems. Optimization of the design at this scale requires a systematic study to be carried out to investigate the factors that affect the vehicles performance. Endurance of hovering vehicles at this scale is severely limited by the low efficiencies of(More)