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Vehicle design,  Multi-agent system, Adaptive control,  Vision-based interception, Co-operative  guidance,  Critical resource allocation

[1] Interception of  maneuvering  aerial target using monocular  vision

[2] Design and  development  of  novel non-conventionl  biplane micro air vehicle having  maximum  dimension of 150  mm

[3] Development  of  distributed  guidance strategy  for a cooperative  reusable dual interceptor system 

[4] Microprocessor-based autopilot design for the micro air vehicle

[5]  Development of  software architecture  for  complex multi-agent mission

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 [6] Agent  based multi- robot collaboration   for unknown area   exploration

[7] Arrival time consensus  for hybrid  swarm vehicles

[8] Composite adaptive       control using output   feedback 

[9] Design and implementation of Closed-loop Simple Adaptive Control (CL-SAC) on micro air vehicle 

 [10] Splitting and merging of  multi-agent systems

[11] Target tracking using monocular vision in the multi-agent scenario in an outdoor environment. 

[12] Autonomous pick and place of objects by drones using pure pursuit guidance and  information from monocular camera

[13] Estimation of  linear velocity and Angular rates of MAV using monocular camera

[16] Analysis of propeller flow on dynamics of biplane micro air vehicle

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[14] Obstacle detection  through collision          cone  using the        information of   monocular camera

[15] Sensor data fusion using Modified Cascade Kalman Filter (MCKF)
 

[17] Critical  medical resource allocation  during COVID- 19 pandemic through  adaptive short-term prediction. 

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[18] Design of non-pharmaceutical intervention plan  for the management of COVID-19  considering medical and economic impact

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[19 Decision support systems  (DSS)                for hierarchical allocation of  resources and tasks for disaster management

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[20] Development of  impact angle constrained guidance in 3D

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