Projects

 
     Hybrid A* Path Planner 
    
        This is a search-based motion planner for non-holonomic vehicles navigating in unconstrained environments integrated with Gazebo ROS framework and tested successfully on AGV, IIT KGP’s autonomous car.
    
    
    
 

 
     Island Search Algorithm 
    
    This is a novel heuristic search algorithm that reduces number of state expansion given the knowledge of "Island" nodes. 
    
    
    
 


 
    Eklavya 6.0 
    
    My team AGV IIT KGP participated in Auto-Nav Challenge at  The 27th Annual Intelligent Ground Vehicle Competition held at Oakland University in Rochester, Michigan and finished runners up. 
    
    
    
 
Publications
 
   
    - Real-time Lane Detection, Fitting and Navigation for Unstructured Environments  in International Conference of Image, Video Processing and Artificial Intelligence, China(2019) : S Shrivastava, et al. 
-  A Prototype of an Intelligent Ground Vehicle for Constrained Environment: Design and Development in IEEE International Conference on Control and Robots, South Korea(2019) : S Shrivastava, et al.