Coordinated Autonomous Systems

CAS
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Objectives

 

Issues Involved

  1. Seamless Communication between Robots and Drones

Challenge: Establishing reliable communication protocols that function efficiently across various environments (e.g., indoors, outdoors, and in the presence of interference).

Challenge: Synchronizing movement and actions between heterogeneous systems with differing capabilities (e.g., ground robots vs. aerial drones).

Challenge: Dealing with latency in communication networks that could disrupt coordination.

  1. Real-Time Data Sharing and Decision-Making

Challenge: Handling the large volume of sensor data generated by multiple autonomous agents in real time.

Challenge: Developing algorithms capable of fast, intelligent decision-making without requiring human intervention.

Challenge: Mitigating the risks of inconsistent or inaccurate data that may lead to errors in decision-making or execution.

  1. Scalability and Flexibility in Vertically Integrated Systems

Challenge: Designing a framework that can adapt to increasing numbers of robots and drones without degradation in performance.

Challenge: Ensuring compatibility and integration with diverse hardware and software systems used in different industries.

Challenge: Maintaining stability and control in complex, dynamic environments as the number of autonomous agents grows.

 

Team Lead

Dr. Venkatesh Deshmukh

venkatesh.deshmukh@nmims.edu

Team Members

Sunny Nanade

sunny.nanade@nmims.edu

Amey Raut

amey.raut@nmims.edu

Ainal Abdul Azeez

ainalabdul.azeez@nmims.edu