Browsing by Advisor "Sundaram, Suresh"
Now showing items 1-8 of 8
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Design and Development of Novel Quadcopters for Reliable Operations in Cluttered Environments
This thesis presents innovative designs and control strategies for enhancing the performance and reliability of quadcopters, particularly in demanding and cluttered environments. The primary contributions include the ... -
Development of Generalizable Spiking Neural Network-Based Learning Frameworks For Solving Perimeter Defense Problem
Spiking Neural Networks (SNNs) are third-generation neural networks that can process information in a more biologically realistic way compared to other neural networks such as sigmoidal networks. They process the information ... -
Development of Optimal Distributed Resource Utilisation Approaches Under Connectivity Constraints for Energy Internet
The global transition to sustainable power generation has driven a rapid increase in Distributed Energy Resources (DERs), especially from renewable sources. When integrated with energy storage, these localised generation ... -
Development of Perception Systems to Enhance Robustness for Robotic Applications
Robotic systems are composed of interconnected modules such as planning, control, and perception, where inaccuracies in the perception module can trigger cascading failures throughout the entire pipeline. To achieve reliable ... -
Development of Scalable UAV Swarm-based Cooperative Search and Mitigation Approaches for Wildfire Management
Climate change has significantly exacerbated wildfire seasons, increasing their frequency, duration, and scale of destruction. Globally, wildfires destroy approximately 400 million hectares of land annually, resulting in ... -
Development of Spatio-Temporal Multi-Task Assignment Approaches for Perimeter Defense Problem
Rapidly evolving technologies in the autonomous operation of Uninhabited Aerial Vehicles (UAVs) and associated developments in low-cost sensors have created significant interest among researchers in using them for various ... -
Predictive Motion Planning for Safe and Efficient Autonomous Driving
The advent of Autonomous Vehicles (AVs) has the potential to revolutionize transportation systems, promising significant improvements in safety, efficiency, and passenger comforts. Safety, the cornerstone of AVs, demands ... -
Study of Human Safety-centric Strategies for Human-Robot Coexistence
With the increasing integration of robots into various domains and their coexistence with humans, ensuring human safety has become a critical concern. This thesis highlights the challenges associated with human safety in ...