http://repository.iiitd.edu.in/xmlui/handle/123456789/447 Fri, 24 Apr 2026 16:51:37 GMT 2026-04-24T16:51:37Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1885 Development of open source multicore system Ayyagari, Krishna; Deb, Sujay (Advisor) This project aims to create an open-source, cache-coherent multicore system that uses the combined processing power of multiple cores arranged in a network-on-chip (NoC) architecture. This semester, the project focused on understanding and implementing the basics of NoC architectures. It started with a detailed study of NoC concepts, including routing techniques and their importance in multicore systems. A simple 2x2 NoC model was developed to test basic functionality and identify challenges related to scaling and performance. In parallel, work was done on the Ibex core, an open-source RISC-V processor developed by the lowRISC community. Functional codes were successfully run on the core, providing insights into its design and capabilities. The study also covered cache coherence, focusing on its role in maintaining data consistency across cores, laying the groundwork for tackling these challenges in future work. Sun, 01 Dec 2024 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1885 2024-12-01T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1879 Exploring XR-based tangible interactions Indora, Rohan; Srivastava, Anmol (Advisor); Johry, Aakash (Advisor); Eden, Grace (Advisor) This project presents a novel tangible user interface that merges the physical act of sculpting with the creative power of generative AI. By leveraging an Augmented Reality (AR) Sandbox as a direct, physical input for a real-time diffusion model, the system allows users to shape landscapes in sand and witness them instantly transform into vivid, AI-generated biomes. This work explores the potential of tangible interaction to provide a more intuitive, expressive, and accessible means of controlling complex AI systems, bridging the gap between the digital and physical realms. The prototype successfully demonstrates a functional pipeline for real-time visual synthesis, validating the core concept of using tangible interaction to guide generative processes. This exploration aims to revolutionize how users interact with and visualize data, enabling rapid prototyping, interactive manipulation, and enhanced creative expression. Mon, 28 Jul 2025 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1879 2025-07-28T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1878 Generalized-rank action selection in multi-robot belief space planning with limited connectivity Shandilya, Bhanu; Kundu, Tanmoy (Advisor) Effective coordination among autonomous robots in dynamic, communication-constrained environ- ments remains a significant challenge in multi-robot systems. This thesis addresses such coordination problems in real-world scenarios, such as search-and-rescue missions, where communication failures and inconsistent beliefs hinder effective collaboration. We build upon the decentralized algorithm VerifyAC[1], which verifies consistency in multi-robot coordination and triggers communication only when required. However, VerifyAC is restricted to rank-1 action preferences, which incurs both high communication and computational costs. To address this, we previously introduced VerifyAC-Gen[2], a decentralized variant that generalizes rank selection via backward reasoning, pruning, and heuristic-based ambiguity resolution. While VerifyAC-Gen effectively reduces unnecessary communication, its extension to multiple agents introduces scalability and complexity issues. In this thesis, we present two extended strategies to scale our framework to environments involving N > 2 robots: a decentralized Min-Heap Tree approach and a centralized cluster registry protocol. The decentralized Min-Heap Tree method reduces communication complexity by assigning non- leader robots to clusters based on KL divergence from entropy-minimized leaders. Communication is hierarchically structured, significantly reducing overhead while preserving coordination integrity. Complementarily, the centralized registry approach maintains a global cluster-to-robot mapping, enabling dynamic reconfiguration upon leader failure or agent arrival. It utilizes entropy-based leader selection, KL-divergence-based clustering, and min-heap structures to ensure optimal com- munication and reallocation of robots across clusters. Together, these strategies extend the scalability, robustness, and efficiency of our coordination framework under dynamic and uncertain environments. Ongoing experimental validation focuses on communication reduction, computational efficiency, and adaptability in real-time applications. Sun, 20 Jul 2025 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1878 2025-07-20T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1877 Matlab CST interfacing for metasurface unit cell and coding diffuse metasurface design Singh, Angad; Kosta, Pragya (Advisor); Kundu, Debidas (Advisor) This thesis explores the design and simulation of a coding diffusion metasurface to achieve wideband radar cross-section (RCS) reduction using MATLAB–CST interfacing. Inspired by the principle of phase cancellation through binary coding, the work focuses on the development of two distinct unit cells with a reflection phase difference of approximately 180° ± 37°, constructed on a dielectric substrate. These unit cells form the basis of an 8×8 metasurface array governed by a randomly generated binary matrix. The methodology involves automating unit cell modeling in CST Microwave Studio through MAT- LAB scripting and integrating the geometry into a single simulation environment. The results demonstrate successful phase-based scattering diffusion, with characteristic multi-lobe patterns confirming RCS suppression across a wide frequency band. This work contributes to the field of electromagnetic stealth and programmable metasurfaces by offering a complete modeling-to- simulation workflow capable of generating custom-coded designs with reduced specular reflections. Wed, 23 Jul 2025 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1877 2025-07-23T00:00:00Z