http://repository.iiitd.edu.in/xmlui/handle/123456789/1808 Year-2025 Sun, 20 Sep 2026 14:04:50 GMT 2026-09-20T14:04:50Z http://repository.iiitd.edu.in/xmlui/handle/123456789/2161 STEM sparkle Tiwari, Hariom; Kumar, Gautam; Grover, Anuj (Advisor) This report outlines the conceptualization, development, and field execution of STEM Sparkle, an edutainment startup initiative aimed at nurturing scientific temperament and curiosity among young learners aged 5 to 14. The project is being pursued as part of our B.Tech Project (BTP) under the Entrepreneurship track. STEM Sparkle offers live interactive science shows, DIY activity workshops, and engaging science stations through birthday parties, school collaborations, and public events such as those in malls and residential societies. In our pilot execution at IIIT Delhi's summer camp, we operated under the name "Mystery Lab," which received overwhelming appreciation. The event demonstrated that children resonate more with playful, themed identities. This report comprehensively documents the journey from ideation to pilot implementation. It includes planning, brand strategy, operational logistics, content development, stakeholder engagement, and evaluation metrics. The vision going forward is to scale the startup through franchise partnerships, online DIY kits, and curriculum-integrated modules for schools. Sun, 20 Jul 2025 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/2161 2025-07-20T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/2136 Autonomous rendezvous/docking in space Kumar, Anish; Rastogi, Arush; Biswas, Sanat (Advisor) The proposed project involves design and development of a ground-based system for simulating spacecraft dynamics and autonomous docking maneuvres. The proposed design has a cable-driven parallel robot that acts as a versatile testbed. This system involves a rigid cubic frame with eight motorized actuators which allow precise control of a suspended object (the "end-effector") using tensioned cables. The proposed design is aimed to achieve six degrees of freedom (6-DOF) where three are for movement in space and the other three are for rotation providing full spatial manipulation which effectively simulates a microgravity environment. An overhead crane also helps with motor and cable setup, improving load distribution and flexibility. The proposed idea also involves a simulation framework to test autonomous space docking. This framework considers both how objects move in orbit and how they orient themselves. The proposed idea aims to implement image-based visual servoing (IBVS), which uses visual cues from simulated images to guide and navigate the docking process. The control methods will be evaluated under realistic disturbances, and numerical experiments to show that the proposed approach is optimal, successfully reaching the target rendezvous point even with noisy measurements and dynamic uncertainties. The proposed development process involves transitioning these control algorithms to hardware-in-the-loop testing using our custom-built cable-driven robot and validating them in a high-fidelity Unreal Engine environment. This proposed idea approach offers a powerful tool for aerospace robotics, control systems. Mon, 22 Sep 2025 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/2136 2025-09-22T00:00:00Z 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; Verma, Vipul; Ali, Wasif; 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