Robotics and Drones
Browse and strategize across all 10 official problem statements for Robotics and Drones. Complete with verified datasets, tech stack blueprints, and jury defense playbooks.
Problem Statements List (10)
Match My TeamAI-Based Automated Urban Parcel Mapping and Cadastral Feature Extraction System using Drone lmagery
Manual parcel delineation and field ground-truthing in dense Indian urban settlements is exceptionally slow due to complex building footprints, narrow alleys, and irregular encroachments. Build an AI automated cadastral feature extraction platform that processes high-resolution drone orthophotos to segment building footprints, vectorize parcel property lines, and validate topological consistency.
An lntegrated GIS-based Digital Public lnfrastructure for Land Governance
Land administration in India is fragmented across 28+ states with completely disparate data schemas, record formats, and administrative workflows. Build 'Land Stack'—an open, modular Digital Public Infrastructure (DPI) for land governance that unifies georeferenced cadastral base layers (ULPIN), essential ownership rights (RoR/registration/master plans), and citizen services via standardized open APIs.
Development of Mobile (Quadruped)/Handheld Device/System for Real-Time Detection of Narcotics and Explosives across Indian Railways.
Drug trafficking and explosive threats across Indian Railways platforms, train coaches, and ballast tracks require rapid non-intrusive screening in GPS-denied, crowded environments. Build an AI-enabled autonomous quadruped robot and handheld inspection system equipped with thermal/optical cameras, LiDAR SLAM, and chemical spectrometry/sensor payloads to detect narcotics (heroin, cocaine, meth) and high explosives (RDX, TNT, IEDs).
Adaptive Path Planning and Collision Avoidance for Autonomous Vehicles on Unstructured Indian Roads
Autonomous vehicles navigating complex Indian traffic environments face dynamic obstacles (pedestrians, two-wheelers, stray animals) and erratic road geometry that static path planners cannot handle. Build an adaptive path planning and collision avoidance system in MATLAB/Simulink and ROS2 integrating Model Predictive Control (MPC), dynamic obstacle velocity tracking, and Frenet frame trajectory generation for safe autonomous navigation.
AI-Enabled Real-Time Digital Twin System for Health Monitoring, Fault Prediction and Mission Reliability Enhancement of Aero Piston Engines used in MALE UAVs.
Marine gas turbine propulsion engines on Indian Navy warships operate under brutal marine conditions (salt-air corrosion, thermal shock, variable combat load), where unexpected compressor fouling or turbine blade failure can disable a warship at sea. Build an AI-enabled real-time Digital Twin and predictive health monitoring system for marine gas turbines that ingests high-rate telemetry (spool speeds, exhaust gas temperatures, vibration FFT, fuel flow) to detect thermal degradation and predict component Remaining Useful Life (RUL).
Design and Develop a Modular Autonomous Mobile Robot (AMR) Platform for Smart Warehouse Automation
Modern manufacturing and warehouse facilities require flexible Autonomous Mobile Robots (AMRs) for material handling, but commercial robots feature rigid chassis designs that cannot adapt to changing payload types (pallet lifters, conveyor rollers, robotic arm integration) or navigate dynamic industrial aisles. Build a Modular Autonomous Mobile Robot (AMR) Platform and digital engineering twin designed in Autodesk Fusion 360 combining modular snap-on payload attachments, omnidirectional Mecanum drive kinematics, LiDAR SLAM, and ROS2 fleet management.
Edge-AI Based Distributed Fleet Coordination for Autonomous Mobile Robots (AMRs) in Smart Warehouses
Autonomous Mobile Robots (AMRs) operating in dynamic industrial warehouses and military logistics depots suffer from collision deadlocks and network latency bottlenecks when coordinated by centralized servers. Build an Edge-AI Based Distributed Fleet Coordination and Decentralized Multi-Agent Path Finding (MAPF) platform for Bharat Electronics Limited (BEL) that uses peer-to-peer V2X communication, spatial reservation grids, and distributed consensus to coordinate 50+ AMRs in GPS-denied environments with zero central point of failure.
Vision Based Autonomous Navigation for Unmanned Ground Vehicle for Outdoor environment
Unmanned Ground Vehicles (UGVs) deployed in military border reconnaissance and tactical off-road missions face severe GPS-denial, electronic jamming, and unpredictable rough terrain (boulders, ditches, tall grass) where standard wheel-odometry fails due to tire slip. Build a Vision-Based Autonomous Navigation and Visual-Inertial SLAM System for UGVs for Bharat Electronics Limited (BEL) combining stereo visual odometry, semantic terrain traversability estimation, and dynamic obstacle avoidance in GPS-denied tactical environments.
Single-Pass Drone Video to Accurate 3D Model Generation System
Tactical reconnaissance drones deployed by NTRO capture single-pass monocular video over target areas, but classical photogrammetry tools (like Pix4D/Metashape) require hours of multi-pass flight overlap and heavy offline compute to generate 3D elevation models. Build a Single-Pass Drone Video to 3D Photorealistic Mesh Reconstruction Platform for NTRO that uses monocular depth estimation, Neural Radiance Fields (NeRF) / 3D Gaussian Splatting, and structure-from-motion to generate georeferenced 3D digital twins in minutes.
A deployable AI-powered autonomous drone that aids search-and-rescue operations by detecting people and hazards, thereby improving responder safety and reducing victim discovery time.
Disaster search-and-rescue operations during earthquakes, landslides, and collapsed building incidents in India suffer from slow human exploration in hazardous rubble and GPS-denied indoor environments where cellular networks are destroyed. Build an Autonomous Edge-AI Search-and-Rescue Drone powered by the Qualcomm Snapdragon Flight / RB5 platform that uses on-device computer vision, thermal infrared human detection, visual SLAM, and acoustic survivor cry localization to locate trapped victims in real time.