Student Innovation-There is a need to design drones and robots that can solve some of the pressing challenges of India such as handling medical emergencies, search and rescue operations, etc.
“This is an open student innovation challenge to design specialized drones and ground robots capable of tackling critical Indian crises like medical emergencies, disaster zone search and rescue, and hazardous material handling. Teams need to build functional hardware-software prototypes that can operate autonomously or semi-autonomously in unstructured, real-world Indian environments.”
Deconstructed Problem Blueprint
WHAT TO BUILD?
A multi-modal robotics and drone platform equipped with onboard edge computing, specialized payload delivery mechanisms (e.g., medical drop boxes), and a central command-and-control software dashboard for live mission monitoring.
WHO IS IT FOR?
Primary beneficiaries include disaster-struck citizens and patients in remote or inaccessible regions. Users include state disaster management authorities (NDRF, SDRF), local police, emergency medical responders, and municipal corporations.
WHY DOES IT EXIST?
Traditional rescue and medical delivery operations are severely bottlenecked by rugged terrains, traffic congestion, narrow lanes, and lack of real-time visibility during disasters, leading to delayed medical intervention and prolonged rescue times.
INPUT → PROCESS → OUTPUT ARCHITECTURE PIPELINE
Live camera feeds, LiDAR/depth sensor data, GPS coordinates, IMU telemetry, environmental sensor readings (gas/temperature), and manual operator commands.
Edge AI processing for obstacle avoidance, target detection (human/vehicle/hazard) using lightweight object detection models, path planning via SLAM algorithms, and telemetry streaming over cellular/RF links to a central ground station.
Real-time HD video feed, dynamic hazard/survivor location map, automated flight/path telemetry logs, autonomous payload release actuation, and high-priority alert notifications on the command dashboard.
CONSTRAINTS
- Must operate in low-network or zero-internet connectivity zones (offline-first architecture).
- Hardware weight and payload capacity limitations for drone flight endurance.
- Resilience against dust, water splashes, and variable lighting conditions (IP rating considerations).
- Strict adherence to DGCA micro/small drone operation guidelines and frequency bands.
JURY METRICS
- Autonomous navigation and obstacle avoidance success rate in simulated cluttered environments.
- Inference latency of onboard edge AI models (FPS on edge hardware like Raspberry Pi / Jetson Nano).
- Payload drop accuracy (distance from target coordinates).
- Command dashboard responsiveness and UI/UX intuitiveness for non-technical emergency operators.
CORE BOTTLENECK
Achieving reliable, real-time autonomous obstacle avoidance and path replanning on low-power, lightweight edge hardware without relying on continuous cloud computing.
Why You Should Choose This PS (Pros)
- Open student innovation theme allows absolute freedom to define the exact use-case (e.g., snakebite medicine delivery vs. earthquake rubble search).
- High visual 'wow factor' during the grand finale live demonstration if hardware or simulation runs seamlessly.
- Direct alignment with national initiatives like Make in India, Drone Shakti, and Atmanirbhar Bharat.
Challenges & Risks to Watch (Cons)
- Open-ended problem statements can cause scope creep and lack of focus if not narrowed down to one concrete problem.
- Hardware prototyping carries inherent risks of component failure, wiring issues, or calibration drift right before evaluation.
- Crowded domain if multiple teams choose drone delivery without distinct differentiation.
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Student Innovation-There is a need to design drones and robots that can solve some of the pressing challenges of India such as handling medical emergencies, search and rescue operations, etc.