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Real Space Robotics & AI Projects Built for Exploration

Explore hands-on robotics, Mars rover, satellite, AI, and automation projects developed by Agnirath students through practical engineering learning.

3 Flagship
Autonomous Platforms
100% Real
Hardware Prototyping
AI & SLAM
Autonomous Navigation
Flight Ready
CubeSat Architecture
Flagship Mars Rover Operational Prototype
SYS-ID: AGN-MAGANLAL-V1
MAGANLAL Autonomous Mars Rover Prototype
MAGANLAL Mars Rover System Field Telemetry Active

Equipped with real-time obstacle avoidance, methane detection chamber, and solar autonomous power distribution.

MAGANLAL

Mars Autonomous Ground Analyser with Navigation and Life-Assessment Logic

MAGANLAL is an autonomous Mars rover prototype developed by Agnirath to simulate real-world planetary exploration and intelligent terrain analysis.

Key Capabilities of MAGANLAL

✔ Autonomous obstacle detection & navigation
✔ Methane gas detection for habitability
✔ Surface image capture & terrain monitoring
✔ Solar-powered energy demonstration
✔ Smart environmental sensing
✔ Mars-inspired robotics & AI integration
Why MAGANLAL Matters

MAGANLAL represents a step toward affordable and scalable Mars rover technology for future planetary missions. By combining autonomous navigation, environmental sensing, methane detection, and intelligent robotics, the rover demonstrates how future space systems may explore Mars without continuous human control. The project also provides students with practical experience in space robotics, artificial intelligence, embedded systems, and autonomous engineering.

Explore Training Program
Scientific CubeSat System Modular Payload Architecture
SYS-ID: AGN-FELUDA-SAT
FELUDA CubeSat Satellite System
FELUDA CubeSat Architecture Upper Atmospheric Research Configuration

Engineered for meteorological sensing, cosmic ray measurement, and solar-power management.

FELUDA

Fast Experimental Launch Unit for Data Analysis

FELUDA is a fast deployable CubeSat developed for meteorological and astronomical research missions.

FELUDA Can Be Configured For:

✔ Cloud composition measurement
✔ Ozone layer monitoring
✔ Cosmic ray detection and measurement
✔ Atmospheric gas sensing
✔ Temperature & environmental monitoring
✔ Astronomical data collection
Why FELUDA Matters

FELUDA represents a step toward affordable, scalable, and mission-flexible satellite technology. By enabling customizable scientific payloads, the CubeSat supports real-world space research, atmospheric monitoring, and educational aerospace innovation.

Satellite Curriculum
Hybrid Drone-Rover Platform Air & Ground Mobility
SYS-ID: AGN-JATAYU-HYB
JATAYU Drone Rover Hybrid Robotic Platform
JATAYU Dual-Domain Hybrid Multi-Mission Architecture

Combines high-thrust aerial quad-lift with high-traction terrain rovers for defence recon and disaster recovery.

JATAYU

Joint Autonomous Terrain and Aerial Yawing Unit

JATAYU is an advanced drone-rover hybrid robotic platform designed for defence operations, disaster response, and autonomous exploration missions.

Key Capabilities of JATAYU

✔ Aerial surveillance and reconnaissance
✔ Ground-based terrain navigation
✔ Autonomous obstacle avoidance
✔ Defence mission support & monitoring
✔ Disaster rescue & emergency response
✔ Hybrid air-to-ground capability
Why JATAYU Matters

JATAYU represents a next-generation hybrid robotics platform designed for multi-environment operations. By integrating aerial mobility with terrain-based autonomy, the system enhances mission flexibility, situational awareness, and operational efficiency in both defence and disaster relief applications.

Robotics Programs
Comprehensive Curriculum

Space Robotics & AI Training Program for Students

Hands-on practical tracks designed to build actual flight and robotics hardware.

Robotics Track

Build obstacle-avoiding robots using sensors and control systems.

Duration: 4 Weeks
Level: Beginner to Intermediate
Mode: Offline / Hybrid
Suitable For: School & College Students
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Satellite Track

Learn communication, solar panels, and satellite control systems.

Duration: 4 Weeks
Level: Beginner to Intermediate
Mode: Offline / Hybrid
Suitable For: School & College Students
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AI Autonomy Track

Create AI-based systems for decision making and robotics control.

Duration: 4 Weeks
Level: Beginner to Intermediate
Mode: Offline / Hybrid
Suitable For: School & College Students
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Technical Clarifications

Frequently Asked Questions (FAQ)

Everything you need to know about our Space Robotics & AI Projects.

Ready to Build Next-Generation Aerospace Systems?

Join our hands-on engineering programs or collaborate with Agnirath on mission-grade robotics and satellite initiatives.

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