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Space Tech and Advanced Robotics: Engineering for Deep Space Exploration

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Delivery Mode
Virtual / Online
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Level
Moderate
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Duration
3 Days (60-90 Minutes each Day)
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Certificate
Mentor Based
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Language
English
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Rating
4 Stars
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About Workshop

The "Space Tech and Advanced Robotics: Engineering for Deep Space Exploration" workshop dives into the fascinating world of space technology and robotics. In this hands-on, expert-led session, participants will explore the engineering principles and technologies shaping the future of space exploration, from autonomous robotic systems to advanced spacecraft design. The workshop is tailored for those eager to understand the complexities of building and operating technology in the most extreme environments known to humanityβ€”deep space.
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Aim

To equip participants with the latest insights and hands-on skills in space technology and robotics, preparing them for cutting-edge engineering challenges in deep space exploration.
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What Participants Will Learn

  • Understand the fundamental principles of space technology and robotics as they apply to deep space missions.
  • Explore key advancements in autonomous systems, spacecraft engineering, and robotic exploration platforms.
  • Develop practical skills through hands-on exercises using tools and platforms currently utilized in space engineering projects.
  • Analyze real-world case studies and learn from the successes and challenges faced by space agencies like NASA, ESA, and private companies.
  • Empower participants with the knowledge to contribute to the future of space exploration, whether in academia, industry, or space agencies.
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Structure

πŸ“… Day 1: Foundations of Space Mission Engineering and Orbital Design

  • Importance of space technology in deep-space exploration
  • Overview of ISRO missions: Mangalyaan, Chandrayaan-3, Aditya-L1, Gaganyaan
  • Basics of orbital mechanics, launch windows, mission trajectory planning
  • Understanding propulsion and navigation through LVM3 and GSLV cycles
  • Satellite power systems, solar tracking, communication fundamentals
  • Cost-effective mission engineering: Mars Orbiter Mission case study

πŸ› οΈ Hands-on:

  • Hands-on 1: MOM Trajectory Simulation using Google Colab and Python-Skyfield
  • Hands-on 2: Satellite Solar-Tracking Logic using Wokwi
🧰 Tools Covered: Google Colab, Python-Skyfield, Wokwi

πŸ“… Day 2: Space Robotics, Soft Landing and Lunar Surface Navigation

  • Role of robotics in lunar and planetary exploration
  • Chandrayaan-3 soft landing architecture and autonomous descent logic
  • Pragyan Rover mobility, control systems, navigation constraints
  • Hazard detection and avoidance for terrain navigation
  • Computer vision for lunar surface mapping and terrain interpretation
  • Introduction to rover-based mapping and navigation

πŸ› οΈ Hands-on:

  • Hands-on 1: Pragyan Rover Hazard Avoidance Simulation using Wokwi
  • Hands-on 2: Lunar Surface Exploration using NASA Eyes / ISRO VEDAS
🧰 Tools Covered: Wokwi, NASA Eyes, ISRO VEDAS

πŸ“… Day 3: AI Telemetry, Solar Monitoring and Future Space Mission Applications

  • Introduction to Gaganyaan and human spaceflight systems
  • Human-machine interface for crewed spacecraft in Low Earth Orbit
  • Telemetry monitoring for crew health, life-support systems
  • Aditya-L1 solar monitoring and solar observation fundamentals
  • Geospatial intelligence for space and Earth-observation applications
  • Future frontiers: Shukrayaan, lunar bases, autonomous robots, AI-powered control

πŸ› οΈ Hands-on:

  • Hands-on 1: Solar Monitoring using Google Colab
  • Hands-on 2: Earth Observation using Bhuvan Geo-Platform
🧰 Tools Covered: Google Colab, Bhuvan Geo-Platform

Important Dates

Registration Ends

04: 00 PM

Workshop Dates

2026-05-20
5 : 30 PM
5 : 30 PM
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What You Will Gain

Sample Certificate
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Outcomes

  • Master key technologies in space tech and robotics for deep space exploration.
  • Gain hands-on experience with robotics and spacecraft design tools.
  • Understand real-world challenges in autonomous systems and space missions.
  • Prepare for careers in space engineering, academia, and industry.
  • Earn an e-certificate acknowledging your expertise.
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Who Should Attend

  • Students: Engineering, robotics, aerospace, or related fields.
  • Ph.D. Scholars/Researchers: Specializing in space tech, robotics, AI, or related fields.
  • Academicians/Faculty: Professors in engineering, space science, or robotics.
  • Industry Professionals: Engineers and roboticists in aerospace or related industries.
  • Prerequisites: Basic knowledge of engineering, robotics, and space tech recommended.

Progyadipta Naskar

Department of AI

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