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Research Intern- Autonomous Perception & Navigation Systems

Research Intern- Autonomous Perception & Navigation Systems

BotLab DynamicsIndia
1 day ago
Job description

About the Role

We’re seeking a Research Intern passionate about applying AI and machine learning to autonomous UAV perception and navigation . You’ll explore and prototype learning-based algorithms that help drones see, localize, and move intelligently — even in dynamic or GPS-denied environments.

This internship provides hands-on exposure to simulation environments, sensor-fusion pipelines, and embedded AI systems.

Key Responsibilities :

  • Support research and prototyping of AI / ML algorithms for perception, tracking, localization and navigation.
  • Work on multi-sensor fusion combining visual, inertial, and positional data for improved environmental understanding.
  • Train and test computer vision or deep learning models for detection, motion estimation, and environmental understanding .
  • Use high-fidelity simulations with physics-based environments to generate datasets and test autonomy pipelines.
  • Assist in integrating perception and navigation modules into flight-control or hardware-in-the-loop setups.
  • Optimize real-time inference and video / data streaming pipelines for embedded AI systems.

Skills & Qualifications :

  • Strong foundation in deep learning, computer vision, and state estimation .
  • Understanding of object detection, tracking, SLAM, and sensor-fusion techniques .
  • Proficiency in Python and familiarity with PyTorch / TensorFlow and OpenCV .
  • Experience working on Linux environments and basic knowledge of C++ .
  • Familiarity with simulation tools (Gazebo, Webots, Isaac Sim) and autopilot frameworks (PX4, ArduPilot).
  • What you'll Gain :

  • End-to-end exposure to AI-driven autonomous navigation and perception systems .
  • Experience with simulation-driven development and testing of UAV autonomy algorithms.
  • Practical exposure to real-time AI model deployment on embedded hardware.
  • Opportunity to contribute to next-generation UAV guidance and autonomy research
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