Precision Robotics Specialist

4 days ago


Kannur, Kerala, India beBeeLaser Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Robotics Engineer - Precision Laser Weeding

We're developing innovative AI-powered laser weeding implements, robotic systems that help farmers remove weeds with precision and without chemicals. These cutting-edge technologies aim to increase crop yields while reducing environmental impact.

  • System Design: Collaborate with our team to design and implement high-precision gimbal & motor control systems for real-time laser targeting.
  • Algorithm Development: Develop robust BLDC motor control algorithms (microsecond precision) to ensure seamless system operation.
  • Integration: Work closely with the AI & perception team to connect weed detection with precision actuation, achieving optimal results in real-world conditions.
  • Sensor Fusion: Build sensor fusion pipelines combining IMU, GNSS, RTK, odometry, and custom sensors to provide accurate and reliable data.
  • Testing and Validation: Test and tune control systems in real-world field conditions (dust, heat, vibrations, uneven terrain) to guarantee performance and safety.
  • Scalability: Scale your work to multi-laser, multi-unit robotic platforms for agriculture, pushing the boundaries of what's possible.
  • Reliability and Safety: Implement safety mechanisms, redundancy, and fail-safe protocols for field deployment, ensuring the well-being of users and the environment.

Requirements

  • Experience with BLDC motor control and precision positioning systems.
  • Strong knowledge of control theory (PID, adaptive control, state-space).
  • Hands-on programming in C++/Python on embedded systems.
  • Experience with ROS/ROS2 and communication protocols (CAN, Ethernet).
  • Comfort working at the intersection of hardware + software + field testing.

Qualifications

  • Preferred experience in agricultural robotics, precision agriculture, or outdoor robotics.
  • Knowledge of laser systems and safety standards.
  • Exposure to machine learning integration in control systems.
  • Experience with hardware-in-the-loop testing or ruggedized system design.


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