Engineer– Embodied AI Lab Automation: Vision-Guided Real Time Robotic Manipulation
Tasks
- Design closed loop perception and control pipelines using visual feedback
- Develop vision guided robotic manipulation methods for crystal harvesting
- Document methods and results for reports publications and presentations
- Evaluate system robustness using perception uncertainty and failure mode analysis
- Implement vision based servoing for precise real time positioning
- Integrate perception outputs with motion planning and execution using ROS2 and MoveIt2
- Perform system calibration hand eye calibration and camera calibration
- Test tune and evaluate automated crystal harvesting platform
Perks/Benefits
Skills/Tech-stack
C plus plus | Camera Calibration | Computer Vision | Coordinate Frame Registration | Coordinate transformations | Hand-eye calibration | Machine Learning | Motion Planning | MoveIt2 | Performance Tuning | Python | ROS2 | Real Time | Real-time system | Real-time system debugging | Robotic Control | Robotics Kinematics | Sensor fusion | State Estimation | System Debugging | Trajectory Generation | Visual servoing
Education
Roles
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