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Sreekar Praneeth Marri
Junior Robotics & AI Researcher specializing in soft robotics and real-time ML control
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About
Early-career robotics engineer who has integrated LLM/NLP command interfaces (OpenAI/LLaMA) into ROS-controlled industrial manipulators and built data-driven controls for underwater soft robotic actuators. Combines hands-on fabrication (balloon actuator with embedded copper traces) with sensor debugging (IMU/Aurora) and simulation work in Gazebo, with practical exposure to edge deployment constraints on Jetson Nano and model quantization.
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Key Strengths
- ROS node development integrating LLM/NLP commands with robotic arm URDF
- Hands-on robotics simulation and kinematics/coordinate-to-command translation
- Underwater soft robotics actuator fabrication plus control development
- Sensor debugging/tuning for stability using IMUs and Aurora probes in underwater settings
- Awareness of edge deployment constraints; applied model quantization to address Jetson Nano memory limits
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Experience
Education
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5 publications
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Junior Robotics Researcher specializing in robot learning and manipulation
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