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Raj Kodithyala
Intern Electrical Engineer and Robotics Researcher specializing in automation and embedded systems
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About
Robotics researcher/team lead from ASU’s Robotics and Intelligent Systems Lab who rebuilt a failing soft-robotics test bench into a modular 8-Arduino, ROS 2/Python-controlled data-collection system, doubling sampling performance and dramatically reducing downtime. Currently doing thesis work on physics-informed neural network (PIRNN/RNN) modeling of a pneumatically actuated soft robotic arm using experimentally collected trajectory/pressure data.
Experience
Education
Key Strengths
- Redesigned unreliable robotics test bench into modular, maintainable system (same-day recovery vs weeks)
- Built 8-Arduino parallel control architecture for soft robotic arm with centralized laptop control
- Improved data collection frequency ~100% over prior system
- Integrated heterogeneous sensor stack (cameras, encoders, pressure sensors) with ROS 2 + Python logging pipeline
- Led project execution (delegation, deadlines) while owning software and electronics design
- Systematic post-trial data validation and noise mitigation (e.g., low-pass filter circuits)
- Thesis work applying physics-informed ML (PINN/PIRNN with RNNs) to model soft robot behavior from experimental data
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