Hi, I'm Pranay Palem
Robotics Engineer & AI Researcher
Robotics Engineer with solid experience in hardware-software integration and real-time robotic solutions. Expertise includes simulation and deployment with ROS 2 and Isaac Sim alongside hands-on roles in embedded systems and PLC automation.
Expertise Areas
Specialized knowledge across multiple domains of robotics and artificial intelligence
AI/ML
Deep Learning, Computer Vision, NLP, and Machine Learning projects
Robotics
Robotic systems, control, kinematics, and autonomous navigation
Simulation
Physics simulation, digital twins, and virtual environments
Industrial Automation
PLC programming, SCADA systems, and industrial control
Featured Projects
A selection of my recent work in robotics, AI, and automation
Artificial Potential Field for Multi-Robot Systems
Multi-robot firefighting system using Artificial Potential Field controllers for autonomous navigation and coordination
Cleanroom Robotics and Industrial Manufacturing
Precision motion planning systems for SCARA robots in sterile cleanroom environments
Design Optimization of a Foldable Robot in MuJoCo
Biomimetic foldable robot system with four-bar mechanism design for adaptive quadrupedal/bipedal locomotion
Mammo-CLIP Vision-Language Model
CLIP-style contrastive learning foundation model specialized for mammography analysis and radiology report alignment
MuJoCo Parameter Identification System
Physics simulation and optimization system for material property identification through computational modeling
Perception Pipeline with SDG & Domain Randomization
End-to-end robotic perception pipeline with LiDAR SLAM, RRT exploration, and YOLOv8 object detection
Quaternion-based Kinematic Modeling and Analysis
Comprehensive robotic kinematics analysis framework using quaternion mathematics for enhanced 3D rotational accuracy
Reinforcement Learning: PPO vs TRPO Comparison
Comprehensive comparative analysis of Proximal Policy Optimization and Trust Region Policy Optimization algorithms
SimCLR Chest X-ray Analysis
Self-supervised learning framework for chest X-ray analysis achieving 98.5% clustering accuracy without labeled data
Technical Skills
Technologies and tools I work with across different domains
AI/ML
Robotics
Simulation
Industrial Automation
General
Experience & Education
My professional journey and academic background
Deep Learning Research Assistant – Medical AI
Arizona State University • Tempe, United States
Leading research in medical AI with focus on Vision-Language Models for clinical applications
- Engineered Mammo-CLIP Vision-Language Model for mammogram analysis
- Implemented explainable AI methods for clinical transparency
- Applied self-supervised learning achieving 98.5% clustering accuracy
Machine Learning Assistant – Robotics
Arizona State University • Tempe, United States
Developed deep reinforcement learning models for robotic decision-making and control
- Developed PPO and Actor-Critic models for robotic control
- Led RL project achieving 35% performance optimization
- Conducted experiments using PyTorch and Stable-Baselines3
Master of Science, Robotics and Autonomous Systems
Arizona State University • Tempe, AZ
Advanced studies in robotics, AI, and autonomous systems with perfect GPA
- GPA: 4.0/4.0
- Coursework: Reinforcement Learning, Deep Learning, Computer Vision, AI for Robotics
Robotics & Embedded Systems Intern
DRDO • Hyderabad, India
Developed IoT-based automation systems using ARM7 microcontrollers
- Created home automation system with LPC2148 ARM7
- Implemented sensor fusion and real-time monitoring
- Gained hardware-software integration experience
PLC Automation Intern
Rayalaseema Thermal Power Plant • Kadapa, India
Industrial automation experience with PLC programming and SCADA systems
- Worked with Allen-Bradley and Siemens PLCs
- Assisted in boiler automation and turbine control
- Learned industrial safety and troubleshooting
Get In Touch
Let's discuss opportunities and collaborations