Sr. Deployement Engineer · Path Robotics

Talha Ejaz

Building autonomy that
senses, plans, and executes.

Robotics engineer delivering proven end-to-end solutions across mobile robots and robotic arms deploying AGV perception and navigation systems in warehouse and automotive plants, now deploying autonomous welding robot arms from initial bring-up through production readiness. MS Robotics from Columbus State University, published across autonomous navigation and computer vision.

Motion Control

Precision at the torch tip.

ROS-based motion control and URDF-tuned kinematics keep the weld path accurate the same joint-level control problems I solve on autonomous welding cells.

Forward Deployment

Commissioned on the customer floor.

Cells configured, calibrated, and brought online at customer facilities not simulated, not staged, running autonomous welds from day one.

Production Robotics

From bring-up to steady state.

Software issues diagnosed and fixed on-site, releases stabilized across the fleet, and AWS-backed telemetry keeping deployed cells visible and reliable.

Scroll to explore ↓

Autonomous Navigation

Reading the floor as it moves.

LiDAR, camera, and IMU sensor fusion drive real-time localization the same navigation stack I've tuned to keep AGVs tracking true across live warehouse floors.

Task Planning

Pickup to drop-off, planned live.

Trajectory and lift sequencing computed on the fly coordinating motion, load handling, and path correction into a single autonomous task.

Production Deployment

Built for the floor, not the lab.

Fleets commissioned and sustained across warehouse, automotive, gypsum, and paper manufacturing sites bring-up, troubleshooting, and tuning to keep pace with real production throughput.

Featured

Selected Work

Self-Driving Car Using Deep Learning on Quanser Qcar

Self-Driving Car Using Deep Learning on Quanser Qcar

Deep Convolutional Neural Network architecture for autonomous navigation, enabling obstacle detection and avoidance. Trained to differentiate static and dynamic obstacles for collision-free movement, tested on a Quanser Qcar with an Nvidia Jetson TX2.

Deep LearningAutonomous NavigationComputer Vision
Clearpath Jackal Frontier Exploration SLAM

Clearpath Jackal Frontier Exploration SLAM

Frontier-based exploration using LiDAR in ROS-Melodic Gazebo for autonomous mapping of unknown territories — localization, mapping, and exploration working in tandem with simultaneous localization and mapping (SLAM).

SLAMROSMotion Planning
A 2D Path-planning Performance Comparison of RRT and RRT* for Unmanned Ground Vehicle

IAES International Journal of Robotics and Automation (IJRA)

A 2D Path-planning Performance Comparison of RRT and RRT* for Unmanned Ground Vehicle

Comparative performance study of RRT and RRT* sampling-based path planners for unmanned ground vehicle navigation.

Motion PlanningPath Planning
0

Publications

0

Projects

0

Certifications

Talha Ejaz

About Me

Senior Deployment Engineer at Path Robotics, deploying autonomous welding robot arms end to end. Previously at JBT Corporation, deploying AGVs and optimizing navigation, perception, and sensor fusion for production robotics.

Read more →