Developed a bilateral lower-limb exoskeleton for assistance and rehabilitation applications. The system integrates custom actuator mechanisms, an adjustable wearable structure, embedded sensors, and real-time control with a machine-learning model that generates personalized hip and knee trajectories based on the user’s anatomical characteristics.
Developed a vision-guided control system that enables a DJI Tello drone to detect an ArUco marker, determine its relative position and orientation, and autonomously navigate toward it. Using real-time computer vision and closed-loop control, the drone continuously corrects its motion as it approaches the target.
Developed a real-time computer vision pipeline using OpenCV to detect and classify fruits and vegetables on a conveyor belt through background subtraction, contour analysis, dominant hue extraction, and geometric feature-based classification.
Developed a computer vision-based 3D measurement system that estimates the real-world dimensions of objects using images captured from two viewpoints with a single camera.
Developed a ROS 2-based teleoperation system for a mobile rover using dual Raspberry Pi computers, creating a distributed architecture for real-time motion control and video streaming. The system integrates ROS 2 Humble, differential-drive control, Wi-Fi communication, Raspberry Pi hardware, and RViz to remotely command and monitor the rover.
Developed an autonomous mobile robot that detects and avoids obstacles using dual ultrasonic sensors and real-time distance feedback. Built around a Raspberry Pi, the robot continuously compares left and right sensor measurements to make autonomous steering decisions and navigate around obstacles without human control.
Developed an autonomous mobile robot capable of navigating an indoor environment using multiple sensing and control strategies. The robot combines PD-based wall following, obstacle avoidance, IR beacon guidance, and reflective-line detection within a state-based control architecture to autonomously transition between navigation tasks and reach its goal.
Designed and analyzed an active double-wishbone suspension system that uses a bell-crank mechanism and pressure-controlled pneumatic actuator to dynamically vary suspension stiffness. The project integrates 3D CAD, structural FEA, vehicle-dynamics simulation, and feedback control to investigate how active suspension can adapt between ride comfort and vehicle stability.
Contributed to the design and development of an electric BAJA all-terrain vehicle, working across mechanical design, braking, fabrication, and vehicle integration for the eBAJA competition. Beyond vehicle development, the project became a practical lesson in sensor reliability and system-level engineering when a faulty motor Hall sensor prevented the vehicle from completing the final technical inspection.