Karthikeya Varma

Developed 5G-enabled autonomous mobile manipulation for factory automation, enabling reliable operation across intelligent manufacturing cells using a mobile robot with an integrated Fanuc robotic arm for both transport and manipulation tasks. Developed the system architecture and designed resilient communication pipelines across distributed systems and private 5G networks, combining digital-twin validation and teleoperation with edge/cloud robotics processing. Built core robotics capabilities spanning navi

As a Research Intern at JKU HOERBIGER Research Institute for Smart Actuators, I specialize in motor control system optimization, focusing on developing advanced control strategies like vector control, PID tuning, and modulation techniques for robotics applications. My work includes designing and testing control parameters for current, position, and speed loops, programming controllers, and conducting simulations to enhance performance and efficiency. I am also skilled in developing auto-commissioning proced

Worked across two interdisciplinary projects involving robotics, virtual reality, and mechanical design. At Cynteract, developed a VR-enabled haptic glove and sleeve for the “Rehabilitation Glove” project using Meta Quest, enabling users to feel touch and temperature from virtual environments. Designed interactive interfaces in Unity and integrated the system’s real-time communication and sensory feedback. At Autak, contributed to the “Stair Climbing Wheelchair” project by designing mechanical components in

During my internship at Vistan NEXTGEN as a Robotic Engineer, I gained hands-on experience in designing robot components using Fusion 360 and Solid Works. Additionally, I performed mechanical assembly of the designed components and demonstrated proficiency in robot circuit design, electrical connections, and soldering iron techniques. This internship has equipped me with valuable skills in robotic engineering, contributing to my ability to excel in future roles in the field.

Designed 3D mechanical parts for endline automation and supported electrical integration (wiring checks, sensor/actuator connections) during assembly and commissioning. Assisted with quality inspections and documentation, and supported PLC-based commissioning by reviewing ladder logic, monitoring I/O/status signals, and helping troubleshoot machine behavior alongside the controls team.

As a student intern at the YBI Foundation, I gained intermediate-level machine-learning skills in Python and completed a project on heart disease prediction. My responsibilities included learning and implementing machine learning algorithms, analyzing data, and communicating results.