HyperRAMS – Hyper Robotics, Autonomous and Mechatronics Systems

The Hyper Robotics, Autonomous and Mechatronics Systems (HyperRAMS) team is part of VCU’s Vertically Integrated Projects (VIP) program, which supports sustained, multidisciplinary research experiences for undergraduate students. The team is dedicated to the design, development, and deployment of intelligent autonomous systems—such as quadrupeds and humanoid robots—targeting applications in healthcare, advanced manufacturing, and intelligent ground vehicle navigation. Emphasizing innovation in robotic perception, real-time AI/ML inference, and secure embedded control, HyperRAMS integrates cutting-edge technologies into functional platforms. Particular attention is given to the use of humanoid robots in neural engineering and rehabilitation, addressing the growing need for robotic solutions in therapeutic and assistive domains.

Our main areas of interest are:

• Autonomous robotic system design (humanoids and quadrupeds)
• Embedded and secure system development for smart devices
• AI/ML model training and deployment for perception and navigation
• Sensor integration, data acquisition, and control feedback systems
• Mechatronic system design and 3D printing for custom robotic platforms
• Robotics systems for biomedical, defense, and industrial applications

Goals

• Develop autonomous robotic systems for entry into the IGVC (Intelligent Ground Vehicle Competition)
• Create modular, scalable prototypes that integrate AI, mechatronics, and embedded systems
• Train students in end-to-end robotic development through hands-on workshops and mentorship
• Promote multidisciplinary collaboration and technical leadership among team members

Key Elements

• Participation in national robotics competitions (e.g., IGVC) through building robots or robotic components
• Soldering, Arduino, and 3D printing workshops to prepare students for hands-on tasks
• Real-time machine learning for object detection and path planning
• Weekly team meetings and milestone reviews for continuous project monitoring
• Structured peer mentoring for vertically integrated learning and leadership development

Projects

• Complete an in-house autonomous robot platform for IGVC 2026
• Design, print, and test mechanical components using additive manufacturing
• Develop and deploy embedded AI models for obstacle avoidance and human recognition
• Build a secure communication framework for robot-to-robot and human-robot interactions
• Collaborate with students across engineering disciplines to address real-world robotic challenges