Max Robotics — Global Service Robot Directory + US Certification

About

H. Karbasi’s research career is defined by two distinct and impactful threads: pioneering work in modular robotics and a forward-looking application of deep learning to environmental sustainability. His foundational contributions center on the invention and development of the “uni-drive modular robot,” a novel class of robot that dramatically reduces module weight and complexity by using a single, base-mounted drive to power all joints. Through a series of influential papers (2002-2009), including his most cited work, “Uni-drive modular robots: theory, design, and experiments” (27 citations), Karbasi established the theory, dynamics, and control methodologies for this innovative system, solving key challenges in lightweight design and joint control. This work laid the groundwork for more efficient and practical modular robotic systems. Demonstrating a shift toward applied AI, his second most cited paper (12 citations) tackles a pressing real-world problem: automated sorting of used button cell batteries using deep learning. This work showcases his ability to apply cutting-edge techniques to critical challenges in recycling and waste management. With a total of over 50 citations across his key works, Karbasi’s career highlights a unique blend of mechanical ingenuity and modern computational problem-solving.