Max Robotics — Global Service Robot Directory + US Certification

About

Denny Darlis is a researcher advancing the frontiers of intelligent automation and energy-efficient robotics, with a focus on industrial and indoor applications. His work integrates fuzzy logic control, visible light communication, and energy optimization to create smarter, more autonomous mobile systems. His most impactful contribution, "Design and implementation of RFID line-follower robot system with color detection capability using fuzzy logic" (2015, 23 citations), addresses critical limitations in manual industrial transportation by enhancing precision, operational speed, and user authorization through a complementary automated system. Building on this, Darlis tackled the looming energy crisis with "Efficient energy consumption for indoor mobile robot prototype under illumination" (2018, 8 citations), demonstrating how lighting conditions can be leveraged to reduce power usage in warehouse robots—a practical solution for sustainable industry. His recent work, "Indoor Positioning System Infrastructure Based on Triangulation Method through Visible Light Communication" (2022, 4 citations), solves a key challenge in autonomous navigation by enabling robots to accurately determine their location indoors without GPS. Together, these contributions showcase Darlis’s commitment to bridging control systems, energy efficiency, and positioning technologies, making him a notable figure in robotics for smart manufacturing and logistics.