Max Robotics — Global Service Robot Directory + US Certification

About

Mahmud Iwan Solihin is a researcher advancing the frontiers of intelligent robotics, automation, and sustainable technology. His work spans trajectory planning for robot manipulators, soft robotics, and swarm robotics for disaster mitigation, demonstrating a deep commitment to solving real-world problems through artificial intelligence and mechatronics. Solihin’s most impactful contribution is the development of an artificial intelligent approach for polynomial trajectory planning in robot manipulators (17 citations), which enhances precision and adaptability in industrial automation. He has also optimized fuzzy logic controller parameters using meta-heuristic algorithms for gantry crane systems (15 citations), improving control efficiency in complex mechanical systems. Notably, Solihin addresses global sustainability challenges with his work on an intelligent kitchen waste composting system integrating deep learning and IoT (15 citations), tackling climate change through smart waste management. His research extends to grasp stability analysis for soft robot hands, lightweight object detection models for retail (LSR-YOLO), and multi-sensor fusion for shopping robot localization. Solihin’s diverse portfolio—from ladder-climbing robots to IoT-based welding error compensation—reflects a versatile engineer whose innovations bridge theory and practice, earning recognition across robotics, AI, and environmental technology communities.