Max Robotics — Global Service Robot Directory + US Certification

About

Hongjian Zhang is a pioneering researcher at the intersection of agricultural robotics and soft robotic systems, whose work bridges precision agriculture and bio-inspired engineering. His most impactful contribution, the improved YOLOv7-based apple fruit target recognition method (55 citations), addresses critical challenges in automated harvesting—specifically the low accuracy caused by fruit density, occlusion, and overlapping—by introducing a novel split-image preprocessing algorithm that significantly enhances detection in complex orchard environments. In soft robotics, Zhang has made equally notable advances: he developed the first submersible soft-robotic platform utilizing liquid–vapor phase transition for noise-free hovering, enabling precise buoyancy control with low energy consumption—a breakthrough for underwater exploration. His SPARC robot (2025) represents a leap in soft robotics, achieving proprioceptive, agile 3D climbing and trajectory-following on both horizontal and vertical surfaces, demonstrating the potential of compliant systems for extreme terrain navigation. Zhang’s work also extends to ultra-light soft actuators using electrospinning and flexible force-sensing methods for apple diameter prediction during mechanical picking, showcasing his unique ability to integrate soft materials with agricultural applications. With a growing citation impact and innovations spanning from orchard to ocean, Zhang is shaping the future of intelligent, adaptive robotic systems.