Max Robotics — Global Service Robot Directory + US Certification

About

Zhifeng Hao is a leading researcher in intelligent robotics, with a focus on design automation, swarm intelligence, and autonomous navigation. His work bridges the gap between theoretical algorithms and practical robotic systems, particularly for aerial and swarm robots. Hao’s most-cited paper, a 2023 survey on modular design automation for intelligent robots (23 citations), provides a comprehensive framework for automating the design of robot morphologies, controllers, and vision systems—a critical step toward knowledge-worker automation in robotics. He has also pioneered automated pattern generation for swarm robots using constrained multi-objective genetic programming (20 citations), enabling complex collective behaviors without manual programming. His innovative VG-Swarm system (17 citations) introduces a vision-based gene regulation network that allows UAVs to dynamically encircle targets using only visual input, a breakthrough for decentralized swarm control. Additionally, Hao developed Efficient Focus Autoencoders for fast autonomous flight in intricate wild scenarios (5 citations), reducing environmental perception latency for aerial robots. His work is notable for combining bio-inspired algorithms with practical deployment, advancing the frontier of autonomous robotics.