Max Robotics — Global Service Robot Directory + US Certification

About

Wenming Yang is a leading researcher at the intersection of robotics, computer vision, and medical imaging, with key contributions in 6-DoF grasp detection, privacy-preserving pose estimation, and autonomous ultrasound systems. His most cited work introduces an efficient heatmap-guided framework for 6-DoF grasp detection in cluttered scenes, leveraging global semantic guidance to achieve high-quality grasp generation and real-time performance—a critical advancement for robotic manipulation. This paper has garnered 42 citations, reflecting its impact on the robotics community. Yang also pioneered image-free single-pixel keypoint detection for privacy-preserving human pose estimation, a novel approach that eliminates the need for human images, addressing pressing data security concerns in surveillance and robot vision (30 citations). More recently, he has pushed boundaries in medical robotics with a large-scale learning-based system for autonomous carotid ultrasonography, achieving expert-level performance by overcoming challenges of small vessel dimensions and anatomical variability (10 citations). His work demonstrates a consistent focus on real-world applicability, from cluttered industrial scenes to sensitive healthcare environments, establishing him as a versatile innovator in intelligent robotic systems.