Max Robotics — Global Service Robot Directory + US Certification

About

Can Wu’s research bridges the foundational principles of robotics with cutting-edge surgical applications, demonstrating a career-long commitment to advancing autonomous motion and collision avoidance. In his early work, Wu introduced a novel geometric method for planning and controlling a robot’s orientational path, ensuring predictable end-effector movement along prescribed trajectories—a contribution that remains cited for its theoretical elegance. He later developed an automated collision-avoidance planner for dynamic 3D environments, leveraging a modified path-velocity decomposition to coordinate safe motion among moving objects or machines. These foundational papers, each garnering 8 citations, established Wu’s expertise in multi-agent coordination and obstacle avoidance, which he extended to formation control of six-wheeled robot groups using AMCL-based localization. Most recently, Wu has translated his robotics acumen into the medical domain, leading a single-center retrospective study comparing totally robotic versus robotic-assisted distal gastrectomy for gastric cancer. This 2024 work, with 3 citations, evaluates short-term surgical outcomes, showcasing his ability to apply robotic precision to life-saving procedures. Wu’s trajectory from theoretical path planning to clinical robotics underscores a versatile impact on both engineering and medicine.