At the recently concluded 2026 Global Developer Pioneer Conference (GDPS 2026), the Shanghai West Bund International Convention and Exhibition Center witnessed the charm of the integration of artificial intelligence and brain science. The Yugou Zhihe exhibition booth was crowded with people, and passersby lined up to experience this technologically advanced brain-controlled claw machine.
Unlike traditional entertainment equipment, the Yugou Zhihe brain-controlled claw machine ingeniously integrates "EEG interaction" with "manual joystick": players still retain the sense of manual positioning, but in the most critical "grabbing phase", success depends entirely on the brain's "concentration". This design of intention control for gripping force not only enhances the interactive depth of the game but also directly demonstrates Yugou Zhihe's profound technical accumulation in the field of non-invasive brain-computer interfaces.
This highly engaging and forward-looking exhibition also attracted the high attention of Shanghai's mainstream media, "Wen Hui Bao". Wen Hui Bao conducted a special report on the GDPS 2026 conference and the Yugou Zhihe brain-controlled claw machine through the Sohu platform.
The original report is quoted as follows:
Does Attention Determine Grip Strength? This Claw Machine is Controlled by Thought
On March 27th, the 2026 Global Developer Pioneer Conference (GDPS 2026) opened at the Shanghai West Bund International Convention and Exhibition Center. On-site, a long queue formed in front of a brain-controlled claw machine. According to staff, the headband worn by the experiencer collects the brain's "attention signals" and transmits them to the machine. The more concentrated the wearer's attention, the greater the gripping force of the claw.
Related link: Click to view the original report from Wen Hui Bao (Sohu account)
Summary
The enthusiastic response at this GDPS conference proves the broad prospects of brain-computer interface technology in the pan-entertainment field. We will continue to optimize our algorithms to bring users more accurate and smoother intention interaction experiences.