China's decade-long ascent in robot competitions has turned niche college events into a national showcase aligned with Xi Jinping's industrial goals, serving as a proving ground for commercial robotics products.

Milestones this week, including Unitree Robotics' IPO and the World Robot Conference, push China toward becoming a global hub for robotics innovation with major events driving momentum.

These events function as a national display of technological prowess and progress in the global robotics landscape, highlighting China’s emerging leadership in the field.

The energy demand study excludes robotics training infrastructure to avoid double-counting with data-center energy use, noting that most industrial robots draw power from the local grid.

In the assessment, robotics training is not counted separately to prevent double-counting, as industrial robots mainly rely on local grid electricity with limited low-carbon sourcing.

Global industrial robotics face rising power demand, with projections showing electricity use climbing to roughly 363 TWh annually by 2035, led by industrial robots.

Industrial robots are expected to account for the majority of future demand, with a relatively small share from humanoid robots.

The current global industrial robot fleet stands at about 5 million units (2025), consuming around 78 TWh per year, and is projected to grow to 16 million units by 2035 at about 12% annual growth.

Real-world deployments include subsea autonomous vehicles by Equinor, drones and robots for flare-stacks at Shell, and Spot quadrupeds for autonomous facility surveys by BP and Chevron.

The event includes 21 real-life scenarios—from household tasks to emergency rescue—designed to demonstrate practical applicability and attract end-user observers.

Event timing spans August 22-23 at the South Gate of the National Speed Skating Oval, with sessions continuing through August 26.

Developing a capable robotic hand remains one of the toughest hurdles for humanoids to achieve human-like touch and precision in real tasks.