In the race for humanoid robotics supremacy, a new chapter is unfolding. While Tesla struggles to convince with its Optimus robot, Hyundai’s Boston Dynamics is scoring major points with Atlas, demonstrating genuine autonomy in industrial tasks.

The contrast couldn’t be starker. Tesla’s October 10th Optimus presentation raised more questions than excitement when subsequent revelations indicated the robot was largely remote-controlled during its demonstration. This marks a significant setback for Elon Musk, who had promised mass production by 2025 and deployment in Tesla factories by 2026.

Meanwhile, Atlas, originally designed for disaster response, is impressing observers with its real capabilities. Its latest all-electric version stands out for its ability to perform complex tasks in industrial settings truly autonomously. Recent promotional videos showcase a robot capable of sorting objects, identifying appropriate grip points, and even learning from its mistakes without human intervention.

“The switch to electric actuators represents a major breakthrough,” explains an industry expert. “This technical simplification makes mass production more feasible while enabling more precise control.” Tesla had also adopted this approach for Optimus, standardizing its 28 actuators into just six types.

However, Tesla maintains significant advantages. According to Professor Jeon Jin-woo, senior researcher at the Korea Institute for Robot Industry Advancement, Tesla’s data-driven approach could prove decisive. “Optimus mimics human movements using data collected from Tesla factories, while Atlas favors robot-specific movements,” he notes. This difference could make it easier to integrate Optimus into existing assembly lines.

The question of commercial viability remains open for both competitors. Tesla suggests a price range of $20,000 to $30,000 for Optimus but struggles to clearly define its industrial applications. Boston Dynamics, meanwhile, is moving cautiously and hasn’t announced a commercialization timeline.

According to Kang Hee-jin, an analyst at Samsung Securities, commercial success will depend on manufacturers’ ability to clearly define their robots’ utility. “Without specific applications, it’s difficult for investors to evaluate the potential of these technologies, regardless of price.”

This technological race illustrates the complex challenges of humanoid robotics: beyond spectacular demonstrations, the ability to offer practical and economically viable solutions will determine the winner. As both companies push forward with their developments, the industry watches closely to see which approach – Tesla’s data-driven methodology or Boston Dynamics’ advanced mobility solutions – will ultimately prevail in the marketplace.

With billions of dollars at stake and the future of industrial automation hanging in the balance, this competition between two tech giants continues to reshape our understanding of what’s possible in robotics. The coming months will be crucial in determining whether either company can bridge the gap between impressive demonstrations and practical industrial applications.