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From Honda’s P2 to Skating Humanoids: How Robot Legs Are Shaping the Next Generation of Robot Dogs

From Honda’s P2 to Skating Humanoids: How Robot Legs Are Shaping the Next Generation of Robot Dogs
interest|Robot Dogs

Honda P2: The Humanoid That Taught Robots How to Walk With Us

When Honda’s P2 humanoid bipedal robot earned recognition as an IEEE Milestone, it was more than a nostalgic nod. The P2, developed in the mid-1990s, showed that a robot could walk on two legs with controlled balance and move in ways that fit into human environments, not just factory lines. IEEE highlighted Honda’s achievement in bipedal walking control and, just as importantly, its new concept for robots: machines with flexible intelligence designed for roles beyond industrial automation, including personal assistance and other societal uses. The technologies pioneered in the Honda P2 robot flowed directly into ASIMO, enabling smoother, human-like gait and more natural interaction. Honda notes that the same core robotics know-how now underpins everything from multi-fingered robot hands and remote avatar robots to eVTOL aircraft and space robots. In other words, P2’s legs helped define a broader vision for how robots move and work alongside people.

From Honda’s P2 to Skating Humanoids: How Robot Legs Are Shaping the Next Generation of Robot Dogs

Unitree’s Skating G1: A Humanoid Demo That Glides, Spins, and Flips

Jump forward to the latest Unitree humanoid demo, and the contrast is dramatic. In a recent video, Unitree’s G1 robot glides across floors on roller skates and even ice skates, spins on one leg, executes 360-degree turns, and performs front flips while staying upright. This spectacle showcases how far robot mobility has progressed, powered by advances in actuators, control algorithms, and power systems. The G1’s hybrid design is crucial: it can walk like a typical humanoid or roll on wheels, switching in real time to suit the terrain. On smooth ground, wheels offer efficient, fast travel; on uneven surfaces, legs take over. Unitree frames humanoids as ideal general-purpose platforms that can use wheels “if they want, whatever works,” reflecting a pragmatic approach. Behind the flashy moves lie simulation-based training and AI-driven motion control, which allow the robot to rehearse complex actions virtually before they ever touch the real world.

From Biped and Wheels to Robot Dog Mobility

At first glance, a tall humanoid like P2 or G1 seems far removed from a low-slung robot dog. But the connection is direct: every improvement in legged balance, dynamic control, and hybrid locomotion feeds into better robot dog mobility. The P2-era research established core principles for keeping a tall, unstable body balanced while walking. Those same control techniques help quadrupeds coordinate multiple joints, recover from slips, and handle stairs or uneven ground. Unitree’s G1 extends this by blending wheeled and legged motion, proving that robots can choose the most efficient gait on the fly. That idea translates naturally to quadrupeds: future robot dogs may roll down long corridors, then switch to agile, four-legged walking in cluttered spaces. The result is a quiet but important thread in bipedal robot history and humanoid robotics evolution: every leap in humanoid agility makes agile quadrupeds more capable, stable, and energy-efficient.

From Lab Demos to Robot Dogs in Malls and Factories

Honda’s P2 began as a research platform but reshaped expectations for human–robot interaction, influencing assistants like ASIMO and even remote avatar robots. Unitree’s G1, while still showcased in controlled demos, is part of a broader platform aimed at real-world tasks, data collection, and AI training. Together, they illustrate a shift from lab-only locomotion experiments to commercially oriented machines that share core technologies. Robot dogs benefit directly: improved balance, smoother gait, and hybrid locomotion ideas make today’s quadrupeds more reliable for security patrols, industrial inspection, or entertainment. For Malaysian settings, this matters in very practical ways. In large malls, agile robot dogs could navigate crowds and escalators while guiding visitors or monitoring safety. In factories and ports, they could traverse ramps, cables, or wet floors that defeat simple wheeled bots. As public spaces become more automated, expect to see dog-sized robots whose movement owes a quiet debt to P2’s careful steps and G1’s dramatic spins.

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