Video Friday: Watch This Running Robot Not Fall Down Stairs

2026-06-05 · Source: IEEE Spectrum · Field: Technology & Digital — Robotics & Autonomous Systems, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, quick

Summary

This IEEE Spectrum "Video Friday" compilation presents recent advancements in robotics through a selection of videos and lists upcoming industry events. Highlights include Deep Robotics' demonstration of an MPC-based balance controller enabling a running robot to recover from falls, and Generative Bionics' GENE01 humanoid robot, developed in three months with physical AI for motor control. IHMC Robotics showcased its Alex humanoid taking untethered outdoor steps, while Flexiv Robotics introduced the compact, collaborative Flexiv Mico dual-arm system. Boston Dynamics' Atlas robot is featured learning football, exploring movements unconstrained by biology. Additionally, the compilation previews CCRobot-S, a team of reconfigurable cable-climbing robots for bridge inspection, presented at ICRA 2026. Upcoming events include RSS 2026 in Sydney, a Summer School on Multi-Robot Systems 2026 in Prague, and Actuate 2026 in San Francisco.

Key takeaway

For robotics engineers evaluating current capabilities, this overview highlights rapid progress in areas like robust balance control and untethered outdoor navigation. You should consider how advancements in physical AI, as seen with GENE01's three-month development, could accelerate your project timelines. Explore collaborative dual-arm systems like Flexiv Mico for enhanced workspace safety and efficiency, and investigate reconfigurable robot designs for specialized inspection or maintenance tasks.

Key insights

Robotics innovation is rapidly advancing across diverse applications, from humanoid mobility to collaborative industrial systems.

Principles

• MPC-based controllers improve robot stability.
• Physical AI accelerates humanoid robot development.
• Reconfigurable robots offer task-specific adaptability.

Method

Generative Bionics developed GENE01 using physical AI for motor control and world-action modeling, achieving batch production in three months.

In practice

• Untethered humanoid outdoor navigation.
• Collaborative dual-arm industrial systems.
• Cable-climbing robots for infrastructure inspection.

Topics

• Humanoid Robotics
• Robot Locomotion
• Physical AI
• Collaborative Robotics
• Infrastructure Inspection
• Robotics Events

Best for: Robotics Engineer, AI Engineer, AI Student

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Editorial summary, takeaway, and curation by AIssential. Original article published by IEEE Spectrum.