Video Friday: Lift Happens
Your weekly selection of robot videos includes a tiny plant-crawler, bartending and mini-fridge robot arms, and gecko-inspired robotic grippers.
By Evan Ackerman, IEEE Spectrum’s Robotics Editor | 2 min read
Welcome back to Video Friday, your weekly roundup of the most captivating robot videos from across the globe. This week, we’ve got a mix that highlights the diversity of modern robotics—from nature-inspired micro-machines to practical automation for everyday tasks.
Tiny Plant-Crawler
First up, a minuscule robot that navigates plant surfaces with surprising agility. Designed to mimic the movements of climbing insects, this crawler could enable future applications in precision agriculture and environmental monitoring. As of 2026, researchers are exploring how such micro-robots can be deployed in real-world fields to assess crop health or pollinate plants, potentially reducing the need for chemical treatments.
Bartending and Mini-Fridge Robot Arms
Next, we have robot arms that bring a touch of automation to hospitality and home convenience. One system showcases a bartending robot that can mix and serve drinks with impressive accuracy, while another demonstrates a compact arm integrated into a mini-fridge, capable of grabbing snacks or beverages on demand. These developments reflect a growing trend in 2026 toward affordable, collaborative robots designed for small-scale settings—from smart homes to pop-up bars.
Gecko-Inspired Robotic Grippers
Finally, our featured innovation comes from nature’s blueprint: gecko-inspired robotic grippers. These devices use dry adhesion technology to handle delicate objects—like glassware or electronic components—without leaving residue or causing damage. In 2026, we’re seeing such grippers become more versatile, with improved control systems that allow them to adapt to irregular shapes and surfaces, opening up new possibilities in manufacturing and logistics.
That wraps up this week’s selection. Stay tuned for more robotic wonders, and as always, remember: even when robots fall, they’re just learning to lift better next time.