Video Friday: Multitasking Robots Smoothly Do the Things Together
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- Spectrum.ieee.orgAutomaton
IEEE Spectrum robotics has released its weekly roundup of notable robotics videos and upcoming events, including the ICRA 2026 conference scheduled for June 1-5, 2026, in Vienna. Among the highlights, Westwood Robotics unveiled THEMIS Gen2.5, the first commercial full-size humanoid robot capable of walking and manipulating objects simultaneously. This advancement builds on Helix's previous work, which demonstrated a single neural network controlling a humanoid's upper body, now expanded to encompass the entire robot's functions.
In a demonstration of practical applications, Kimberly Elenberg from Carnegie Mellon University showcased how data from robotic responders can enhance life-saving efforts during mass casualty incidents. Meanwhile, Sphero continues to thrive in the competitive educational robotics market since its inception in 2011.
Innovative flight testing methods were discussed by Zipline, emphasizing the importance of testing drones in extreme conditions. Additionally, researchers from the University of Tokyo introduced a concept of 3D-printing both skin and skeleton, while LimX presented small bipedal robots capable of skiing and resembling dinosaurs.
The EPFL Reconfigurable Robotics Lab introduced a novel user-guided control system for modular robots, demonstrating its effectiveness through various tasks. Texas A&M University showcased its Quadrotor Biplane Tailsitter (QBiT) UAVs, which combine the agility of quadrotor drones with the efficiency of fixed-wing aircraft. Lastly, DARPA announced a new challenge aimed at developing drones capable of carrying payloads exceeding four times their weight, promising to transform drone usage across multiple sectors.
Original report
Video Friday: Multitasking Robots Smoothly Do the Things Together
Spectrum.ieee.orgAutomaton · Evan AckermanThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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