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18 articles
Robotics has spent decades looking at humans, dogs and insects; this strange 20-legged machine shows that nature has more radical body plans for movement.
A robot that repeats the same job is not truly reliable if the first unexpected obstacle knocks it off its learned path.
Five experiments at the University of Augsburg suggest that a human-like robot voice increases perceived support after a service failure, even without compensation.
Researchers at Carnegie Mellon are trying to turn the precision of animal movement into models robots can actually survive outside a demo.
Carnegie Mellon and the Bosch Center for AI developed HTD, a system that helps humanoids with contact-rich tasks and a 90.9 percent higher success rate.
Researchers from Penn Engineering, CMU, and Oxford argue that AI safety is dangerously behind physical robotics.
Researchers at the National University of Singapore and RoboScience have built FingerEye, a compact sensor that keeps visual and tactile signals together from approach to contact.
Penn Engineering built a millimeter-scale soft robot that releases knotted energy at 60 to 90 C and jumps nearly two meters.
SMU’s coil array steers microrobots in dark, camera-free zones—but the demo hides key hardware limits.
Lab tests show the actuator survives temperature swings from −60°C to 150°C—yet NASA’s demands proof it won’t degrade after 15 years in vacuum.
Researchers at KAIST have demonstrated a shape-shifting actuator that operates without motors, completing full reconfigurations in under 500 milliseconds.
Tokyo researchers built a 2.4 GHz Wi-Fi receiver that withstands 500 kGy of radiation for nuclear robot control.
The robot’s design treats sensor failure as a feature, not a flaw—a rare engineering mindset in a field obsessed with perfection.
RMIT's Electronic Dolphin is a sneaker-sized robot built to tackle oil spills.
Penn Engineering built a millimeter-scale soft robot that releases knotted energy at 60 to 90 C and jumps nearly two meters.
A robot powered by lab-grown muscle shows that biohybrid robotics can learn from its own mechanical training.
LATENT achieved a 96.5% success rate on a Unitree G1 returning tennis balls within 2.5 meters of the target.
The physical iris responds in milliseconds, faster than electronic exposure adjustment.
