Autonomous robotic locomotion investigates how robots perceive, plan, and execute movement in complex, often unstructured environments with minimal human intervention. Work in this area spans legged, wheeled, aerial, amphibious, and soft robots, emphasizing bio-inspired control strategies, neuromechanics, and learning-based methods for gait adaptation, trajectory modulation, and slip prevention. Research also addresses navigation and mapping, kinematic and impedance control, and human–robot collaboration, enabling robots to perform tasks such as construction, waste collection, manipulation, and agile behaviors like parkour, badminton, and swarm-based assembly.
Robotics
For 20 hours a day, seven days a week, a security robot rolls around the old Kansas City Star building on the 1600 block of McGee Street, like the 21st century version of a street patrolling beat cop.
Sep 15, 2025
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Robotics
Exoskeletons typically work by implementing motions programmed in advance and having the user call for them, making it difficult to use them for a wide range of motions in real-life environments.
Sep 11, 2025
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Robotics
Birds flock in order to forage and move more efficiently. Fish school to avoid predators. And bees swarm to reproduce. Recent advances in artificial intelligence have sought to mimic these natural behaviors as a way to potentially ...
Sep 9, 2025
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Machine learning & AI
Today's AI vision is effective at recognizing simple images in isolation—such as buildings, cars, and people. But when it's called upon to identify more complex terrain, its accuracy becomes questionable. This is one of ...
Sep 8, 2025
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Robotics
Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of robotic arms to work together faster and smarter in busy industrial settings, potentially saving manufacturers ...
Sep 4, 2025
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Robotics
Imagine for a moment that you're in an auto factory. A robot and a human are working next to each other on the production line. The robot is busy rapidly assembling car doors while the human runs quality control, inspecting ...
Aug 28, 2025
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Robotics
Navigating without a map is a difficult task for robots, especially when they can't reliably determine where they are. A new AI-powered solution helps robots overcome this challenge by training them to make movement decisions ...
Aug 27, 2025
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Robotics
A research team from ETH Zurich has taught the four-legged robot ANYmal to play badminton. The system features precise arm movements, quick reflexes and nimble footwork.
Aug 25, 2025
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Robotics
Despite decades of progress, most robots are still programmed for specific, repetitive tasks. They struggle with the unexpected and can't adapt to new situations without painstaking reprogramming. But what if they could learn ...
Robotics
In a major step toward intelligent and collaborative microrobotic systems, researchers at the Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN) at Chemnitz University of Technology have ...
Aug 22, 2025
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