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Algorithm Improves Robots' Ability to Fetch Objects

An algorithm developed at Brown University will improve robots' ability to ask clarifying questions and more effectively retrieve objects, an important task for future robotic assistants.

Posted in: News, Automation, Robotics

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Six-Legged Robots Move Faster with Bipod Gate

Researchers have discovered a faster and more efficient gait, never observed in nature, for six-legged robots walking on flat ground. Bio-inspired gaits, which are less efficient for robots, are used by real insects because they have adhesive pads to walk in three dimensions. (Credit: EPFL/Alain Herzog) Researchers in Lausanne, Switzerland have determined that a bipod gait is the fastest and most efficient way for six-legged robots to move on flat ground, provided they don’t have the adhesive pads used by insects to climb walls and ceilings. This suggests designers of insect-inspired robots should make a break with the nature-inspired tripod-gait paradigm.

Posted in: News, Motion Control, Robotics

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Tool Helps Design Soft Robots That Can Bend and Twist

Designing a soft robot to move organically — to bend like a finger or twist like a wrist — has always been a process of trial and error. Now, researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering have developed a method to automatically design soft actuators based on the desired movement.

Posted in: News, Implants & Prosthetics, Motion Control, Robotics, Computer-Aided Design (CAD), Software

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Prototype Capture System Simulates Asteroid Mission

A prototype of the robotic capture module system is tested with a mock asteroid boulder in its clutches at NASA’s Goddard Space Flight Center. A robotic capture module system prototype was built to help NASA engineers understand the operations required to collect a multi-ton boulder from an asteroid’s surface. The hardware includes three space frame legs with foot pads, and two seven-degrees-of-freedom arms with microspine gripper “hands” to grasp onto the boulder.

Posted in: News, Motion Control, Robotics

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Machine-Learning System Recognizes Sounds from Video

A machine learning system from the Massachusetts Institute of Technology (MIT) recognizes sounds by watching video. The neural network interprets natural sounds in terms of image categories, without hand-annotated training data.

Posted in: News, Automation

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AI Algorithm 'Learns' Beyond its Training

A new machine-learning training method developed at the University of Toronto enables neural networks to learn directly from human-defined rules. The achievement supports new possibilities for artificial intelligence in medical diagnostics and self-driving cars.

Posted in: News, Diagnostics, Automation, Robotics, Software

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Drones and Biobots Map Disaster Areas

North Carolina State University researchers will use unmanned aerial vehicles (UAVs) and insect cyborgs, or biobots, to map large, unfamiliar locations.

Posted in: News, Robotics

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