Category robots in business

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Robotic House Construction—Sekisui Heim’s Pursuit in Combating a Housing Industry Labor Shortage

The way the production line is set up is said to be inspired by car factories. The industrial robots from Kawasaki are utilized on the unit assembly line, working on gable frame assembly, and overall assembly to connect the ceiling, floor and gable frames.

Exploring the interactions between sound, action and vision in robotics

In recent years, researchers have developed a growing amount of computational techniques to enable human-like capabilities in robots. Most techniques developed so far, however, merely focus on artificially reproducing the senses of vision and touch, disregarding other senses, such as auditory perception.

Robot Sensor Market is set to surpass USD 4 billion by 2026

A vast majority of manufacturers are integrating robotic systems in production facilities to enhance production capacity, boost profit margins, and cut operational costs. These trends have created a substantial demand for robotic components, including robot sensors like 3D vision.

#316: Introspective Robots, with Nathan Michael

In this episode, Lilly interviews Nathan Michael, Professor and Director of the Resilient Intelligent Systems Lab at the Robotics Institute within Carnegie Mellon University. They discuss introspection, adaptation, and evolvement in robotics. Michael speaks about topics in state estimation and distributed perception, and other challenges in control, perception, and cognition for both single and multi-robot systems.

Nathan Michael

Nathan Michael is an Associate Research Professor and the Director of the Resilient Intelligent Systems Lab at the Robotics Institute within Carnegie Mellon University (CMU). Professor Michael’s research seeks to enable the development of self-sufficient robots and teams of robots that can respond to disasters; robots which can perform the tasks of first responders in order to reduce the number of people placed in harm’s way. His research employs the principles of resilient intelligence and persistent knowledge to enable robots to innovate to solve complex problems, to overcome unanticipated challenges and to learn from their experiences. Applications of Professor Michael’s work include the use of autonomous robots to explore earthquake-damaged buildings and the deployment of unmanned aerial systems to inspect nuclear reactor cores and measure radiation levels.

 

 

Links

The Drive for Reliable Data: Using Real-World Inputs to Test MicroStrain Inertial Sensors

Inertial measurement units (IMUs) are essential tools for manufacturers of off-road heavy-duty vehicles and machinery. They provide critical information that is used to control, monitor and manage the equipment, but also to ensure operator safety during use.
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