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Increasing Mobile Robot Efficiency and Versatility Through Manipulation-Driven Adaptation1
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Terrestrial mobile robotics are crucial to a range of missions including planetary exploration, search and rescue, logistics, and national security. Many of these missions require the robot to operate on a broad variety ...
Enhancing Payload Capacity With Dual-Arm Manipulation and Adaptable Mechanical Intelligence
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Individual manipulators are limited by their vertical total load capacity. This places a fundamental limit on the weight of loads that a single manipulator can move. Cooperative manipulation with two arms has the potential ...
Localization of Thermal Wellbore Defects Using Machine Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Defect detection and localization are key to preventing environmentally damaging wellbore leakages in both geothermal and oil/gas applications. In this study, a multistep, machine learning approach is used to localize two ...