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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 ...
Perceived Constraint Identification Using Physics-Informed Deep Neural Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Autonomous manipulation for robots in unstructured environments is challenging due to the technical gap between perception and acting in the physical world. This challenge becomes even more difficult when an ...
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