Robotic Grasping of Fully-Occluded Objects using RF Perception

Non-Exclusively Licensed

A control system and method locates a partially or fully occluded target object in an area of interest. The location of the occluded object may be determined using visual information from a vision sensor and RF-based location information. Determining the location of the target object in this manner may effectively allow the control system to “see through” obstructions that are occluding the object. Model-based and/or deep-learning techniques may then be employed to move a robot into range relative to the target object to perform a predetermined (e.g., grasping) operation. This operation may be performed while the object is still in the occluded state or after a decluttering operation has been performed to remove one or more obstructions that are occluding light-of-sight vision to the object

Researchers

Fadel Adib / Junshan Leng / Tara Boroushaki

Departments: Program in Media Arts and Sciences, Media Lab
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Industrial Engineering & Automation: Robotics
Impact Areas: Uncharted Frontiers

  • system and method for location determination and robot control
    United States of America | Published application
  • system and method for location determination and robot control
    United States of America | Granted | 12,162,169

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