Accession Number : ADA293581
Title : Force and Vision Resolvability for Assimilating Disparate Sensory Feedback.
Descriptive Note : Technical rept.,
Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA ROBOTICS INST
Personal Author(s) : Nelson, Bradley J. ; Khosla, Pradeep K.
PDF Url : ADA293581
Report Date : FEB 1995
Pagination or Media Count : 48
Abstract : Force and vision sensors provide complementary information, yet they are fundamentally different sensing modalities. This implies that traditional sensor integration techniques that require common data representations are not appropriate for combining the feedback from these two disparate sensor. In this paper, we introduce the concept of vision and force sensor resolvability as a means of comparing the ability of the two sensing modes to provide useful information during robotic manipulation tasks. By monitoring the resolvability of the two sensing modes with respect to the task, the information provided by the disparate sensors can be seamlessly assimilated during task execution. A nonlinear force/vision serving algorithm that uses force and vision resolvability to switch between sensing modes is proposed. The advantages of the assimilation technique is demonstrated during contact transitions between a stiff manipulator and rigid environment, a system configuration that easily becomes unstable when force control alone is used. Experimental results show that robust contact transitions are made by the proposed nonlinear controller while simultaneously satisfying the conflicting task requirements of fast approach velocities, maintaining stability, minimizing impact forces, and suppressing bounce between contact surfaces.
Descriptors : *COMPUTER VISION, *VISION, *VISUAL PERCEPTION, VELOCITY, ALGORITHMS, CONTROL, REQUIREMENTS, CONTROL SYSTEMS, ENVIRONMENTS, DETECTION, DETECTORS, STIFFNESS, HUMAN FACTORS ENGINEERING, IMPACT STRENGTH, SURFACES, NONLINEAR SYSTEMS, INTEGRATION, FEEDBACK, CONFIGURATIONS, TRANSITIONS, ASSIMILATION, RIGIDITY, MANIPULATORS, SENSES(PHYSIOLOGY), FORCE(MECHANICS).
Subject Categories : Human Factors Engineering & Man Machine System
Anatomy and Physiology
Distribution Statement : APPROVED FOR PUBLIC RELEASE