13,075 research outputs found

    Safe Robotic Grasping: Minimum Impact-Force Grasp Selection

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    This paper addresses the problem of selecting from a choice of possible grasps, so that impact forces will be minimised if a collision occurs while the robot is moving the grasped object along a post-grasp trajectory. Such considerations are important for safety in human-robot interaction, where even a certified "human-safe" (e.g. compliant) arm may become hazardous once it grasps and begins moving an object, which may have significant mass, sharp edges or other dangers. Additionally, minimising collision forces is critical to preserving the longevity of robots which operate in uncertain and hazardous environments, e.g. robots deployed for nuclear decommissioning, where removing a damaged robot from a contaminated zone for repairs may be extremely difficult and costly. Also, unwanted collisions between a robot and critical infrastructure (e.g. pipework) in such high-consequence environments can be disastrous. In this paper, we investigate how the safety of the post-grasp motion can be considered during the pre-grasp approach phase, so that the selected grasp is optimal in terms applying minimum impact forces if a collision occurs during a desired post-grasp manipulation. We build on the methods of augmented robot-object dynamics models and "effective mass" and propose a method for combining these concepts with modern grasp and trajectory planners, to enable the robot to achieve a grasp which maximises the safety of the post-grasp trajectory, by minimising potential collision forces. We demonstrate the effectiveness of our approach through several experiments with both simulated and real robots.Comment: To be appeared in IEEE/RAS IROS 201

    Ground Robotic Hand Applications for the Space Program study (GRASP)

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    This document reports on a NASA-STDP effort to address research interests of the NASA Kennedy Space Center (KSC) through a study entitled, Ground Robotic-Hand Applications for the Space Program (GRASP). The primary objective of the GRASP study was to identify beneficial applications of specialized end-effectors and robotic hand devices for automating any ground operations which are performed at the Kennedy Space Center. Thus, operations for expendable vehicles, the Space Shuttle and its components, and all payloads were included in the study. Typical benefits of automating operations, or augmenting human operators performing physical tasks, include: reduced costs; enhanced safety and reliability; and reduced processing turnaround time

    Aerospace medicine and biology: A continuing bibliography with indexes (supplement 320)

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    This bibliography lists 125 reports, articles and other documents introduced into the NASA Scientific and Technical Information System during January, 1989. Subject coverage includes: aerospace medicine and psychology, life support systems and controlled environments, safety equipment, exobiology and extraterrestrial life, and flight crew behavior and performance

    Robot Arm Control System for Assisted Feeding of People with Disabilities in their Upper Limbs

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    This work proposes a robot arm control system for assisted feeding of people with reduced functionality in their upper limbs. It aims at improving their quality of life by helping users recover their independence when feeding, aided by the proposed system. Previous research presents solutions that often lack functionality to meet the user’s needs, such as a lack of emergency functions or the use of passive feeding techniques, due to the absence of adequate human-robot interaction. The proposed solution involves the design of an interface adapter between the robot arm and the spoon, for the correct transport and positioning of the food. Moreover, a PD-type electronic controller is implemented for the robot arm; it includes gravity compensation and trajectories defined from the detection of the user's position. Additionally, the system has two safety features: an emergency button and a proximity warning that triggers when undesired objects are too close to the robot arm. The proposed system was validated through position tests and interaction with people using rice and oatmeal. When carrying out the tests with rice, 80% success was obtained, while in the case of oatmeal, 98.9% success was achieved
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