Comprehensive Review on Reaching and Grasping of Objects in Robotics
Qaid Mohammed Marwan, Shing Chyi Chua, Lee Chung Kwek
Abstract
SUMMARY Interaction between a robot and its environment requires perception about the environment, which helps the robot in making a clear decision about the object type and its location. After that, the end effector will be brought to the object’s location for grasping. There are many research studies on the reaching and grasping of objects using different techniques and mechanisms for increasing accuracy and robustness during grasping and reaching tasks. Thus, this paper presents an extensive review of research directions and topics of different approaches such as sensing, learning and gripping, which have been implemented within the current five years.
Topics & Concepts
Artificial intelligenceRoboticsRobustness (evolution)RobotComputer scienceObject (grammar)Computer visionPerceptionRobot end effectorHuman–computer interactionPsychologyChemistryNeuroscienceGeneBiochemistryRobot Manipulation and LearningSoft Robotics and ApplicationsModular Robots and Swarm Intelligence