Inertial parameters characterize an object’s motion under applied forces and can provide strong priors for planning and control of robotic actions to manipulate the object.
However, these parameters are not available a-prior in situations where a robot encounters new objects. In this paper, we describe and categorize the ways that a robot can identify an object’s inertial parameters.
We also discuss grasping and manipulation methods in which knowledge of inertial parameters is exploited in various ways.
We begin with a discussion of literature which investigates how humans estimate the inertial parameters of objects, to provide background and motivation for this area of robotics research.
We frame our discussion of the robotics literature in terms of three categories of estimation methods, according to the amount of interaction with the object: purely visual, exploratory, and fixed-object. Each category is analyzed and discussed.
To demonstrate the usefulness of inertial estimation research, we describe a number of grasping and manipulation applications that make use of the inertial parameters of objects.
The aim of the paper is to thoroughly review and categorize existing work in an important, but the under-explored, area of robotics research, present its background and applications and suggest future directions.
Note that this paper does not examine methods of identification of the robot’s inertial parameters, but rather the identification of inertial parameters of other objects which the robot is tasked with manipulating.
Robo Talks 2020 inviting everyone in the globe to participate in our Conference to share the views and ideas to showcase the knowledge of Robotics and Artificial Intelligence.
Conference: “Future of Artificial Intelligence, Automation & Robotics”
Important Dates: October 22-23, 2020.
Venue: Rome, ItalyFor details please visit our website: https://www.longdom.com/robotics
However, these parameters are not available a-prior in situations where a robot encounters new objects. In this paper, we describe and categorize the ways that a robot can identify an object’s inertial parameters.
We also discuss grasping and manipulation methods in which knowledge of inertial parameters is exploited in various ways.
We begin with a discussion of literature which investigates how humans estimate the inertial parameters of objects, to provide background and motivation for this area of robotics research.
We frame our discussion of the robotics literature in terms of three categories of estimation methods, according to the amount of interaction with the object: purely visual, exploratory, and fixed-object. Each category is analyzed and discussed.
To demonstrate the usefulness of inertial estimation research, we describe a number of grasping and manipulation applications that make use of the inertial parameters of objects.
The aim of the paper is to thoroughly review and categorize existing work in an important, but the under-explored, area of robotics research, present its background and applications and suggest future directions.
Note that this paper does not examine methods of identification of the robot’s inertial parameters, but rather the identification of inertial parameters of other objects which the robot is tasked with manipulating.
Robo Talks 2020 inviting everyone in the globe to participate in our Conference to share the views and ideas to showcase the knowledge of Robotics and Artificial Intelligence.
Conference: “Future of Artificial Intelligence, Automation & Robotics”
Important Dates: October 22-23, 2020.
Venue: Rome, ItalyFor details please visit our website: https://www.longdom.com/robotics
CONTACT:
killada P
longdom Conference Manager
Ph no: +3280075358
Whatsapp no: +32466903217
Mail id: roboticscongress@longdommeetings.com
CONTACT:
killada P
longdom Conference Manager
Ph no: +3280075358
Whatsapp no: +32466903217
Mail id: roboticscongress@longdommeetings.com
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