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Human Like Motion Generation and Control for Humanoid�s Dual Arm Object Manipulation
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Human - Like Motion Generation and Control for Humanoids Dual Arm Object Manipulation

Category : Robotics

Sub Category : Super Droid Robot

Project Code : ITROB07

Project Abstract



The robot manipulation in human environment is a challenging issue because the human environment is complex, dynamic, unstructured, and difficult to perceive reliably. In order to implement promising robot applications in our daily lives, robots need to perform manipulation

tasks within human environment. Particularly for a humanoid robot, the manipulability of the objects is essential to assist the humans in human environment. This paper presents a method for manipulating an object with both arms of a humanoid robot. We focus on the generation of human-like movements by using the human motion capture data. Then, the control method based on the virtual dynamics model is proposed to control both the motion and force under the uniform control system. This method empowers the robot to perform the object manipulation

task including reaching, grasping, and moving an object in sequence. The proposed algorithm is implemented on a humanoid robot with independent joint controller at each motor; its performance is demonstrated by manipulating an object with both arms.


Existing System

Proposed System

    The system which used just controls the movement of the two arm robot automatically by using the keypad alone



Drawbacks of existing system:

        Ø  Paralysis people are unable use these technologies

Ø  Its take more time for processing

Ø  Complex to use

 Here different types of sensors used to control the two arm robot . This robot mainly developed for paralysis people

Motion detection, and MEMS sensors used to control the robot.

Advantages of proposed system:

Ø  Flexible to use

Ø  Less processing time

Ø  It is affordable and simple

Ø  High-level spinal cord injuries to control wheel chair.

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