Arm grasping for mobile robot transportation using Kinect sensor and kinematic analysis

In this paper, we describe how the grasping and placing strategies for 6 DOF arms of a H20 mobile robot can be supported to achieve a high precision performance for a safe transportation. The ability to grasp and manipulate the desired objects is a major problem with mobile robots. This ability requires finding the pose of these objects with respect to the arm followed by using an accurate kinematic model to move it from one pose to another precisely and in a safe path. In our work, single colored objects have been detected and localized using a Kinect sensor with a color segmentation algorithm. The forward kinematic model for our robotic arms has been found and validated and the solvability of inverse kinematic has been discussed. Also, the repeatability of the robotic arm has been tested using a laser sensor to find the accuracy of the arm movements.

[1]  Steffen Junginger,et al.  A fast method for mobile robot transportation in life science automation , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[2]  Steffen Junginger,et al.  An application of charging management for mobile robot transportation in laboratory environments , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[3]  Attawith Sudsang,et al.  Plane detection for Kinect image sequences , 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

[4]  Vincent Rabaud,et al.  Pose estimation of rigid transparent objects in transparent clutter , 2013, 2013 IEEE International Conference on Robotics and Automation.

[5]  Martin Hägele,et al.  Robotic home assistant Care-O-bot® 3 - product vision and innovation platform , 2009, 2009 IEEE Workshop on Advanced Robotics and its Social Impacts.

[6]  Hui Liu,et al.  A floyd-genetic algorithm based path planning system for mobile robots in laboratory automation , 2012, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[7]  J. Denavit,et al.  A kinematic notation for lower pair mechanisms based on matrices , 1955 .

[8]  E. Haemmerle,et al.  Vision-Guided Robot Control for 3D Object Recognition and Manipulation , 2008 .

[9]  Jörg Stückler,et al.  Real-Time 3D Perception and Efficient Grasp Planning for Everyday Manipulation Tasks , 2011, ECMR.

[10]  Takeo Kanade,et al.  Integrating grasp planning and visual feedback for reliable manipulation , 2009, 2009 9th IEEE-RAS International Conference on Humanoid Robots.

[11]  Steffen Junginger,et al.  A Fast Approach to Arm Blind Grasping and Placing for Mobile Robot Transportation in Laboratories , 2014 .

[12]  Rohit Gupta,et al.  Grasping Region Identification in Novel Objects Using Microsoft Kinect , 2012, ICONIP.

[13]  Lina,et al.  Fuzzy-Appearance Manifold and Fuzzy-Nearest Distance Calculation for Model-Less 3D Pose Estimation of Degraded Face Images , 2013 .

[14]  Dmitry Berenson,et al.  An optimization approach to planning for mobile manipulation , 2008, 2008 IEEE International Conference on Robotics and Automation.

[15]  Hui Liu,et al.  A common wireless remote control system for mobile robots in laboratory , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[16]  Hui Liu,et al.  A Floyd-Dijkstra hybrid application for mobile robot path planning in life science automation , 2012, 2012 IEEE International Conference on Automation Science and Engineering (CASE).

[17]  Kaspar Althoefer,et al.  Object pose estimation and tracking by fusing visual and tactile information , 2012, 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

[18]  Jamshed Iqbal,et al.  Modeling and Analysis of a 6 DOF Robotic Arm Manipulator , 2012 .

[19]  Jose-Juan Hernandez-Lopez,et al.  Detecting objects using color and depth segmentation with Kinect sensor , 2012 .

[20]  Takeo Kanade,et al.  Automated Construction of Robotic Manipulation Programs , 2010 .

[21]  Steffen Junginger,et al.  Mobile Robot for Life Science Automation , 2013 .

[22]  Francesc Moreno-Noguer,et al.  Using depth and appearance features for informed robot grasping of highly wrinkled clothes , 2012, 2012 IEEE International Conference on Robotics and Automation.

[23]  Horst Bischof,et al.  RoμNect: Hand mounted depth sensing using a commodity gaming sensor , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

[24]  Hsiung-Cheng Lin,et al.  Inverse kinematics analysis trajectory planning for a robot arm , 2011, 2011 8th Asian Control Conference (ASCC).

[25]  Hui Liu,et al.  A new method for mobile robot arm blind grasping using ultrasonic sensors and Artificial Neural Networks , 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).