ICRA 2011 Paper Abstract


Paper ThA111.1

Bekiroglu, Yasemin (KTH), Huebner, Kai (Royal Inst. of Tech. (KTH), Stockholm), Kragic, Danica (KTH)

Integrating Grasp Planning with Online Stability Assessment Using Tactile Sensing

Scheduled for presentation during the Regular Sessions "Grasping, Tactile Sensing and Force Control" (ThA111), Thursday, May 12, 2011, 08:20−08:35, Room 5F

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on August 18, 2019

Keywords Force and Tactile Sensing, Grasping, Learning and Adaptive Systems


This paper presents an integration of grasp planning and online grasp stability assessment based on tactile data. We show how the uncertainty in grasp execution posterior to grasp planning can be dealt with using tactile sensing and machine learning techniques. The majority of the state-of-the art grasp planners demonstrate impressive results in simulation. However, these results are mostly based on perfect scene/object knowledge allowing for analytical measures to be employed. It is questionable how well these measures can be used in realistic scenarios where the information about the object and robot hand may be incomplete and/or uncertain. Thus, tactile and force-torque sensory information is necessary for successful online grasp stability assessment. We show how a grasp planner can be integrated with a probabilistic technique for grasp stability assessment in order to improve the hypotheses about suitable grasps on different types of objects. Experimental evaluation with a three-fingered robot hand equipped with tactile array sensors shows the feasibility and strength of the integrated approach.



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