Simulation Based On-line Evaluation of Singulation Plans to Handle Perception Uncertainty in Robotic Bin Picking

Published

June 8, 2017

Author(s)

Nithyananda B. Kumbla, Shantanu Thakar, Krishnanand N. Kaipa, Jeremy Marvel, Satyandra K. Gupta

Abstract

Robotic bin picking requires using a perception system to estimate the posture of parts in the bin. The selected singulation plan should be robust with respect to perception uncertainties. If the estimated posture is significantly different from the actual posture, then the singulation plan may fail during execution. In such cases, the singulation process will need to be repeated. We are interested in selecting singulation plan that minimize the expected task completion time. In order to estimate the expected task completion time for a proposed singulation plan, we need to estimate the probability of success and the expected plan execution time. Robotic bin picking needs to be done in real-time. This means that candidate singulation plans need to be generated and evaluated in real-time. This paper presents an approach for utilizing computationally efficient simulations for on-line evaluation of singulation plans. Results from physical experiments match well with predictions obtained from simulations.

Proceedings Title

Manufacturing Science and Engineering Conference

Conference Dates

June 4-8, 2017

Conference Location

Los Angeles, CA, US

Pub Type

Conferences

Keywords

Robotic bin picking, robotic grasp planning, perception uncertainty

Citation

Kumbla, N. , Thakar, S. , Kaipa, K. , Marvel, J. and Gupta, S. (2017), Simulation Based On-line Evaluation of Singulation Plans to Handle Perception Uncertainty in Robotic Bin Picking, Manufacturing Science and Engineering Conference, Los Angeles, CA, US (Accessed April 24, 2024)