Skip to feedback

Award Abstract # 1637656
NRI: Shape Morphing Arm Robotic (SMART) Manipulators for Simultaneous Safe Human-Robot Interaction and High Performance in Manufacturing

NSF Org: CMMI
Division of Civil, Mechanical, and Manufacturing Innovation
Recipient: OHIO STATE UNIVERSITY, THE
Initial Amendment Date: August 9, 2016
Latest Amendment Date: February 13, 2019
Award Number: 1637656
Award Instrument: Standard Grant
Program Manager: Bruce Kramer
CMMI
 Division of Civil, Mechanical, and Manufacturing Innovation
ENG
 Directorate for Engineering
Start Date: September 1, 2016
End Date: August 31, 2020 (Estimated)
Total Intended Award Amount: $977,778.00
Total Awarded Amount to Date: $1,003,778.00
Funds Obligated to Date: FY 2016 = $977,778.00
FY 2017 = $10,000.00

FY 2018 = $8,000.00

FY 2019 = $8,000.00
History of Investigator:
  • Hai-Jun Su (Principal Investigator)
    su.298@osu.edu
  • Marcelo Dapino (Co-Principal Investigator)
  • Junmin Wang (Co-Principal Investigator)
Recipient Sponsored Research Office: Ohio State University
1960 KENNY RD
COLUMBUS
OH  US  43210-1016
(614)688-8735
Sponsor Congressional District: 03
Primary Place of Performance: Ohio State University
201 west 19th ave., Room N350R
Columbus
OH  US  43210-1226
Primary Place of Performance
Congressional District:
03
Unique Entity Identifier (UEI): DLWBSLWAJWR1
Parent UEI: MN4MDDMN8529
NSF Program(s): NRI-National Robotics Initiati
Primary Program Source: 01001617DB NSF RESEARCH & RELATED ACTIVIT
01001718DB NSF RESEARCH & RELATED ACTIVIT

01001819DB NSF RESEARCH & RELATED ACTIVIT

01001920DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 082E, 116E, 6840, 7632, 8086, 9178, 9231, 9251, MANU
Program Element Code(s): 801300
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

Co-robots are robotic devices that work in collaboration with human partners. The current solutions for human-safe co-robots fail to offer the safety required in many manufacturing tasks. The shape morphing robotic manipulators are designed to be inherently safe by making the links flexible during robot motion. The upper and lower arms of the manipulators can change their stiffness in real-time by simple smart material actuators. The arms are relatively stiff at low speeds for maximum performance and highly flexible at high speeds for maximum safety. When a collision occurs, the flexible link deflects to limit the impact to the human operator. At low speeds, the flexible link is morphed to the high stiffness mode for maximum positioning accuracy. This research will significantly improve the design of safe co-robotic systems, which can benefit numerous fields, including the health care, automotive, construction and military sectors. It will help to reduce injuries in manufacturing industries and home/hospital nursing and improve efficiency of housekeeping.

Safety concerns with industrial robots present a serious technical barrier to practical co-robot applications. To address these safety challenges, this research offers a comprehensive solution by integrating complementary expertise in three areas: (i) shape morphing and design optimization of compliant mechanisms, (ii) electrically-controlled stiffness modulation with smart materials and (iii) performance maximization by optimal motion control. The shape morphing robotic manipulators can adapt their stiffness to the traveling speed by morphing their shape. They are designed for safe operation while maintaining their performance via shape morphing control and trajectory motion control. The shape morphing robotic manipulator offers several advantages over existing techniques in co-robots. It has the potential to create a paradigm shift towards "safe by design, performance by control" for human-safe co-robots.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

(Showing: 1 - 10 of 21)
Song, Siyang and She, Yu and Wang, Junmin and Su, Hai-Jun "Toward Tradeoff Between Impact Force Reduction and Maximum Safe Speed: Dynamic Parameter Optimization of Variable Stiffness Robots" Journal of Mechanisms and Robotics , v.12 , 2020 https://doi.org/10.1115/1.4046839 Citation Details
4. Yu She, Zhaoyuan Gu "A Continuously Tunable Stiffness Arm with Cable-Driven Mechanisms for Safe Human-Robot Interactions" ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference , 2020 Citation Details
Gao, Yuan and Huang, Xiguang and Mann, Ishan Singh and Su, Hai-Jun "A Novel Variable Stiffness Compliant Robotic Gripper Based on Layer Jamming" Journal of Mechanisms and Robotics , v.12 , 2020 https://doi.org/10.1115/1.4047156 Citation Details
Hu, R. and Venkiteswaran, V. and Su, H.-J. "A Variable Stiffness Robotic Arm Using Linearly Actuated Compliant Parallel Guided Mechanism" IFToMM Symposium on Mechanism Design for Robotics , 2019 https://doi.org/10.1007/978-3-030-00365-4_5 Citation Details
Li, Na and Su, Hai-Jun and Zhang, Xian-Peng "Accuracy Assessment of Pseudo-Rigid-Body Model for Dynamic Analysis of Compliant Mechanisms" Journal of Mechanisms and Robotics , v.9 , 2017 10.1115/1.4037186 Citation Details
Mikol, C and Su, HJ "An Actively Controlled Variable Stiffness Structure via Layer Jamming and Pneumatic Actuation" Proceedings of 2019 International Conference on Robotics and Automation , 2019 Citation Details
Morrison, T and L, C and Pei, X and Su, HJ "A Novel Rotating Beam Link for Variable Stiffness Robotic Arms" Proceedings of 2019 International Conference on Robotics and Automation , 2019 Citation Details
Morrison, Tyler and Su, Hai-Jun "Stiffness modeling of a variable stiffness compliant link" Mechanism and Machine Theory , v.153 , 2020 https://doi.org/10.1016/j.mechmachtheory.2020.104021 Citation Details
She, Y. "Pseudo-Rigid-Body Models for Dynamics of Compliant Robotic Links" Proceedings of ASME 2017 International Design Engineering Technical Conferences , 2017 Citation Details
She, Yu and Meng, Deshan and Cui, Junxiao and Su, Hai-Jun "On the impact force of human-robot interaction: Joint compliance vs. link compliance" Proceedings of IEEE 2017 International Conference on Robotics and Automation (ICRA) , 2017 10.1109/ICRA.2017.7989795 Citation Details
She, Yu and Meng, Deshan and Su, Hai-Jun and Song, Siyang and Wang, Junmin "Introducing mass parameters to Pseudo?Rigid?Body models for precisely predicting dynamics of compliant mechanisms" Mechanism and Machine Theory , v.126 , 2018 10.1016/j.mechmachtheory.2018.04.005 Citation Details
(Showing: 1 - 10 of 21)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The goal of this award is to develop an integrated design and control framework of variable stiffness robots for enhancing safety in human-robot collaborations while maintaining high performance in industrial manufacturing. In terms of intellectual merits, the project team have produced (1) novel design concepts of variable stiffness robotic arms including: shape morphing of flat beams, smart clamp jamming, rotating beams and layer jamming structures, (2) an experimentally verified design framework of compliant robotic links that incorporates advanced theoretical models such as pseudo-rigid-body models for dynamic analysis of compliant mechanisms, chained composite models for smart actuators and specific guidelines of trading-off safety and performance via tunable stiffness, (3) a predictive simulation platform for physical human-robot interactions that is supported by dynamics of compliant robots, an mechanical impact contact model, and human head dynamics, (4) practical applications of these concepts and theoretical models of structures to design of soft robot including robot arms, robotic grippers and continuum robots with a variable stiffness. Some of these robots achieve a very high ratio of stiffness variation that benefits numerous applications in manufacturing and others. This high stiffness ratio is critical to reduce the impact force during human-robot interactions while maintaining a high performance.

In terms of broader impacts, the design models and tools developed in this award will significantly extend our ability to design and control variable stiffness robots that play a vital role in many applications ranging from manufacturing to medicine, where both safety and performance criteria are to be met. These design tools and models have been disseminated to the broader research community via distribution of computer codes, simulation model parameters through journal article publications, patens, organizing/participating conference workshops as well as presenting at international and national conferences and giving invited talks to many academic institutions. We have also made significant efforts to commercialize some research outcomes. As a lineage of this project, a new project sponsored by NSF’s Partnership for Innovation program has been awarded to PI to commercialize the variable stiffness robotic gripper concept produced in this award. Moreover, through supplemental support, several undergraduate research assistants have been supported to assist PIs and graduate students on the research tasks. To outreach K-12 students, the project team have engaged at least five high school students in the research project. One high student accomplished a senior capstone research project under PI’s supervision.

 


Last Modified: 10/26/2020
Modified by: Hai-Jun Su

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page