Award Abstract # 2130793
Collaborative Research: Magnetically-Controlled Modules with Reconfigurable Self-Assembly and Disassembly

NSF Org: IIS
Division of Information & Intelligent Systems
Recipient: UNIVERSITY OF HOUSTON SYSTEM
Initial Amendment Date: September 2, 2021
Latest Amendment Date: September 2, 2021
Award Number: 2130793
Award Instrument: Standard Grant
Program Manager: Cang Ye
cye@nsf.gov
 (703)292-4702
IIS
 Division of Information & Intelligent Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: January 1, 2022
End Date: December 31, 2025 (Estimated)
Total Intended Award Amount: $299,963.00
Total Awarded Amount to Date: $299,963.00
Funds Obligated to Date: FY 2021 = $299,963.00
History of Investigator:
  • Aaron Becker (Principal Investigator)
    atbecker@uh.edu
Recipient Sponsored Research Office: University of Houston
4300 MARTIN LUTHER KING BLVD
HOUSTON
TX  US  77204-3067
(713)743-5773
Sponsor Congressional District: 18
Primary Place of Performance: University of Houston
4726 Calhoun Rd, Engineering Bui
Houston
TX  US  77204-4005
Primary Place of Performance
Congressional District:
18
Unique Entity Identifier (UEI): QKWEF8XLMTT3
Parent UEI:
NSF Program(s): FRR-Foundationl Rsrch Robotics
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 6840
Program Element Code(s): 144Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Small scale manufacturing in real-time faces unique challenges. Components must be assembled inside or in close proximity to existing structures, such as inside the vasculature of an animal, inside a microfluidic system, or around soldered semiconductor components. This project will develop a new small-scale manufacturing method with the precision of modules, the reusability of Legos, and the self-assembly of DNA ? but one that is controllable by an external magnetic field. Existing reconfigurable modular systems either use complex intelligent subunits, or are slow, usually only actuating a small number of modules at a time. There is an urgent need for robust, controllable, and efficient methods to overcome the existing issues regarding modular robotics and controllable self-reconfiguration. This award will design an innovative reconfigurable modular robotic system that uses actuatable subcomponents that can be actively assembled or disassembled on command. The modular subunits contain permanent magnets and are actuated using external magnetic fields generated by an electromagnetic system. The subunits can be moved in different motion modes that evolve dynamically as subunits assemble into complex modular structures. The issues addressed by this project are at the interface of small-scale robotics, control theory, design & manufacturing, and materials science, and hold exciting prospects for fundamental research with the potential for diverse applications. The project will provide tools and guidelines that will help advance current and future modular robotic systems. If successful, these robots can be used to perform targeted drug delivery, improve several healthcare procedures that utilize stents, and broaden microscale manufacturing prospects to produce more complex and dynamic systems.

This research program integrates theoretical and experimental work with the following objectives: (1: Control) Fabricate scalable and magnetically controllable modular subunits through high resolution 3D printing techniques and embed bipolar permanent magnets to enable programmable spatial variation of magnetic properties to create heterogeneous behavior among subunits under a single global control input; design control techniques for steering components and assemblies; controllers for disassembly, (2: Applications) Manipulate modular subunits to assemble plugs, encapsulate objects, approximate shapes, and build scaffolds. (3: Multiplex) Advance algorithms for building factories that greatly speed up the assembly rate of modules into desired shapes and configurations. (4: Hardware) Fabricate an operational small-scale manipulation prototypical system that will integrate the other objectives' results and demonstrate a 3D small-scale fabrication system.

This project is supported by the cross-directorate Foundational Research in Robotics program, jointly managed and funded by the Directorates for Engineering (ENG) and Computer and Information Science and Engineering (CISE).

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 18)
Baez, Victor M and Navkar, Nikhil and Becker, Aaron T "An Analytic Solution to the 3D CSC Dubins Path Problem" , 2024 https://doi.org/10.1109/ICRA57147.2024.10611360 Citation Details
Baez, Victor M and Zhao, Haoran and Abdurahiman, Nihal and Navkar, Nikhil V and Becker, Aaron T "Minimum-Time Planar Paths with Up to Two Constant Acceleration Inputs and L2 Velocity and Acceleration Constraints" , 2024 https://doi.org/10.23919/ACC60939.2024.10644498 Citation Details
Bernardini, Francesco and Becker, Aaron T "Multi-Objective Heuristics For Network Construction In An Obstacle-Dense Environment" , 2024 https://doi.org/10.1109/CASE59546.2024.10711579 Citation Details
Bernardini, Francesco and Biediger, Daniel and Pineda, Ileana and Kleist, Linda and Becker, Aaron T "Strongly-Connected Minimal-Cost Radio-Networks Among Fixed Terminals Using Mobile Relays and Avoiding No-Transmission Zones" , 2024 https://doi.org/10.1109/CASE59546.2024.10711430 Citation Details
Bernardini, Francesco and Garcia, Javier and Taylor, Conlan C. and Leclerc, Julien and Becker, Aaron T. "Adapting Unsigned Signals Between Triaxial Antennas For Use In Magnetic Induction Localization" 2023 IEEE Texas Symposium on Wireless & Microwave Circuits and Systems , 2023 Citation Details
Bhattacharjee, Anuruddha and Lu, Yitong and Becker, Aaron T. and Kim, MinJun "Magnetically Controlled Modular Cubes With Reconfigurable Self-Assembly and Disassembly" IEEE Transactions on Robotics , v.38 , 2022 https://doi.org/10.1109/TRO.2021.3114607 Citation Details
Biediger, Daniel and Becker, Aaron T. "Threat-Aware Selection for Target Engagement" 18th IEEE International Conference on Automation Science and Engineering, CASE , 2022 https://doi.org/10.1109/CASE49997.2022.9926456 Citation Details
Blumenberg, Patrick and Schmidt, Arne and Becker, Aaron T. "Computing Motion Plans for Assembling Particles with Global Control" 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2023 https://doi.org/10.1109/IROS55552.2023.10341556 Citation Details
Garcia, Javier and Lewis, Ryan and Shahsavar, Mohammadreza and Becker, Aaron T and Leclerc, Julien "Detection and Tracking of Underwater Pipes using a Magnetic Camera" , 2024 https://doi.org/10.1109/CASE59546.2024.10711684 Citation Details
Garcia, Javier and Yannuzzi, Michael and Kramer, Peter and Rieck, Christian and Becker, Aaron T. "Connected Reconfiguration of Polyominoes Amid Obstacles using RRT" 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2022 https://doi.org/10.1109/IROS47612.2022.9981184 Citation Details
Garcia, Javier and Yannuzzi, Michael and Kramer, Peter and Rieck, Christian and Fekete, Sándor P and Becker, Aaron T "Reconfiguration of a 2D Structure Using Spatio-Temporal Planning and Load Transferring" , 2024 https://doi.org/10.1109/ICRA57147.2024.10611057 Citation Details
(Showing: 1 - 10 of 18)

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