SBIR/STTR Research Award

HASEL Artificial Muscles for Human-Scale Robotics

Award identifier 0693709236b1d15601d9464ccf937d13bec39ae7f7d446db19e1cdcff30dcd22Awarding agency Department of Defense · Army

Award amount

$1,150,000

Program and phase

STTR · Phase II

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
ARTIMUS ROBOTICS INC
Proposal award date
2022-06-24
Contract end date
2024-06-23
UEI
C5GZNPTN7418
Solicitation number
20.B
Topic code
A20B-T007

Research abstract

While robotic systems have advanced in recent years, they are still dramatically outperformed by their biological counterparts. Robots are largely limited by the use of decades-old actuation paradigms such as electromagnetic motors which limit the complexity and degrees of freedom of such systems and making close interactions with humans unsafe. The realization of versatile, highly-maneuverable robots will rely on next-generation actuators that are scalable and tunable. These high-performance actuators will need to be tightly-integrated with sensory feedback and control systems to demonstrate robots with a high degrees-of-freedom. Recently-introduced Hydraulically Amplified Self-healing ELectrostatic (HASEL) actuators are a new class of soft, muscle-mimetic actuators that combine electrostatic and hydraulic operation to produce an electrically-powered actuator that is fast, strong, and efficient. These actuators can be rapidly produced in a variety of designs using an inexpensive and industrially-amenable fabrication process.    During Phase I of this STTR project, Artimus Robotics of Boulder, Colorado, the world-leader in the research, development, and manufacturing of HASEL actuators, partnered with the Bio-Inspired Perception and Robotics Laboratory (BPRL) of CU Boulder, an expert in robotics control theory and implementation, to explore the use of HASEL Artificial Muscles for Human-Scale Robotics. During Phase I, the team created a bio-inspired bicep-triceps demonstrator to successfully demonstrate the use of highly controllable HASEL actuators for human scale robotics. The team evaluated key criteria necessary for limb-based robots and highlighted the opportunities for customizable HASEL actuators in bio-inspired robotic morphologies. The team also used dynamic mode decomposition to develop high control of bio-inspired demonstrator. Lastly, a physics-based simulation of the model system was implemented and validated.    During Phase II of this STTR project, the same two entities will again collaborate to vastly expand the capabilities of HASEL Artificial Muscles for Human-Scale Robotics. A bio-inspired robotic ball-and-socket joint will be developed that utilizes families of HASEL actuators to mimic the functionality of a human shoulder. To realize this demonstrator, families of HASEL actuators will be developed in a variety of sizes and shapes, and key features of the actuators, such as energy density and self-sensing, will be improved. Additionally, more robust control laws for closed-loop control of families of HASEL actuators will be developed and implemented in hardware that can move out of a laboratory setting and into real-world applications. This control theory will be developed with an empirical framework built on Dynamic Mode Decomposition with control. The project will culminate in a demonstration of the highly controllable robotic shoulder that is capable of performing real world tasks with a variety of motions.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

8 SBIR/STTR records share this UEI (2020–2024). Reported award amounts total $3,811,373. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Defense, National Science Foundation, National Aeronautics and Space Administration, Department of Energy

Agency intelligence

Department of Defense

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