UCLA researchers in the Department of Mechanical Engineering have developed a modular actuation system that can control robotic manipulators the size and form of the human hand with an unprecedented combination of speed, strength, and precision.
The design of humanoid robotic hands is limited by their small volume constraints. To achieve a desirable combination of dexterity and strength, many robotic hands use an “extrinsic” actuation scheme akin to the human hand, wherein muscles (actuators) located in the forearm control the fingers via tendons. Though many robotic systems have been developed based on this tendon (i.e. cable)-driven design concept, no robotic hand has yet achieved the collective performance of the human hand in terms of speed, strength, and precision of control. Thus, there remains a need for improvement in the design of compact robotic manipulators and actuation schemes.
Researchers led by Dr. Veronica J. Santos in the UCLA Biomechatronics Lab have developed a compact actuation module that can deliver fast, forceful, high-precision control of any tendon-driven robotic manipulator. The design is based on a rotary motor unit that can exert either uni- or bi-directional (“push-pull”) control of any tendon-driven rotational joint, thereby enabling independent, high-performance control of each individual active degree of freedom in a robotic hand, including a palmar flexion degree of freedom.
This technology has been prototyped and extensively tested by the research group of Dr. Veronica J. Santos in the UCLA Biomechatronics Laboratory. The test platform is comprised of the novel actuation unit in conjunction with a robotic finger.
Country | Type | Number | Dated | Case |
United States Of America | Issued Patent | 10,029,364 | 07/24/2018 | 2015-071 |
humanoid robotics, mechatronics, biomechatronics, animatronics, robotic actuation, prosthetic hands, powered prosthetics, myoelectric prostheses, bionics, bio-inspired, biomimetic, cable-driven robots, tendon-driven robots, artificial proprioception system