Tendon-driven robot
Tendon-driven robots (TDR) are robots whose limbs mimic biological musculoskeletal systems. They use plastic straps to mimic muscles and tendons. Such robots are claimed to move in a a "more natural" way than traditional robots that use rigid metal or plastic limbs controlled by geared actuators. TDRs can also help understand how biomechanics relates to embodied intelligence and cognition.[1]
Challenges include effectively modeling the human body’s complex motions and ensuring accurate positioning, given that the tendons are prone to stretch, which costs them strength and smooth operation.[1]
Existing systems
TDRs are the subject of considerable research and commercial systems followed.
Roboy
Roboy is four feet tall and has two tendon-driven arms. Researches annnounced plans to make Roboy’s design open-source, allowing anyone with a 3-D printer to build and tinker with their own version.[1][2]
Kenshiro
Kenshiro is a University of Tokyo robot announced in 2012. Kenshiro is somewhat larger than Roboy and includes 160 pulley-like muscles and aluminum bones that allow it to perform simple bends and poses.[1]
BioRob
Bionic Robonics offers BioRob, a tendon-driven robotic arm for industrial use. It has a flexible mechanical structure that allows it to pick up heavy payloads even though it weighs much less than the conventional robotic arm that the company also makes. BioRob’s light weight and flexible design is claimed to offer greater safety for use around human workers.[1]
Caliper
Caliper is a framework for the simulation of tendon-driven robots. It consists of a generic physics simulator capable of utilizing computer-aided design models and tools for simulation control, data acquisition and system investigation.[3]
See also
References
- ^ a b c d e Hope, Aviva (2013-09-27). "Some Robots Are Starting to Move More Like Humans | MIT Technology Review". Technologyreview.com. Retrieved 2013-10-07.
- ^ ROBOY video on YouTube
- ^ Attention: This template ({{cite doi}}) is deprecated. To cite the publication identified by doi:10.1109/IROS.2011.6094455, please use {{cite journal}} (if it was published in a bona fide academic journal, otherwise {{cite report}} with
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External links
- Rombokas, Eric; Theodorou, Evangelos; Malhotra, Mark; Todorov, Emo; Matsuoka, Yoky (2012). "Tendon-Driven Control of Biomechanical and Robotic Systems: A Path Integral Reinforcement Learning Approach" (PDF). International Conference on Robotics and Automatiion, IEEE. pp. 208–214.
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