Miscellaneous

Ishikawa Komuro Lab's high-speed robot hand performing impressive acts of dexterity and skillful manipulation.

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In this project the development of a mechanical hand with the basic objective to conclude a working prototype is proposed, which involves meeting with the mechanical design and physical construction of the hand.

The mechanism of the mechanical hand operated from the handle of the rod and rotated clockwise. The crank operates the central gear pinion mechanism that moves the crank shaft which transmits movement to each finger. This is transmitted from the little finger to the index finger. A connecting rod operates a lever mechanism to move the thumb.

This is not a robot in the strictest sense, although it is an excellent experiment to learn some anatomy and bio-inspired robotic designs.

The mechanical hand is an easy project to do with some paint or other materials can go quite professional and economical.

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Zipper-style cable carriers from igus were used to implement the finger movements for this robot hand from Louisiana Robotic Machines.

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Vincent Hayward
Professor, University of Pierre and Marie Curie, Paris, France

How the mechanics of the fingertip impact the tactile and gripping function of the hand

Abstract
In the recent years there have been a number of new studies pertaining to the detailed mechanics of the human fingertip, which will be surveyed. It is believed that the rather counterintuitive mechanical and tribological properties of this organ play a major role in the hand extremities' prehensile, sensory, and behavioral capabilities. Several examples will be described
in this seminar.


Speaker Biography
Vincent Hayward (Dr.-Ing., 1981 Univ. de Paris XI) was Postoctoral Fellow then Visiting Assistant Professor (1982) at Purdue University, and joined CNRS, France, as Charg? de Recherches in 1983. In 1987, he joined the Department of Electrical and Computer Engineering at McGill University as assistant, associate and then full professor (2006). He was the Director of the McGill Center for Intelligent Machines from 2001 to 2004. Hayward is interested in haptic device design and applications, perception, and robotics. Hayward co-founded spin-off companies and received several best paper and research awards. He is on editorial board of the ACM Transaction on Applied Perception and of the IEEE Transactions on Haptics and is a Fellow of the IEEE. As of 2008, he holds the "Chaire internationale d'haptique" at the Universit? Pierre et Marie Curie, Paris, France and is Professeur des Universit?s since 2011. StatCounter - Free Web Tracker and Counter

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Prosthetic hands that feed signals directly into the nervous system could soon let people who have lost an arm reconnect with the world through touch
Read more: "Natural sense of touch restored with bionic hand"

by Douglas Heaven
February 5, 2014

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This robotic hand is controlled by a glove with flexo sensors. As it can be seen in the video arduino was used. The flexo sensors were received by an Arduino then sent to a mac computer. Then the computer sends the information to another Arduino in charge of controlling the robotic hand.

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A Dexterous Hand operated using flex sensors; each finger is provided by flex sensor.

The flex sensors send analog signals to an Arduino UNO board connected to Simulink program that controls 5 servo motors on the robotic hand.

University of Jordan, Jun 2014.

Graduation project, department of Mechatronics engineering.

Done by:
Ahmad Alameer
Mohammad Alshawabkeh

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“Integrated Control of a Multi-fingered Hand and Arm Using Proximity Sensors on the Fingertips,” by Keisuke Koyama, Yosuke Suzuki, Aiguo Ming, and Makoto Shimojo from the University of Electro-Communications, Japan. Presented at ICRA 2016.

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“Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours,” by Lerrel Pinto and Abhinav Gupta from Carnegie Mellon University. Presented at ICRA 2016.

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Robots outperform humans in many ways, but we've always had them beat with our super-dexterous hands. Now advancements in robotics are changing that. The latest generation of robotic hands are scary precise and will soon challenge humans for the dexterity crown. This week we profile three different efforts to bring life-like robotic hands to reality.

We want to hear from you! If you could have either a robot with amazing language compression skills or really life-like human hands which would you choose and why? Let us know in the comments below!

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Having robots learn dexterous tasks requiring real-time hand-eye coordination is hard. Many tasks that we would consider simple, like hanging up a baseball cap on a rack, would be very challenging for most robot software. What's more, for a robot to learn each new task, it typically takes significant amounts of engineering time to program the robot. Pete Florence and Lucas Manuelli in the Robot Locomotion Group took a step closer to that goal with their work. Their paper will be presented at International Conference on Robotics and Automation (ICRA) in May in Paris.

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A new model-free framework reorients over 2000 diverse objects with both the hand facing upward and downward, in a step towards more human-like manipulation. Read the technical paper at https://taochenshh.github.io/projects/in-hand-reorientation
Winner of Best Paper at the 2021 Conference on Robot Learning

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