Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations

Sensor gloves are popular input devices for a large variety of applications including health monitoring, control of music instruments, learning sign language, dexterous computer interfaces, and tele-operating robot hands. Many commercial products as well as low-cost open source projects have been developed. We discuss here how low-cost (approx. 250 EUROs) sensor gloves with force feedback can be build, provide an open source software interface for Matlab and present first results in learning object manipulation skills through imitation learning on the humanoid robot iCub.Comment: 3 pages, 3 figures. Workshop paper of the International Conference on Robotics and Automation (ICRA 2015

Glove for Augmented and Virtual Reality: Glove for Augmented and Virtual Reality

This work is focused on developing and prototyping a haptic feedback system glove, which will be able to enable interaction of real arm movements with 3D computer models. This glove will be developed using only IMU for human hand data gathering. This approach should increase accuracy of device and give additional flexibility in interaction with different object. For this purpose, IMU should be tested and calibrated using complementary filters. The design and implementation of hardware and software as well as proof-of-concept experiments are presented

Design of Digital Gloves with Feedback for VR

© 2018 IEEE. This article describes the first steps in the development of a low-cost digital sensory glove that designed for use in virtual reality systems especially. Existing concepts of gloves differ in features and design, they have various functions, including feedback, tactile feedback to the electric discharge, a feeling of finger bending, finger grip strength and prediction of action and three-dimensional spatial positioning - to improve sensation and practical experience in virtual reality. Manual dynamic perception and freedom of action, common in the real world, provide instant information about objects in the virtual world. Digital gloves act not only as a remote control in VR, but also provide physical feedback for the user when they come in contact with virtual objects. This article presented an own design for inexpensive gloves that allow for proximal and distal finger joint movements, as well as position/orientation determination with an inertial measuring unit. These sensors and tactile feedback caused by the vibration patterns of the coins at the fingertips are integrated into a wireless, easy-to-use and open-source system. The design of hardware, as well as experiment plans for proof of concept, is presented

Smart Glove for Augmented and Virtual Reality

This research work is carried out on designing and prototyping a smart glove, which can conduct 3D interaction with computer MATLAB model in real time. The smart glove is constructed with only inertial measurement units for gathering and achieving human hand movement position data. This application will support the accuracy of the device and provide additional flexibilities for human interaction with other objects. The purpose of our design is to provide a smart glove with low price (less than 100€) for researchers in different institutions to develop their research projects with virtual and augmented reality. The design of hardware and software, as well as prototyping experiments is also presented

Teleoperation robot for arms motions

Eesti keeles: Robootika kiire areng toob kaasa vajaduse tarkadeks robotiteks. Veel ei ole loodud lahendust, mis oleks sama kohanemisvõimeline kui inimene. Seepärast on praegune parim lahendus luua vahendid inimeste ning robotite koostööks. Paraku ei kasutata potentsiaali piisavalt ära ning paljud robotite juhtimissüsteemid on kohmakad ning ebamugavad. See motiveerib looma süsteemi, mida oleks kerge ja mugav juhtida. Lõputöö keskendub teiste sarnaste lahenduste ning vajalike töövahendite tutvustamisele. Peamiseks nõudeks on manipulaatori vaba liikumine. Selle tulemusena valmis kaugjuhtimise lahendus, kus robotmanipulaator liigub vastavalt käte liikumiskiirusele ning pöördenurgale. In English: The rapid development of robotics raises the need for smart robots. There are no solutions yet that are as adaptable as a human beings. Thus, the current best solution is to create solutions for collaborations of humans and robots. Unfortunately a lot of potential is wasted, making controlling systems awkward and aggravating. It gives motivation to create a system that is easy and comfortable to maneuver. The bachelor’s thesis focuses on other similar solutions and gives an overview about used tools and modules. The main requirement is free movement of a manipulator. As the result, the teleoperation solution is made, where the robot manipulator moves according to the speed of movement of the hands and follows the angle of rotation

An Instrumented Glove for Restoring Sensorimotor Function of the Hand through Augmented Sensory Feedback

The loss of sensitivity of the upper limb due to neurological injuries severely limits the ability to manipulate objects, hindering personal independence. Non-invasive augmented sensory feedback techniques are used to promote neural plasticity hence to restore the grasping function. This work presents a wearable device for restoring sensorimotor hand functions based on Discrete Event-driven Sensory Control policy. It consists of an instrumented glove that, relying on piezoelectric sensors, delivers short-lasting vibrotactile stimuli synchronously with the relevant mechanical events (i.e., contact and release) of the manipulation. We first performed a feasibility study on healthy participants (20) that showed overall good performances of the device, with touch-event detection accuracy of 96.2% and a response delay of 22 ms. Later, we pilot tested it on two participants with limited sensorimotor functions. When using the device, they improved their hand motor coordination while performing tests for hand motor coordination assessment (i.e., pick and place test, pick and lift test). In particular, they exhibited more coordinated temporal correlations between grip force and load force profiles and enhanced performances when transferring objects, quantitatively proving the effectiveness of the device