Imperial College London

DrIldarFarkhatdinov

Faculty of EngineeringDepartment of Bioengineering

Honorary Lecturer
 
 
 
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Contact

 

i.farkhatdinov Website

 
 
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Location

 

Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

77 results found

Skvortsova V, Nedelchev S, Brown J, Farkhatdinov I, Gaponov Iet al., 2022, Design, characterisation and validation of a haptic interface based on twisted string actuation, FRONTIERS IN ROBOTICS AND AI, Vol: 9, ISSN: 2296-9144

Journal article

Perez NP, Eden J, Ivanova E, Burdet E, Farkhatdinov Iet al., 2022, Is a Robot Needed to Modify Human Effort in Bimanual Tracking?, IEEE ROBOTICS AND AUTOMATION LETTERS, Vol: 7, Pages: 8069-8075, ISSN: 2377-3766

Journal article

Farkhatdinov I, Garnier A, Arichi T, Bleuler H, Burdet Eet al., 2022, Evaluation of a Portable fMRI Compatible Robotic Wrist Interface., Annu Int Conf IEEE Eng Med Biol Soc, Vol: 2022, Pages: 2535-2539

This paper presents evaluation of a portable fMRI compatible haptic interface to study the brain correlates of sensorimotor control during wrist motion. The interface is actuated by a shielded DC motor located more than 2 m away from the 3T MR scanner's bore. The achievable wrist torque of the interface is up to 2 Nm, and the interface provides sufficient bandwidth for human motor control experiments. Ergonomic and fMRI compatibility testing with a 3T MR scanner showed that the interface is MR safe, compatible with a strong static magnetic field and radio frequency emission, and its operation does not affect the quality of the acquired images. Clinical Relevance- We present and evaluate an fMRI compatible robotic interface to study human wrist joint motor function.

Journal article

Abeywardena S, Anwar E, Miller S, Farkhatdinov Iet al., 2022, Human balance augmentation via a supernumerary robotic tail., Annu Int Conf IEEE Eng Med Biol Soc, Vol: 2022, Pages: 2878-2881

Humans are intrinsically unstable in quiet stance from a rigid body system viewpoint; however, they maintain balance thanks to neuro-muscular sensory properties whilst still exhibiting postural sway characteristics. This work intro-duces a one-degree-of-freedom supernumerary tail for balance augmentation in the sagittal plane to negate anterior-posterior postural sway. Simulations showed that the tail could success-fully balance a human with impaired ankle stiffness and neural control. Insights into tail design and control were made; namely, to minimise muscular load the tail must have a significant component in the direction of the muscle, mounting location of the tail is significant in maximising inertial properties for balance augmentation and that adaptive control of the tail will be best suited for different loads held by a wearer.

Journal article

Perez NP, Eden J, Burdet E, Farkhatdinov I, Takagi Aet al., 2022, Lateralization of Impedance Control in Dynamic Versus Static Bimanual Tasks., Annu Int Conf IEEE Eng Med Biol Soc, Vol: 2022, Pages: 785-789

In activities of daily living that require bimanual coordination, humans often assign a role to each hand. How do task requirements affect this role assignment? To address this question, we investigated how healthy right-handed participants bimanually manipulated a static or dynamic virtual object using wrist flexion/extension while receiving haptic feedback through the interacting object's torque. On selected trials, the object shook strongly to destabilize the bimanual grip. Our results show that participants reacted to the shaking by increasing their wrist co-contraction. Unlike in previous work, handedness was not the determining factor in choosing which wrist to co-contract to stabilize the object. However, each participant preferred to co-contract one hand over the other, a choice that was consistent for both the static and dynamic objects. While role allocation did not seem to be affected by task requirements, it may have resulted in different motor behaviours as indicated by the changes in the object torque. Further investigation is needed to elucidate the factors that determine the preference in stabilizing with either the dominant or non-dominant hand.

Journal article

Saitis C, Farkhatdinov I, Papetti S, 2022, Preface, ISBN: 9783031150180

Book

Stone M, Orlov P, Farkhatdinov I, 2022, Design and Preliminary In-Classroom Evaluation of a Low-Cost Educational Mobile Robot, 23rd Conference on Towards Autonomous Robotic Systems (TAROS), Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, Pages: 128-136, ISSN: 0302-9743

Conference paper

Brown JP, Farkhatdinov I, 2022, Using Audio Recordings to Characterise a Soft Haptic Joystick, Pages: 102-111, ISSN: 0302-9743

The principle of particle jamming, a physical effect where fluids can be made to change their hardness at will, has many applications in engineering. Previous research has investigated combining this change of hardness with other haptic effects, resulting in a technology that can render vibration, hardness/softness and shape. This paper proceeds to describe the application of this technology to a soft haptic joystick handle for use in interactive games and telerobotics scenarios. Dynamically generated sound waveforms are used to drive vibrations inside the handle, and a microphone records these as they reach the tip of the handle under different jamming conditions. Audio frequency analysis is then used to analyse the behaviour of the resulting vibrations. This analysis shows that vibration is lowest under a strong vacuum, confirming previous observations that increasing the hardness of the particle fluid has the effect of restricting the displacement of the source vibrations. Moreover, frequency of vibration remained broadly stable in both hard and soft states again confirming previous observations. These results, obtained with a fundamentally different haptic device and sound-based instrumentation, necessitate the conclusion that the behaviour of particle jamming controlled vibration is repeatable and controllable regardless of the physical configuration in which it is used.

Conference paper

Soave F, Bryan-Kinns N, Farkhatdinov I, 2022, Designing Audio Feedback to Enhance Motion Perception in Virtual Reality, Pages: 92-101, ISSN: 0302-9743

We present our study on the design and evaluation of sound samples for motion perception in a Virtual Reality (VR) application. In previous study we found our sound samples to be incoherent with the VR visual channel. In current research we designed four new samples and tested them adapting standard subjective evaluation protocols to our needs. Twenty participants participated to the study and rated each animation in Realism, Matching and Plausibility. Significant differences were found among the sounds and discussion rose on the need for realism in VR applications as well as users’ expectation and how it could influence their experience.

Conference paper

Perez NP, Eden J, Ivanova E, Burdet E, Farkhatdinov Iet al., 2022, Is a robot needed to modify human effort in bimanual tracking?, ISSN: 2155-1774

Robotic bimanual training can benefit from understanding how to modify human motor effort in bimanual tasks. We addressed this issue by carrying out a study to investigate whether and how penalizing the use of one hand could alter the hands' effort distribution. Actuated haptic perturbations and alterations of the visual feedback of the right hand were tested on a bimanual tracking task with 16 healthy right-handed participants. For each feedback modality (haptic or visual), both a disturbance and a perturbation requiring additional effort from the right hand were implemented. The results showed that the participants were able to adjust to these four perturbations, and perceived them correctly as something that disturbed the dominant hand. Contrary to our expectations, the bimanual effort distribution changes induced by the haptic perturbations were not uniform across subjects. However, the visual disturbance induced most participants to use only their unperturbed left hand (with only 2/16 participants reporting a different behaviour). This suggests that a visual disturbance could be used to alter the effort distribution among the two hands. Clinical validation of these findings on hemiplegic patients may help simplify the design of robotic training interfaces.

Conference paper

Omarali B, Palermo F, Althoefer K, Valle M, Farkhatdinov Iet al., 2022, Tactile Classification of Object Materials for Virtual Reality based Robot Teleoperation, Pages: 9288-9294, ISSN: 1050-4729

This work presents a method for tactile classification of materials for virtual reality (VR) based robot teleoperation. In our system, a human-operator uses a remotely controlled robot-manipulator with an optical fibre-based tactile and proximity sensor to scan surfaces of objects in a remote environment. Tactile and proximity data and the robot's end-effector state feedback are used for the classification of objects' materials which are then visualized in the VR reconstruction of the remote environment for each object. Machine learning techniques such as random forest, convolutional neural and multi-modal convolutional neural networks were used for material classification. The proposed system and methods were tested with five different materials and classification accuracy of 90 % and more was achieved. The results of material classification were successfully exploited for visualising the remote scene in the VR interface to provide more information to the human-operator.

Conference paper

Vitanov I, Farkhatdinov I, Denoun B, Palermo F, Otaran A, Brown J, Omarali B, Abrar T, Hansard M, Oh C, Poslad S, Liu C, Godaba H, Zhang K, Jamone L, Althoefer Ket al., 2021, A Suite of Robotic Solutions for Nuclear Waste Decommissioning, ROBOTICS, Vol: 10

Journal article

Din AR, Althoefer K, Farkhatdinov I, Brown J, Morgan C, Shahdad Set al., 2021, Innovation in the time of SARS-CoV-2: A collaborative journey between NHS clinicians, engineers, academics and industry, SURGEON-JOURNAL OF THE ROYAL COLLEGES OF SURGEONS OF EDINBURGH AND IRELAND, Vol: 19, Pages: E281-E288, ISSN: 1479-666X

Journal article

Otaran A, Farkhatdinov I, 2021, Haptic ankle platform for interactive walking in virtual reality., IEEE Trans Vis Comput Graph, Vol: PP

This paper presents an impedance type ankle haptic interface for providing users with an immersive navigation experience in virtual reality (VR). The ankle platform actuated by an electric motor with feedback control enables the use of foot-tapping gestures to create a walking experience similar to a real one and to haptically render different types of walking terrains. Experimental studies demonstrated that the interface can be easily used to generate virtual walking and it is capable to render terrains such as hard and soft surfaces, and multi-layer complex dynamic terrains. The designed system is a seated-type VR locomotion interface, therefore allowing its user to maintain a stable seated posture to comfortably navigate a virtual scene.

Journal article

Slonina Z, Bonzini AA, Brown J, Wang S, Farkhatdinov I, Althoefer K, Jamone L, Versace Eet al., 2021, Using RoboChick to Identify the Behavioral Features Promoting Social Interactions

Studies of social behaviors in animals are faced with various methodological difficulties, which can be addressed by using controlled artificial social agents. Previous studies have shown that various animal species interact with passive replicas or interactive robots that mimic their conspecifics. In the case of chickens, filial attachment (imprinting) to robots is observed in young chicks. However, the features and functions of the robots that maximize the efficiency of chicken-robot attachment have not yet been identified. Therefore, we designed RoboChick, a simple robot that can be easily customized with different features. Further, we developed a protocol for assessing the attractiveness of each feature. In the current study, we tested the attractiveness of two RoboChick features during robot-chick interactions: the presence of flashing lights and vocalizations in response to chick interactions. Our proposed protocol proved suitable for assessing the efficacy of the features. RoboChick, which is open and modular, can be easily reproduced by other research groups and adapted to test different features in different experimental conditions.

Conference paper

Palermo F, Rincon-Ardila L, Oh C, Althoefer K, Poslad S, Venture G, Farkhatdinov Iet al., 2021, Multi-modal robotic visual-tactile localisation and detection of surface cracks, Pages: 1806-1811, ISSN: 2161-8070

We present and validate a method to detect surface cracks with visual and tactile sensing. The proposed algorithm localises cracks in remote environments through videos/photos taken by an on-board robot camera. The identified areas of interest are then explored by a robot with a tactile sensor. Faster R-CNN object detection is used for identifying the location of potential cracks. Random forest classifier is used for tactile identification of the cracks to confirm their presences. Offline and online experiments to compare vision only and combined vision and tactile based crack detection are demonstrated. Two experiments are developed to test the efficiency of the multi-modal approach: online accuracy detection and time required to explore a surface and localise a crack. Exploring a cracked surface using combined visual and tactile modalities required four times less time than using the tactile modality only. The accuracy of detection was also improved with the combination of the two modalities. This approach may be implemented also in extreme environments since gamma radiation does not interfere with the sensing mechanism of fibre optic-based sensors.

Conference paper

Ratcliffe J, Soave F, Bryan-Kinns N, Tokarchuk L, Farkhatdinov Iet al., 2021, Extended reality (XR) remote research: a survey of drawbacks and opportunities, CHI '21: CHI Conference on Human Factors in Computing Systems, Publisher: ACM, Pages: 1-13

Extended Reality (XR) technology - such as virtual and augmented reality - is now widely used in Human Computer Interaction (HCI), social science and psychology experimentation. However, these experiments are predominantly deployed in-lab with a co-present researcher. Remote experiments, without co-present researchers, have not flourished, despite the success of remote approaches for non-XR investigations. This paper summarises findings from a 30-item survey of 46 XR researchers to understand perceived limitations and benefits of remote XR experimentation. Our thematic analysis identifies concerns common with non-XR remote research, such as participant recruitment, as well as XR-specific issues, including safety and hardware variability. We identify potential positive affordances of XR technology, including leveraging data collection functionalities builtin to HMDs (e.g. hand, gaze tracking) and the portability and reproducibility of an experimental setting. We suggest that XR technology could be conceptualised as an interactive technology and a capable data-collection device suited for remote experimentation.

Conference paper

Huang HY, Farkhatdinov I, Arami A, Bouri M, Burdet Eet al., 2021, Cable-driven robotic interface for lower limb neuromechanics identification, IEEE Transactions on Biomedical Engineering, Vol: 68, Pages: 461-469, ISSN: 0018-9294

This paper presents a versatile cable-driven robotic interface to investigate the single-joint joint neuromechanics of the hip, knee and ankle in the sagittal plane. This endpoint-based interface offers highly dynamic interaction and accurate position control (as is typically required for neuromechanics identification), and provides measurements of position, interaction force and EMG of leg muscles. It can be used with the subject upright, corresponding to a natural posture during walking or standing, and does not impose kinematic constraints on a joint, in contrast to existing interfaces. Mechanical evaluations demonstrated that the interface yields a rigidity above 500 N/m with low viscosity. Tests with a rigid dummy leg and linear springs show that it can identify the mechanical impedance of a limb accurately. A smooth perturbation is developed and tested with a human subject, which can be used to estimate the hip neuromechanics.

Journal article

Sun F, Zang W, Huang H, Farkhatdinov I, Li Yet al., 2021, Accelerometer-Based Key Generation and Distribution Method for Wearable IoT Devices, IEEE INTERNET OF THINGS JOURNAL, Vol: 8, Pages: 1636-1650, ISSN: 2327-4662

Journal article

Brown J, Farkhatdinov I, 2021, Shape-Changing Touch Pad based on Particle Jamming and Vibration, IEEE World Haptics Conference (WHC), Publisher: IEEE, Pages: 337-337

Conference paper

Omarali B, Althoefer K, Mastrogiovanni F, Valle M, Farkhatdinov Iet al., 2021, Workspace Scaling and Rate Mode Control for Virtual Reality based Robot Teleoperation, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Publisher: IEEE, Pages: 607-612, ISSN: 1062-922X

Conference paper

Brown J, Farkhatdinov I, 2021, A Soft, Vibrotactile, Shape-Changing Joystick for Telerobotics, IEEE World Haptics Conference (WHC), Publisher: IEEE, Pages: 1158-1158

Conference paper

Ratcliffe J, Soave F, Hoover M, Ortega FR, Bryan-Kinns N, Tokarchuk L, Farkhatdinov Iet al., 2021, Remote XR Studies: Exploring Three Key Challenges of Remote XR Experimentation, CHI Conference on Human Factors in Computing Systems, Publisher: ASSOC COMPUTING MACHINERY

Conference paper

Otaran A, Farkhatdinov I, 2021, Walking-in-Place Foot Interface for Locomotion Control and Telepresence of Humanoid Robots, 20th IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), Publisher: IEEE, Pages: 453-458, ISSN: 2164-0572

Conference paper

Otaran A, Farkhatdinov I, 2021, A Short Description of an Ankle-Actuated Seated VR Locomotion Interface, 28th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), Publisher: IEEE, Pages: 64-66

Conference paper

Soave F, Kumar AP, Bryan-Kinns N, Farkhatdinov Iet al., 2021, Exploring Terminology for Perception of Motion in Virtual Reality, ACM Designing Interactive Systems Conference (DIS), Publisher: ASSOC COMPUTING MACHINERY, Pages: 171-179

Conference paper

Otaran A, Farkhatdinov I, 2021, A Cable-Driven Walking Interface with Haptic Feedback for Seated VR, IEEE World Haptics Conference (WHC), Publisher: IEEE, Pages: 592-592

Conference paper

Soave F, Farkhatdinov I, Bryan-Kinns N, 2021, Multisensory Teleportation in Virtual Reality Applications, 28th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), Publisher: IEEE, Pages: 377-379

Conference paper

Huang H-Y, Farkhatdinov I, Arami A, Bouri M, Burdet Eet al., 2021, Cable-Driven Robotic Interface for Lower Limb Neuromechanics Identification., IEEE Trans. Biomed. Eng., Vol: 68, Pages: 461-469

Journal article

Palermo F, Konstantinova J, Althoefer K, Poslad S, Farkhatdinov Iet al., 2020, Automatic Fracture Characterization Using Tactile and Proximity Optical Sensing, FRONTIERS IN ROBOTICS AND AI, Vol: 7, ISSN: 2296-9144

Journal article

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