Article
Nanoscience & Nanotechnology
Ludovico Cestarollo, Shane Smolenski, Amal El-Ghazaly
Summary: Haptics enables tactile interactions between humans and digital interfaces. Magnetorheological elastomers (MREs) have the potential to create a tactile interface that can recreate 3D shapes sensed by touch. By using nanoparticles instead of microparticles, MREs can achieve higher deflection and performance. Isotropic MREs with soft magnetic nanoparticles show better performance due to the soft magnetic nature of the nanoparticles. On the other hand, anisotropic MREs with larger particles can achieve greater deflection.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Robotics
Guido Caccianiga, Andrea Mariani, Chiara Galli de Paratesi, Arianna Menciassi, Elena De Momi
Summary: This study successfully improved the task completion capabilities and accuracy of the experimental groups in a virtual reality task resembling needle-driving by combining visual and haptic guidance and feedback training augmentation, outperforming the control group. Further research on long term learning could better define the optimal combination of guidance and feedback in these sensory domains.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Robotics
Mahdi Hejrati, Jouni Mattila
Summary: This study proposes a subsystem-based adaptive impedance control method for a 7-degree-of-freedom haptic exoskeleton, which ensures stability and allows rendering a wide range of virtual environments. The presented controller decomposes the system into subsystems and designs the controller at the subsystem level. It is proven to be stable in the presence of contact with a virtual environment and human arm force, and the Z-width of the haptic exoskeleton is improved by exploiting varying virtual mass element.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Robotics
Marco Aggravi, Ahmed Alaaeldin Said Elsherif, Paolo Robuffo Giordano, Claudio Pacchierotti
Summary: The study introduces a decentralized haptic-enabled control framework for heterogeneous human-robot teams, showing its effectiveness in various search and rescue scenarios. The provision of haptic feedback was found to enhance performance compared to visual information alone, with distinct feedback regarding team connectivity and path direction outperforming combined feedback.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Robotics
Chenxi Xiao, Aaron Benjamin Woeppel, Gina Marie Clepper, Shengjie Gao, Shujia Xu, Johannes F. Rueschen, Daniel Kruse, Wenzhuo Wu, Hong Z. Tan, Thomas Low, Stephen P. Beaudoin, Bryan W. Boudouris, William G. Haris, Juan P. Wachs
Summary: This article focuses on the study and development of innovative techniques for a new robot platform, including the use of an organic electrochemical transistor device to detect explosive residues and make safe removal decisions, utilizing Taurus' surgical gripper for object tactile exploration and precise manipulation, and implementing a highly sensitive triboelectric tactile sensor to reduce intrusiveness and detonation risk. Haptic devices, visual displays, and machine learning are also employed to enhance the teleoperator's situational awareness and object identification from tactile sampling, allowing for a sensitive approach to concealed objects accessible only through tactile sensing.
IEEE TRANSACTIONS ON ROBOTICS
(2023)
Article
Engineering, Biomedical
Keonyoung Oh, William Z. Rymer, Ilaria Plenzio, Ferdinando A. Mussa-Ivaldi, Seunghan Park, Junho Choi
Summary: Researchers developed a robot called DORIS to explore voluntary motor control in stroke survivors with minimized mechanical impedances, allowing users to manipulate the end effector freely while the robot swiftly follows the movements, enabling exploration of an extended workspace.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Robotics
M. Sergio D. D. Sierra, Mario F. F. Jimenez, Marcela Munera, Carlos A. A. Cifuentes, Anselmo Frizera
Summary: In recent years, the development of various assistive devices for gait assistance has been driven by advances in robotics and the increasing prevalence of gait-related pathologies. Smart walkers offer natural and intuitive strategies for gait assistance, such as path-following and guidance. This study implemented three modulation strategies for assisted navigation tasks and found significant differences in the naturalness of the proposed approach.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Robotics
James F. Mullen, Josh Mosier, Sounak Chakrabarti, Anqi Chen, Tyler White, Dylan P. Losey
Summary: In this study, a multimodal approach combining passive and active feedback is proposed for communicating robot inference. Experimental results demonstrate that integrating both types of feedback can improve the efficiency of human teaching and reduce interaction time with the robot.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Robotics
Vivek Ramachandran, Matteo Macchini, Dario Floreano
Summary: This article presents a wearable haptic sleeve that provides tactile feedback for drone teleoperation. The sleeve is composed of lightweight modular clutches that block joint movement, making it both lightweight and non-restrictive for the user. Experimental results show that subjects trained with the sleeve were able to learn the drone obstacle avoidance task through haptic training.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Robotics
Inrak Choi, Eric J. Gonzalez, Sean Follmer
Summary: Realizing high-performance force feedback through a handheld haptic interface is challenging due to limitations on actuator selection imposed by form factors. The study introduces a hybrid actuation mechanism using a geared motor and two active unidirectional clutches to achieve increased impedance range and improve performance. This hybrid mechanism effectively renders free space and solid objects passively while extending impedance rendering capability of haptic interfaces driven by small motors, maintaining the device lightweight, energy-efficient, safe, and low-cost.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Robotics
Liam Kerr, Jozsef Kovecses
Summary: This work introduces reduced interface modelling (RIM) as a method to address the discrepancy in frequency requirements between haptic devices and virtual environment simulators. The results show that RIM significantly reduces computation time required for numerical integration and updates to the virtual environment compared to the common zero-order-hold method, and provides better uncoupled stability and haptic rendering smoothness.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Xuanchun Yin, Chan Wu, Sheng Wen, Jiantao Zhang
Summary: This article introduces a new approach to expanding Z-width by utilizing magnetorheological fluids and spring elements, while also analyzing system stability and human decision-making based on transparency theory.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Robotics
Hosu Lee, Amre Eizad, Jiho Park, Yeongmi Kim, Sunwoo Hwang, Min-Kyun Oh, Jungwon Yoon
Summary: This study proposes a wearable balance biofeedback system that utilizes a combination of indentation and stretching of the skin to improve gait balance. The experiment showed significant improvements in two-dimensional balance for healthy subjects who received feedback, especially in more difficult tasks. The system did not have any detrimental effect on gait speed and showed similar trends in stroke patients.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Robotics
Mikael Jorda, Margot Vulliez, Oussama Khatib
Summary: We propose a new paradigm for remote haptic-robot interactive operations, which combines local autonomy with a high-level exchange strategy of reference input. This approach breaks away from the traditional reliance on direct exchange of low-level control signals in a global feedback control system. Through the establishment of two local autonomous controllers and a dual proxy model, the new approach enables higher-level interface connection and generates appropriate motion and force reference inputs based on task physical interactions and autonomy levels.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Robotics
Takumi Hara, Takashi Sato, Tetsuya Ogata, Hiromitsu Awano
Summary: In this study, we propose a haptic shared control system that predicts human manipulation intentions using a neural network and adaptively adjusts the strength of haptic guidance presentation based on the uncertainty of the inference results. The experiments conducted with the Nextage OPEN robot demonstrate a reduction of 17.1% in task execution time compared to the existing method that ignores the confidence of the neural network.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Computer Science, Artificial Intelligence
Zeynep G. Saribatur, Volkan Patoglu, Esra Erdem
Article
Computer Science, Artificial Intelligence
Zeynep Dogmus, Esra Erdem, Volkan Patoglu
Article
Robotics
Abdullah Kamadan, Gullu Kiziltas, Volkan Patoglu
Article
Robotics
Ahmed Nouman, Volkan Patoglu, Esra Erdem
Summary: Robots with partial observability and incomplete knowledge require cognitive abilities beyond classical planning to consider contingencies, ensure continuous feasibility checks during planning, and use sensing actions to gather relevant knowledge. Conditional planning aims to reach goals from an initial state in the presence of incomplete knowledge and partial observability by considering all contingencies and utilizing sensing actions. Hybrid conditional planning extends this by integrating feasibility checks into action executability conditions, and the HCPlan algorithm computes these plans efficiently while dealing with contingencies due to incomplete knowledge.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
(2021)
Article
Computer Science, Software Engineering
Momina Rizwan, Volkan Patoglu, Esra Erdem
THEORY AND PRACTICE OF LOGIC PROGRAMMING
(2020)
Article
Robotics
Yusuf Aydin, Ozan Tokatli, Volkan Patoglu, Cagatay Basdogan
IEEE TRANSACTIONS ON ROBOTICS
(2020)
Article
Computer Science, Cybernetics
Ata Otaran, Ozan Tokatli, Volkan Patoglu
Summary: The article introduces a low-cost educational robot, HandsOn-SEA, designed to help engineering students gain practical experience and experience performance trade-offs in robotic systems. The robot incorporates a compliant element for closed-loop force control, relying on force feedback for safety and transparency, effectively helping students understand basic concepts and trade-offs in the design and control of robotic devices.
IEEE TRANSACTIONS ON HAPTICS
(2021)
Article
Computer Science, Cybernetics
Celal Umut Kenanoglu, Volkan Patoglu
Summary: This study focuses on the passivity conditions of series elastic actuation (SEA) under model reference force control (MRFC), highlighting the impact of overestimation of robot inertia and underestimation of the stiffness of the series elastic element on SEA stability, while demonstrating the performance of null impedance rendering under MRFC.
IEEE TRANSACTIONS ON HAPTICS
(2022)
Article
Robotics
Gokay Coruhlu, Esra Erdem, Volkan Patoglu
Summary: Successful plan generation for autonomous systems is not enough to guarantee reaching a goal state, as unexpected discrepancies may occur during execution. To address this, an execution monitoring algorithm under partial observability is introduced, relying on hybrid prediction, diagnosis, explanation generation, and planning methods. These reasoning modules combine logical reasoning with probabilistic feasibility checks to improve plan execution monitoring performance.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Computer Science, Cybernetics
Ozdemir Can Kara, Volkan Patoglu
IEEE TRANSACTIONS ON HAPTICS
(2020)
Article
Computer Science, Cybernetics
Umut Caliskan, Volkan Patoglu
IEEE TRANSACTIONS ON HAPTICS
(2020)
Proceedings Paper
Computer Science, Cybernetics
Wankun Sirichotiyakul, Volkan Patoglu, Aykut C. Satici
2019 THIRD IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING (IRC 2019)
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Umut Caliskan, Ardan Apaydin, Ata Otaran, Volkan Patoglu
2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2018)