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Jingeng Mai

dblp:78/11392 · DBLP profile ↗
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5ranked-venue papers
0as first author
3since 2021 · last 2025
0000-0003-4289-0382ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 4 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Human-robot interaction · 59% Haptics and multimodal interaction · 20% Accessibility and assistive technology · 11%
Artificial intelligence
1 paper
Robot manipulation · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 9 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › wearable robot › exoskeleton
ankle exoskeleton
0.812024
Bioinspired Cable-Driven Actuation System for Wearable Robotic Devices: Design, Control, and Characterization · IEEE Trans. Robotics 2024
Human-robot interaction › wearable robot
exoskeleton
0.812024
Bioinspired Cable-Driven Actuation System for Wearable Robotic Devices: Design, Control, and Characterization · IEEE Trans. Robotics 2024
Haptics and multimodal interaction › haptic device actuation
tendon-driven actuation
0.812024
Bioinspired Cable-Driven Actuation System for Wearable Robotic Devices: Design, Control, and Characterization · IEEE Trans. Robotics 2024
Human-robot interaction
wearable robot
0.812024
Bioinspired Cable-Driven Actuation System for Wearable Robotic Devices: Design, Control, and Characterization · IEEE Trans. Robotics 2024
Robotics › Robot manipulation › actuator design › compliant actuator
backdrivability
0.512021
Mechatronic Design of A Low-Noise Active Knee Prosthesis with High Backdrivability · ICRA 2021
Robotics › Robot manipulation › wearable robotics
prosthetic device
0.512021
Mechatronic Design of A Low-Noise Active Knee Prosthesis with High Backdrivability · ICRA 2021
Accessibility and assistive technology › assistive technology
robotic prosthesis
0.412020
Energy Regeneration From Electromagnetic Induction by Human Dynamics for Lower Extremity Robotic Prostheses · IEEE Trans. Robotics 2020
Cloud and datacenter computing › cloud platform
cloud service platform
0.412020
Cloud based 3D printing service platform for personalized manufacturing · Sci. China Inf. Sci. 2020
Computational fabrication
additive manufacturing
0.112020
Cloud based 3D printing service platform for personalized manufacturing · Sci. China Inf. Sci. 2020

Methods — techniques the papers use, named apart from their topics

electromyography · 0.8synchronous belt transmission · 0.5electromagnetic induction · 0.4
YearPublicationVenuePosition
2025 An Underwater Exoskeleton for Scuba Diving: Reducing Air Consumption and Muscle Activation Through Knee Assistance
abstract
Evolutionary pressures have pushed humans to become efficient walkers, but inefficient divers. People consume more energy to travel the same distance underwater than on land. In diverse overground locomotion, emerging exoskeletons have reduced the metabolic cost of humans. Can we also improve the energy economy in underwater locomotion via exoskeletons? Here, we propose an underwater exoskeleton to assist scuba diving using flutter kick, by applying assistive knee extension torque during the strike phase of the diving kick cycle. When divers wore the powered exoskeleton, the average net air cost across six experienced divers was reduced by 22.7$\pm$10.0%, and the peak quadriceps activation was decreased by 20.9$\pm$7.5%, compared with normal diving without the exoskeleton. The average gastrocnemius activation also decreased by 20.6$\pm$5.3%, suggesting that the divers sufficiently utilized the exoskeleton assistance. These results indicate that applying exoskeleton assistance is conducive to improving the endurance of human underwater diving and enhancing our ability to explore the underwater world. Our study extends the application boundary of wearable robots, and provides a reference for the design and assessment of future underwater assistive devices, with the potential to strengthen the connection between humans and the ocean.
Xianda Wu, Wenjie Lou, Yalei Zhou, Jingeng Mai, Qining Wang
IEEE Trans. Robotics7
2024 Bioinspired Cable-Driven Actuation System for Wearable Robotic Devices: Design, Control, and Characterization
abstract
Wearable robotic devices interact with human by applying assistive force in parallel with muscle-tendon systems. Designing actuations in mimicking the natural activation patterns of human muscles is a promising way to optimize the performance of wearable robots. In this paper, we propose a bio-inspired cable-driven actuation system capable of providing anisometric contractions (including concentric and eccentric contraction) assistance or nearly acting as a transparent device in an efficient manner. A novel clutch-spring mechanism is employed to accomplish switches between assistive modes and the transparent mode. Corresponding control strategies coordinating with the mechanical design were presented and described in detail. Multiple evaluations were conducted on a test bench to characterize the system performance. The closed-loop bandwidth of the system running concentric assistance control was 18.2 Hz. The R-squared values of linear fitting under eccentric assistance control were above 0.99. The engagement time of the proposed clutch was about 90 ms. Applying the actuation to an ankle exoskeleton, multiple walking experiments with electromyography measurement were performed on five subjects to show its application potential in existing wearable robots. Experimental results revealed that the proposed design could reduce soleus muscle activity by 27.32% compared with normal walking. This study highlights the importance of functional bionic design in human-assistance-related devices and introduces a general actuation system that could be directly applied to existing cable-driven wearable robots.
Zezheng Wang 0001, Lecheng Ruan, Jingeng Mai, Qining Wang
IEEE Trans. Robotics5
2021 Mechatronic Design of A Low-Noise Active Knee Prosthesis with High Backdrivability
abstract
In this paper, we present a low-damping active knee prosthesis (LDKP) with low noise and high backdrivability. The proposed prosthesis is driven by a motor and then decelerated by a four-stage synchronous belt. High backdrivability given by this structure accelerates the prosthetic response. A control system containing several sensors are embedded in the proposed prosthesis to recognize different modes and provide corresponding strategies. Preliminary experiments were carried out on a transfemoral amputee subject, demonstrating the features of low noise, high backdrivability and ability to reproduce natural walking gaits.
Guoxiang Fu, Jinying Zhu, Jingeng Mai, Qining Wang
ICRA4
2020 Cloud based 3D printing service platform for personalized manufacturing
Lin Zhang 0009, Lei Ren 0001, Jingeng Mai
Sci. China Inf. Sci.4
2020 Energy Regeneration From Electromagnetic Induction by Human Dynamics for Lower Extremity Robotic Prostheses
abstract
Wearable robotic devices often need electrical energy. An interesting idea is to collect mechanical energy during walking and convert it into electrical energy to recharge these devices directly. In this article, we built a light-weight robotic prosthesis (1.3 kg) with the feature of self-charging. During stance phase, the prosthetic ankle joint with damping, is driven by human dynamics. The rotated ankle joint backdrives the motor, and the motor works as a generator according to the electromagnetic induction theory. Five subjects participated in experiments to verify the feasibility and five speeds walking were studied (0.7, 0.9, 1.1, and 1.3 m/s treadmill speeds and one self-selected outdoor walking speed). Experimental results demonstrate that the electrical regenerative energy per step is 1.53 ± 0.29 J on average. Meanwhile, an average consumed energy per step of the robotic prosthesis is 4.64 ± 0.15 J, which means 33 ± 5% energy can be returned to the active prosthesis (battery, 24 V, 2.6 Ah).
Yanggang Feng, Jingeng Mai, Sunil K. Agrawal, Qining Wang
IEEE Trans. Robotics2