All Outputs (8)

MechTac: A multifunctional tendon-linked optical tactile sensor for in/out-the-field-of-view perception with deep learning (2023)
Presentation / Conference Contribution
Lu, Z., Yue, T., Zhao, Z., Si, W., Wang, N., & Yang, C. (2023, October). MechTac: A multifunctional tendon-linked optical tactile sensor for in/out-the-field-of-view perception with deep learning. Presented at IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore

Tactile sensors can be used for motion detection and object perception in robot manipulation. The contact detection within the camera's visual inspection area has been well-developed, but perception outside the field of view of the camera is overlook... Read More about MechTac: A multifunctional tendon-linked optical tactile sensor for in/out-the-field-of-view perception with deep learning.

A bio-inspired multi-functional tendon-driven tactile sensor and application in obstacle avoidance using reinforcement learning (2023)
Journal Article
Lu, Z., Zhao, Z., Yue, T., Zhu, X., & Wang, N. (2024). A bio-inspired multi-functional tendon-driven tactile sensor and application in obstacle avoidance using reinforcement learning. IEEE Transactions on Cognitive and Developmental Systems, 16(2), 407 - 415. https://doi.org/10.1109/tcds.2023.3297361

This paper presents a new bio-inspired tactile sensor that is multi-functional and has different sensitivity contact areas. The TacTop area is sensitive and is used for object classification when there is a direct contact. On the other hand, the TacS... Read More about A bio-inspired multi-functional tendon-driven tactile sensor and application in obstacle avoidance using reinforcement learning.

Distributed observer-based prescribed performance control for multi-robot deformable object cooperative teleoperation (2023)
Journal Article
Lu, Z., Wang, N., Si, W., & Yang, C. (in press). Distributed observer-based prescribed performance control for multi-robot deformable object cooperative teleoperation. IEEE Transactions on Automation Science and Engineering, https://doi.org/10.1109/tase.2023.3292553

In this paper, a distributed observer-based prescribed performance control method is proposed for using a multi-robot teleoperation system to manipulate a common deformable object. To achieve a stable position-tracking effect and realize the desired... Read More about Distributed observer-based prescribed performance control for multi-robot deformable object cooperative teleoperation.

Handheld device design for robotic teleoperation based on multi-sensor fusion (2023)
Presentation / Conference Contribution
Xie, L., Huang, D., Lu, Z., Wang, N., & Yang, C. (2023, March). Handheld device design for robotic teleoperation based on multi-sensor fusion. Presented at Proceedings - 2023 IEEE International Conference on Mechatronics, ICM 2023, Loughborough, United Kingdom

Precise leader-follower control is critical for teleop- eration. This paper designs and implements a low-cost leader device for unilateral teleoperation scenario. Monocular vision based on fiducial markers and MEMS Inertial Measurement Unit (IMU) are... Read More about Handheld device design for robotic teleoperation based on multi-sensor fusion.

A multimodal human-robot sign language interaction framework applied in social robots (2023)
Journal Article
Li, J., Zhong, J., & Wang, N. (2023). A multimodal human-robot sign language interaction framework applied in social robots. Frontiers in Neuroscience, 17, Article 1168888. https://doi.org/10.3389/fnins.2023.1168888

Deaf-mutes face many difficulties in daily interactions with hearing people through spoken language. Sign language is an important way of expression and communication for deaf-mutes. Therefore, breaking the communication barrier between the deaf-mute... Read More about A multimodal human-robot sign language interaction framework applied in social robots.

A multimodal teleoperation interface for human-robot collaboration (2023)
Presentation / Conference Contribution
Si, W., Zhong, T., Wang, N., & Yang, C. (2023, March). A multimodal teleoperation interface for human-robot collaboration. Presented at Proceedings - 2023 IEEE International Conference on Mechatronics, ICM 2023, Loughborough, United Kingdom

Human-robot collaboration provides an effective approach to combine human intelligence and the autonomy of robots, which can improve the safety and efficiency of the robot. However, developing an intuitive and immersive human-robot interface with mul... Read More about A multimodal teleoperation interface for human-robot collaboration.

Review on human-like robot manipulation using dexterous hands (2023)
Journal Article
Kadalagere Sampath, S., Wang, N., Wu, H., & Yang, C. (2023). Review on human-like robot manipulation using dexterous hands. Cognitive Computation and Systems, 5(1), 14-29. https://doi.org/10.1049/ccs2.12073

In recent years, human hand-based robotic hands or dexterous hands have gained attention due to their enormous capabilities of handling soft materials compared to traditional grippers. Back in the earlier days, the development of a hand model close t... Read More about Review on human-like robot manipulation using dexterous hands.

Human-in-the-loop Learning and Control for Robot Teleoperation (2023)
Book
Yang, C., Luo, J., & Wang, N. (2023). Human-in-the-loop Learning and Control for Robot Teleoperation. Elsevier. https://doi.org/10.1016/C2021-0-02620-1

Human-in-the-loop Learning and Control for Robot Teleoperation presents recent, research progress on teleoperation and robots, including human-robot interaction, learning and control for teleoperation with many extensions on intelligent learning tech... Read More about Human-in-the-loop Learning and Control for Robot Teleoperation.