Outputs (21)

A novel dynamic movement primitives-based skill learning and transfer framework for multi-tool use (2022)
Presentation / Conference Contribution
Lu, Z., Wang, N., Li, M., & Yang, C. (2022). A novel dynamic movement primitives-based skill learning and transfer framework for multi-tool use. . https://doi.org/10.1109/ICCA54724.2022.9831826

Dynamic Movement Primitives (DMPs) is a general method for learning skills from demonstrations. Most previous research on DMP has focused on point to point skill learning and training, and the skills learned are usually generalized based on the same... Read More about A novel dynamic movement primitives-based skill learning and transfer framework for multi-tool use.

Dynamic surface control with a nonlinear disturbance observer for multi‐degree of freedom underactuated mechanical systems (2022)
Journal Article
Ding, F., Huang, J., Xu, W., Yang, C., Sun, C., & Ai, Y. (2022). Dynamic surface control with a nonlinear disturbance observer for multi‐degree of freedom underactuated mechanical systems. International Journal of Robust and Nonlinear Control, 32(14), https://doi.org/10.1002/rnc.6275

Underactuated systems are extensively utilized in practice while attracting a huge deal of attention in theoretical studies. There are few robust control strategies for general underactuated systems because of the variety of their dynamic models. A d... Read More about Dynamic surface control with a nonlinear disturbance observer for multi‐degree of freedom underactuated mechanical systems.

A review on the techniques used in prostate brachytherapy (2022)
Journal Article
Li, Y., Yang, C., Bahl, A., Persad, R., & Melhuish, C. (2022). A review on the techniques used in prostate brachytherapy. Cognitive Computation and Systems, 4(4), 317-328. https://doi.org/10.1049/ccs2.12067

Prostate brachytherapy is a validated treatment for prostate cancer. During the procedure, the accuracy of needle placement is critical to the treatment’s effectiveness. However, the inserted needle could deflect from the preset trajectory because of... Read More about A review on the techniques used in prostate brachytherapy.

From teleoperation to autonomous robot-assisted microsurgery: A survey (2022)
Journal Article
Zhang, D., Si, W., Fan, W., Guan, Y., & Yang, C. (2022). From teleoperation to autonomous robot-assisted microsurgery: A survey. Machine Intelligence Research, 19, 288–306. https://doi.org/10.1007/s11633-022-1332-5

Robot-assisted microsurgery (RAMS) has many benefits compared to traditional microsurgery. Microsurgical platforms with advanced control strategies, high-quality micro-imaging modalities and micro-sensing systems are worth developing to further enhan... Read More about From teleoperation to autonomous robot-assisted microsurgery: A survey.

E2EK: End-to-end regression network based on keypoint for 6d pose estimation (2022)
Journal Article
Lin, S., Wang, Z., Ling, Y., Tao, Y., & Yang, C. (2022). E2EK: End-to-end regression network based on keypoint for 6d pose estimation. IEEE Robotics and Automation Letters, 7(3), 6526-6533. https://doi.org/10.1109/LRA.2022.3174261

The methods based on deep learning are the mainstream of 6D object pose estimation, which mainly include direct regression and two-stage pipelines. The former are keen by many scholars at first due to their simplicity and differentiability to poses,... Read More about E2EK: End-to-end regression network based on keypoint for 6d pose estimation.

Multifingered robot hand compliant manipulation based on vision-based demonstration and adaptive force control (2022)
Journal Article
Zeng, C., Li, S., Chen, Z., Yang, C., Sun, F., & Zhang, J. (in press). Multifingered robot hand compliant manipulation based on vision-based demonstration and adaptive force control. IEEE Transactions on Neural Networks and Learning Systems, 1-12. https://doi.org/10.1109/tnnls.2022.3184258

Multifingered hand dexterous manipulation is quite challenging in the domain of robotics. One remaining issue is how to achieve compliant behaviors. In this work, we propose a human-in-the-loop learning-control approach for acquiring compliant graspi... Read More about Multifingered robot hand compliant manipulation based on vision-based demonstration and adaptive force control.

An observation based method for human robot writing skill transfer (2022)
Presentation / Conference Contribution
Li, X., Si, W., & Yang, C. (2022). An observation based method for human robot writing skill transfer. In 2022 IEEE 17th International Conference on Control & Automation (ICCA). https://doi.org/10.1109/ICCA54724.2022.9831836

This paper proposes a novel method of Chinese character stroke extraction and a framework for human robot skill transfer through vision-based observation. By analyzing the structure of Chinese characters, a direction vector update rule and a pixel fi... Read More about An observation based method for human robot writing skill transfer.

Robotic dexterous manipulation: From tele-operation to autonomous learning and adaptive control (2022)
Journal Article
Li, Q., Liu, C., Yang, C., Chen, F., & Ritter, H. (2022). Robotic dexterous manipulation: From tele-operation to autonomous learning and adaptive control. Complex and Intelligent Systems, 8(4), 2809-2811. https://doi.org/10.1007/s40747-022-00773-y

Manipulation is one essential capability that enables robots to interact with and change the world. It is very important to understand the principles on how dexterous manipulation can be achieved from theoretical and technical aspects. From this spec... Read More about Robotic dexterous manipulation: From tele-operation to autonomous learning and adaptive control.

Robust passivity-based dynamical systems for compliant motion adaptation (2022)
Journal Article
Huang, H., Guo, Y., Yang, G., Chu, J., Chen, X., Li, Z., & Yang, C. (2022). Robust passivity-based dynamical systems for compliant motion adaptation. IEEE/ASME Transactions on Mechatronics, 27(6), 4819-4828. https://doi.org/10.1109/tmech.2022.3166204

Motivated by human compliant behaviors during interacting with unknown environments and how motions and impedance to are adapted skilfully complete a task, this article develops a motion planning scheme that is capable of generating a compliant traje... Read More about Robust passivity-based dynamical systems for compliant motion adaptation.

A framework for composite layup skill learning and generalizing through teleoperation (2022)
Journal Article
Si, W., Wang, N., Li, Q., & Yang, C. (2022). A framework for composite layup skill learning and generalizing through teleoperation. Frontiers in Neurorobotics, 16, Article 840240. https://doi.org/10.3389/fnbot.2022.840240

In this article, an impedance control-based framework for human-robot composite layup skill transfer was developed, and the human-in-the-loop mechanism was investigated to achieve human-robot skill transfer. Although there are some works on human-rob... Read More about A framework for composite layup skill learning and generalizing through teleoperation.