Haptic identification by ELM-controlled uncertain manipulator, Man, Cybern., Syst, vol.47, issue.8, pp.2398-2409, 2017. ,
Interface design of a physical human-robot interaction system for human impedance adaptive skill transfer, IEEE Trans. Autom. Sci. Eng, vol.15, issue.1, pp.329-340, 2018. ,
Set-membership-based fault detection and isolation for robotic assembly of electrical connectors, IEEE Trans. Autom. Sci. Eng, vol.15, issue.1, pp.160-171, 2018. ,
Control of upper-limb power-assist exoskeleton using a human-robot interface based on motion intention recognition, IEEE Trans. Autom. Sci. Eng, vol.12, issue.4, pp.1257-1270, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01538507
Weakly paired multimodal fusion for object recognition, IEEE Trans. Autom. Sci. Eng, vol.15, issue.2, pp.784-795, 2018. ,
Vision-based caging grasps of polyhedron-like workpieces with a binary industrial gripper, IEEE Trans. Autom. Sci. Eng, vol.12, issue.3, pp.1033-1046, 2015. ,
Human-in-the-loop approach for teaching robot assembly tasks using impedance control interface, Proc. IEEE Int. Conf. Robot. Autom, pp.1497-1502, 2015. ,
Robotic room-level localization using multiple sets of sonar measurements, IEEE Trans. Instrum. Meas, vol.66, issue.1, pp.2-13, 2017. ,
Grasping objects: The relationship between the cage and the form-closure grasp, IEEE Robot. Autom. Mag, vol.24, issue.3, pp.84-96, 2017. ,
A time-sequence-based fuzzy support vector machine adaptive filter for tremor cancelling for microsurgery, Int. J. Syst. Sci, vol.46, issue.6, pp.1131-1146, 2015. ,
A threedomain fuzzy wavelet network filter using fuzzy PSO for robotic assisted minimally invasive surgery, Knowl.-Based Syst, vol.66, pp.13-27, 2014. ,
Multimodal measurements fusion for surface material categorization, IEEE Trans. Instrum. Meas, vol.67, issue.2, pp.246-256, 2018. ,
Condition and strategy analysis for assembly based on attractive region in environment, IEEE/ASME Trans. Mechatronics, vol.22, issue.5, pp.2218-2228, 2017. ,
Extreme kernel sparse learning for tactile object recognition, IEEE Trans. Cybern, vol.47, issue.12, pp.4509-4520, 2017. ,
Learning to walk through imitation, Proc. IJCAI, vol.7, pp.2084-2090, 2007. ,
Robot life-long task learning from human demonstrations: A Bayesian approach, Auto. Robots, vol.41, issue.5, pp.1173-1188, 2017. ,
Dogged learning for robots, Proc. IEEE Int. Conf. Robot. Autom, pp.2483-2488, 2007. ,
Intent imitation using wearable motion capturing system with on-line teaching of task attention, Proc. 5th IEEE-RAS Int. Conf. Humanoid Robots, pp.469-474, 2005. ,
Imitation learning: A survey of learning methods, ACM Comput. Surv, vol.50, issue.2, 2017. ,
Learning trajectories for robot programing by demonstration using a coordinated mixture of factor analyzers, IEEE Trans. Cybern, vol.46, issue.3, pp.706-717, 2016. ,
Trajectory learning for robot programming by demonstration using hidden Markov model and dynamic time warping, Man, Cybern. B, Cybern, vol.42, issue.4, pp.1039-1052, 2012. ,
Trajectory generation with spatio-temporal templates learned from demonstrations, IEEE Trans. Ind. Electron, vol.64, issue.4, pp.3442-3451, 2017. ,
Learning compliant movement primitives through demonstration and statistical generalization, IEEE/ASME Trans. Mechatronics, vol.21, issue.5, pp.2581-2594, 2016. ,
Learning incontact control strategies from demonstration, Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS), pp.688-695, 2016. ,
Force-based robot learning of pouring skills using parametric hidden Markov models, Proc. IEEE 9th Workshop Robot Motion Control (RoMoCo), pp.227-232, 2013. ,
Learning robot manipulation tasks with task-parameterized semitied hidden semi-Markov model, IEEE Robot. Autom. Lett, vol.1, issue.1, pp.235-242, 2016. ,
Small variance asymptotics for non-parametric online robot learning, 2016. ,
A novel telerobotic method for human-in-the-loop assisted grasping based on intention recognition, Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp.4762-4769, 2014. ,
Online intention recognition for computer-assisted teleoperation, Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp.5334-5339, 2010. ,
Probabilistic movement modeling for intention inference in human-robot interaction, Int. J. Robot. Res, vol.32, issue.7, pp.841-858, 2013. ,
A probabilistic framework for semi-autonomous robots based on interaction primitives with phase estimation, Robotics Research, pp.253-268, 2018. ,
Human intention inference using expectation-maximization algorithm with online model learning, IEEE Trans. Autom. Sci. Eng, vol.14, issue.2, pp.855-868, 2017. ,
A shared control method for online human-in-the-loop robot learning based on locally weighted regression, Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS), pp.3900-3906, 2016. ,
Using learning from demonstration to generate real-time guidance for haptic shared control, Proc. IEEE Int. Conf. Syst., Man, Cybern, pp.3205-003210, 2016. ,
Novel learning from demonstration approach for repetitive teleoperation tasks, Proc. IEEE World Haptics Conf, pp.60-65, 2017. ,
Representation and inference of user intention for Internet robot, Man, Cybern., Syst, vol.44, issue.8, pp.995-1002, 2014. ,
Personalized variable gain control with tremor attenuation for robot teleoperation, Man, Cybern. A, Syst, vol.48, issue.10, pp.1759-1770, 2018. ,
Principal component analysis applied to surface electromyography: A comprehensive review, IEEE Access, vol.4, pp.4025-4037, 2016. ,
Homomorphic deconvolution for MUAP estimation from surface EMG signals, IEEE J. Biomed. Health Informat, vol.21, issue.2, pp.328-338, 2017. ,
Learning controllers for reactive and proactive behaviors in human-robot collaboration, Frontiers Robot. AI, vol.3, issue.30, pp.1-11, 2016. ,
A generative model for intention recognition and manipulation assistance in teleoperation, Proc ,
, Conf. Intell. Robots Syst. (IROS), pp.43-50, 2017.
Encoding the time and space constraints of a task in explicit-duration hidden Markov model, Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS), pp.3413-3418, 2011. ,
Statistical learning by imitation of competing constraints in joint space and task space, Adv. Robot, vol.23, issue.15, pp.2059-2076, 2009. ,
Teleoperation control based on combination of wave variable and neural networks, Man, Cybern., Syst, vol.47, issue.8, pp.2125-2136, 2017. ,
Chenguang Yang (M'10-SM'16) received the B.Eng. degree in measurement and control from Northwestern Polytechnical University, IEEE Trans. Ind. Informat, vol.13, issue.3, pp.1162-1171, 2005. ,