Some recent publications on robot vision and sensing
1. Y. F. Li and M. H. Lee, Applying Vision Guidance in Robotic Food Handling, IEEE Robotics and Automation Magazine, Vol. 3, No. 1, pp. 4--12, March 1996.
2. Y. F. Li, A Sensor Based Robot Transition Control Strategy, International Journal of Robotics Research, Vol. 15, No. 2, pp. 128--136, April 1996.
3. Y. F. Li and X. Chen, On the Dynamic Behavior of a Force/Torque Sensor for Robots, IEEE Transactions on Instrumentation and Measurement, Vol. 47, No. 1, pp. 304-308, Feb. 1998.
4. J. Wang and Y. F. Li, Human-assisted environment modeling for robots, Autonomous Robots, Vol. 6, No 1, pp. 89-103, Jan. 1999.
5. N. Li and Y. F. Li, A Method for Image Segmentation Based on Encoder Segmented Neural Network and its Applications, Optical Engineering, Vol. 38, No. 5, pp. 908-920, May 1999.
6. C. Xiong, Y. F. Li, et al, Grasp Capability Analysis of Multifingered Robot Hands, Robotics and Autonomous System, Vol. 27, No. 4, pp. 211-224, June 1999.
7. C. Xiong, Y. F. Li, et al, On the Dynamic Stability of Grasping, International Journal of Robotics Research, Vol. 18, No. 9, pp. 951-958, Sept. 1999.
8. Y. F. Li and X. Chen, End-point sensing and state observation of a flexible robot arm, IEEE/ASME Transactions on Mechatronics, Vol. 6, No. 3, pp. 351-356, Sept. 2001.
9. R. S. Lu, Y. F. Li and Q. Yu, On-line measurement of straightness of seamless steel pipes using machine vision, Sensor and Actuators, A-Physical, Vol. 94, No. 1, pp. 95-101, Oct. 2001.
10. S. Y. Chen and Y. F. Li, Self-recalibration of a color-encoded light system for automated 3-D measurements, Measurement Science and Technology, Vol. 14, No. 1, pp. 33-40, Jan. 2003.
11. R. S. Lu and Y. F. Li, Calibration of a 3D Vision System Using Pattern Projection, Sensors and Actuators, A-Physical, Vol.104, No. 1, pp. 94-102, March 2003.
12. Y. F. Li and S. Y. Chen, Automatic Recalibration of an Active Structured Light Vision System, IEEE Transactions on Robotics and Automation, Vol. 19, No. 2, pp. 259-268, April 2003.
13. B. Zhang, Y. F. Li, et al, Planar Pattern for Automatic Camera Calibration, Optical Engineering, Vol. 42, No. 6, pp. 1542-1549, June 2003.
14. N. Li and Y. F. Li, Feature Encoding for Unsupervised Segmentation of Color Images, IEEE Transactions on System Man and Cybernetics, Part B, Vol. 33, No. 3, pp. 438-447, June 2003.
15. Y. F. Li and Z. Liu, Method for Determining the Probing Points for Efficient Measurement and Reconstruction of Freeform Surfaces, Measurement Science and Technology, Vol. 14, No. 8, pp. 1280-1288, Aug. 2003.
16. Y. F. Li and D. Bi, A method of dynamics identification for haptic display of the operating feel in a virtual environment, IEEE/ASME Transactions on Mechatronics, Vol. 8, No. 4, pp. 476-482, Dec. 2003.
17. Y. F. Li and R. S. Lu, Uncalibrated Euclidean 3D Reconstruction Using an Active Vision System, IEEE Transactions on Robotics and Automation, Vol. 20, No. 1, pp. 15-25, Feb. 2004.
18. S. Y. Chen and Y. F. Li, Automatic Sensor Placement for Model-Based Robot Vision, IEEE Transactions on System Man and Cybernetics, Part B, Vol. 34, No. 1, pp. 393-408, Feb. 2004.
19. G. L. Wang and Y. F. Li, Integrated sensing and filter design for a single-link flexible manipulator, IEEE Transactions on Robotics and Automation, Vol. 20, No. 3, pp. 559-564, June 2004.
20. G. L. Wang, Y. F. Li and D. Bi, Support vector machine networks for friction modeling, IEEE/ASME Transactions on Mechatronics, Vol. 9, No. 3, pp. 601-606, Sept. 2004.
21. R. S. Lu and Y. F. Li, A Global calibration method for large-scale multi-sensor visual measurement systems, Sensors and Actuators, A-Physical, Vol. 116, Issue 3, pp. 384-393, Oct. 2004.
22. Y. F. Li and B. Zhang, A Method for 3D measurement and reconstruction for active vision, Measurement Science and Technology, Vol. 15, No. 11, pp. 2224-2232, Nov. 2004.
23. Y. F. Li and Z. Liu, Information Entropy Based Viewpoint Planning for 3D Object Reconstruction, IEEE Transactions on Robotics, Vol. 21, Issue 3, pp. 324-337, June 2005.
24. Y. Xiao and Y. F. Li, Optimized Stereo Reconstruction of Free-form Space Curves Based on Non-Uniform Rational B-Spline Model, Journal of the Optical Society of America (JOSA) A-Optics Image Science and Vision , Vol. 22, No. 9, pp. 1746-1762, Sept. 2005.
25. S. Y. Chen and Y. F. Li, Vision sensor planning for 3D model acquisition, IEEE Transactions on System Man and Cybernetics, Part B, Vol. 35, No. 5, pp. 894-904, Oct. 2005.
26. S. Y. Chen, Y. F. Li, et al, Real-Time Three-Dimensional Surface Measurement by Color Encoded Light Projection, Applied Physics Letters, Vol. 89, Issue 11, pp. 111108-10, Sept. 2006.
27. H. Y. Chen and Y. F. Li, Enhanced 3D Tracking Using Nonsingular Constraints, Optical Engineering, Vol. 45, No. 10, pp. 107202-1-12, Oct. 2006.
28. D. Xu, Y. F. Li, et al, A new pose detection method for self-calibrated cameras based on parallel lines and its application in visual control system, IEEE Transactions on System Man and Cybernetics, Part B, Vol. 36, No. 5, pp. 1104-1117, Oct. 2006.
29. Y. F. Li and B. Zhang, Dynamic Calibration and 3D Reconstruction in a Structured Light System, Journal of the Optical Society of America (JOSA) A- Optics Image Science and Vision , Vol. 24, No. 3, pp. 785-793, March 2007.
30. B. Zhang, Y. F. Li and Y. Wu, Self-Recalibration of a Structured Light System via Plane-Based Homography, Pattern Recognition, Vol. 40, Issue 4, pp. 1368-1377, April 2007.
31. G. L. Wang, Y. F. Li, Support vector networks in adaptive friction compensation, IEEE Transactions on Neural Networks, Vol. 18, No. 4, pp. 1209-1219, July 2007.
32. D. Xu, Y. F. Li, et al, A New Active Visual System for Humanoid Robots, IEEE Transactions on System Man and Cybernetics, Part B, Vol. 38, No. 2, pp.320-330, April 2008.
33. S. Y. Chen, Y. F. Li, et al, Vision Processing for Realtime 3D Data Acquisition Based on Coded Structured Light, IEEE Transactions on Image Processing, Vol. 17, No. 2, pp. 167-176, Feb. 2008.
34. B. Zhang and Y. F. Li, Homography-based method for Calibrating an Omni-directional Vision System, Journal of the Optical Society of America (JOSA) A- Optics Image Science and Vision , Vol. 25, No. 6, pp 1389-1394, June 2008.
35. Y. Wu, Y. F. Li and Z. Hu, Detecting and Handling Unreliable Points for Camera Parameter Estimation, International Journal of Computer Vision, Vol. 79, No. 2, pp. 209-223, Aug. 2008.
36. S. Wu and Y. F. Li, On Signature Invariants for Effective Motion Trajectory Recognition, International Journal of Robotics Research, Vol. 27, No. 8, pp. 895–917, Aug. 2008.
37. S. Wu and Y. F. Li, Flexible Signature Descriptions for Adaptive Motion Trajectory Representation, Perception and Recognition, Pattern Recognition, Vol. 42, No. 1, pp. 194-214, Jan. 2009.
38. H. Y. Chen and Y. F. Li, Dynamic View Planning by Effective Particles for 3D Tracking, IEEE Transactions on System Man and Cybernetics, Part B, Vol. 39, No. 1, pp. 242-253, Feb. 2009.
39. H. Chen and Y. F. Li, Particles coupled with Data Fusion for 3D Tracking, IEEE Transactions on Industrial Electronics, Vol. 56, No. 8, pp. 2992-2997, Aug. 2009.
40. S. Wu and Y. F. Li, Motion Trajectory Reproduction from Generalized Signature Description, Pattern Recognition, Vol. 43, No. 1, pp. 204-221, Jan. 2010.
41. Z. Liang and Y. F. Li, A regularization framework for robust dimensionality reduction with applications to image reconstruction and feature extraction, Pattern Recognition, Vol. 43, Issue 4, pp. 1269-1281, Apr. 2010.
42. Y. Li, Y. F. Li, et al, On-line Visual Inspection and Defect Detection of Weld bead, IEEE Transactions on Instrumentation and Measurement, Vol. 59, No. 7, pp. 1841-1859, July 2010.
43. Z. Li and Y. F. Li, Gamma distorted fringe image modeling and accurate gamma correction for fast phase measuring profilometry, Optics Letters, Vol. 36, No. 2, pp. 154-156, Jan. 2011.
44. S. Chen and Y. F. Li, Determination of Stripe Edge Blurring for Vision Sensing of Scene Depth, IEEE Sensors Journal, Vol. 11, No. 2, pp. 389-390, Feb. 2011.
45. W. Li and Y. F. Li, Generic calibration of an integral imaging system for 3D reconstruction, Journal of the Optical Society of America (JOSA) A- Optics Image Science and Vision , Vol. 28, No. 3, pp. 318-326, March 2011.
46. W. Li and Y. F. Li, Single-camera panoramic stereo imaging system with a fisheye lens and a convex mirror, Optics Express, Vol. 19, Iss. 7, pp. 5855–5867, March 2011.
47. S. Chen, Y. F. Li, N. Kwok, Recent Developments of Active Vision Perception in Robotic Systems: A Survey, International Journal of Robotics Research, Vol. 30, No. 11, pp. 1343 – 1377, Sep. 2011.
48. T. Bai and Y. F. Li, Robust Visual Tracking with Structured Sparse representation Appearance Model, Pattern Recognition, Vol. 45, Iss. 6, pp. 2390–2404, June 2012.
49. W. Li and Y. F. Li, Overall well focused catadioptric image acquisition with multi-focal images: a model based method, IEEE Transactions on Image Processing, Vol. 21, No. 8, pp. 3697-3706, Aug. 2012.
50. Z. Liang, Y. F. Li, and S. Xia, Adaptive weighted learning for linear regression problems via Kullback–Leibler divergence, Pattern Recognition, Vol. 46, Iss. 4, pp. 1091–1226, April 2013.
51. X. Zhou, Y. F. Li, B. He, Game-Theoretical Occlusion Handling for Multi-Target Visual Tracking, Pattern Recognition, Vol. 46, Iss. 10, pp. 2670–2684, Oct. 2013.
52. T. Bai and Y. F. Li, Robust Visual Tracking Using Flexible Structured Sparse Representation, IEEE Transactions on Industrial Informatics, Vol. 10, No. 1, pp. 538-547, Feb. 2014.
53. X. Zhou, Y. F. Li, et al, GM-PHD-Based Multi-Target Visual Tracking Using Entropy Distribution and Game Theory, IEEE Transactions on Industrial Informatics, Vol. 10, No. 2, pp. 1064-1076, May 2014.
54. J. Liu, Y. F. Li, and S. Chen, Robust camera calibration by optimal localization of spatial control points(file\LJY_TIM14.pdf), IEEE Transactions on Instrumentation & Measurement, Vol. 63, No. 12, pp. 3076-3087, Dec. 2014.
55. T. Bai, Y. F. Li, X. Zhou, Learning Local Appearances with Sparse Representation for Robust and Fast Visual Tracking (file\TX_SMC15.pdf), IEEE Transactions on Cybernetics, Vol. 45, No. 4, pp. 663-675, April 2015.
56. Z. Shao and Y.F. Li, Integral Invariants for Space Motion Trajectory Matching and Recognition (file\ZP_PR15.pdf), Pattern Recognition, Vol. 48, Issue 8, pp. 2418–2432, Aug. 2015.
57. Z. Shao and Y. F. Li, On Integral Invariants for Effective 3D Motion Trajectory Matching and Recognition, IEEE Transactions on Cybernetics, Vol. 46, No. 2, pp. 511-523, Feb. 2016.
58. Y. Guo, Y. F. Li, and Z. Shao, RRV: A Spatiotemporal Descriptor for Rigid Body Motion Recognition, IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2017.2705227, 2017.
59. S. Liu, Y. F. Li, D. Xu, et al, An Efficient Insertion Control Method for Precision Assembly of Cylindrical Components, IEEE Transactions on Industrial Electronic, DOI: 10.1109/TIE.2017.2711551, 2017.
60. Y. Guo, Y. F. Li and Z. Shao, DSRF: A Flexible Trajectory Descriptor for Articulated Human Action Recognition, Pattern Recognition, Vol. 76, Issue , pp. 137–148, April 2018.
61 Y. Guo, Y. F. Li, and Z. Shao, RRV: A Spatiotemporal Descriptor for Rigid Body Motion Recognition, IEEE Transactions on Cybernetics, Vol. 48, No. 5, pp. 1513-1525, May 2018.
62 H. Chen and Y. F. Li, Three-stream Attention-aware Network for RGB-D Salient Object Detection, IEEE Transactions on Image Processing. Vol. 28, Issue 6, pp. 2825–2835, June 2019.
63 D. Su, Y. F. Li, H. Chen, Towards Precise Gaze Estimation for Mobile Head-mounted Gaze Tracking Systems, IEEE Transactions on Industrial Informatics, Vol. 15, No. 5, pp. 2660-2672, May 2019.
1. Y. F. Li, R. W. Daniel, and P. M. Sharkey, Extended Kalman Filtering for Robotic Proximity Sensing. Proc. 30th IEEE International Conference on Decision and Control (CDC 1991), pp. 1041-1042, Brighton, UK, Dec. 1991.
2. Y. F. Li and R. W. Daniel, Robot Tip Velocity Measurement for Direct End Effector Position Control. Proc. 1992 IEEE International Conference on Intelligent Robots and Systems (IROS 1992), pp. 998-1103, Raleigh, NC, USA, Jul. 1992.
3. Y. F. Li, M. H. Lee, M. A. Rodrigues and J. J. Rowland, A Visually Guided Robot System for Food Handling Applications. Proc. 1994 IEEE International Conference on Robotics and Automation (ICRA 1994), San Diego, USA, pp. 2591-1597, May 1994.
4. Y. F. Li, M. H. Lee, M. A. Rodrigues and J. J. Rowland, Supervisory Robotic Control under Vision Guidance. Proc. 1994 IEEE International Conference on Intelligent Robots and Systems (IROS 1994), Munich, Germany, pp. 2030--2035, Sept. 1994.
5. M. A. Rodrigues, Y. F. Li, M. H. Lee, J. J. Rowland and C. M. King, Robotic Grasping of Complex Objects without Full Geometrical Knowledge of the Shape. Proc. 1995 IEEE International Conference on Robotics and Automation (ICRA 1995), Nagoya, Japan, pp. 737--742, May 1995.
6. X. Chen and Y. F. Li, On the Dynamic Behavior of a Wrist Force Sensor for Robots. Proc. IEEE International Conference on Instrumentation and Measurement Technology (IMTC97), Ottawa, Canada, pp. 963--968, May 1997.
7. S. Y. Chen and Y. F. Li, A method of automatic sensor placement for robot vision in inspection tasks, Proc. IEEE International Conference on Robotics and Automation (ICRA 2002), Washington DC, USA, pp. 2545-2550, May 2002.
8. S. Y. Chen and Y. F. Li, Self recalibration of a structured light vision system from a single view, Proc. IEEE International Conference on Robotics and Automation (ICRA 2002), Washington DC, USA, pp. 2539-2544, May 2002.
9. S. Y. Chen and Y. F. Li, Optimum Viewpoint Planning for Model-Based Robot Vision, IEEE 2002 World Congress on Computational Intelligence (WCCI) / Congress on Evolutionary Computation, Hawaii, USA, pp. 634-639, May, 2002.
10. Z. Liu and Y. F. Li, Information Entropy Based Viewpoint Planning for Digitization of 3D Objects, Proc. IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA 2003), Kobe, Japan, pp. 1509-1514, July 2003.
11. Y. F. Li and Z. Liu, Uncertainty-Driven Viewpoint Planning for 3D Object Measurements, Proc. IEEE International Conference on Robotics and Automation (ICRA 2003), Taipei, Taiwan, pp.127-132, Sept. 2003.
12. S. Y. Chen and Y. F. Li, Dynamically Reconfigurable Visual Sensing for 3D Perception, Proc. IEEE International Conference on Robotics and Automation (ICRA 2003), Taipei, Taiwan, pp. 2129-2134, Sept. 2003.
13. S. Y. Chen and Y. F. Li, Active Viewpoint Planning for Model Construction, Proc. IEEE International Conference on Robotics and Automation (ICRA 2004), New Orleans, USA, pp. 4411-4416, May 2004.
14. B. Zhang and Y. F. Li, Dynamic Recalibration of an Active Vision System via Generic Homography, Proc. IEEE International Conference on Robotics and Automation (ICRA 2005), Barcelona, Spain, pp. 3917-3922, April 2005.
15. B. Zhang and Y. F. Li, Dynamic Calibration of a Structured Light System Via Planar Motion, IEEE International Conference on Intelligent Robots and Systems (IROS2005), Edmonton, Canada, pp. 1361-1366, Aug. 2005.
16. G. L. Wang, Y. F. Li, and D. Bi, Support Vector Network Enhanced Adaptive Friction Compensation, Proc. IEEE International Conference on Robotics and Automation (ICRA 2006), Orlando, Florida, USA, pp. 3699-3704, May 2006.
17. Y. F. Li and B. Zhang, Self-recalibration of the Relative Pose in a Structured Light System, IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing, China, pp. 5702-5707, Oct. 2006.
18. Y. Wu, Y. F. Li and Z. Hu, Easy Calibration for Para-catadioptric-like Cameras, IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing, China, pp. 5719-5724, Oct. 2006.
19. S. Y. Chen, Y. F. Li, et al, A Focal Cue for Metric Measurement of 3D Surfaces, IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing, China, pp. 5357-5362, Oct. 2006.
20. D. Xu, Y. F. Li and M. Tam, A Visual Positioning Method Based on Relative Orientation Detection for Mobile Robots, IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing, China, pp. 1243-1248, Oct. 2006.
21. B.W. He and Y. F. Li, A Next-Best-View Method With self-termination in Active Modeling of 3D Objects, IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing, China, pp. 5345-5350, Oct. 2006.
22. S. Chen, Y. F. Li and J. Zhang, Realtime Structured Light Vision with the Principle of Unique Color Codes, Proc. IEEE International Conference on Robotics and Automation (ICRA 2007), Roma, Italy, pp. 429-434, April 2007.
23. B. Zhang and Y. F. Li, A study on the relative pose problem in an active vision system with possibly varying focal lengths, Proc. IEEE International Conference on Robotics and Automation (ICRA 2007), Roma, Italy, pp. 1092-1097, April 2007.
24. S. Wu, Y. F. Li, et al, A Hierarchical Motion Trajectory Signature Descriptor, Proc. IEEE International Conference on Robotics and Automation (ICRA 2008), Pasadena, USA, pp. 3070-3075, May 2008.
25. W. Li and Y. F. Li, An analytical solution to optimal focal distance in catadioptric imaging systems, IEEE International Conference on Robotics and Automation (ICRA 2011), Shanghai, China, pp. 6300-6305, May 2011.
26. W. Li, Y. F. Li, et al, Generic radial distortion calibration of a novel single camera based panoramic stereoscopic system, IEEE International Conference on Robotics and Automation (ICRA 2011), Shanghai, China, pp. 6294-6299, May 2011.
27. T. Bai and Y. F. Li, Structured Sparse Representation Appearance Model for Robust Visual Tracking, IEEE International Conference on Robotics and Automation (ICRA 2011), Shanghai, China, pp. 4399-4404, May 2011.
28. Z. Li and Y. F. Li, Dense and Refined Microstructure 3D Measurement Method Based on Microscopic Photometric Stereo, IEEE International Conference on Robotics and Automation (ICRA 2011), Shanghai, China, pp. 6009-6014, May 2011.
29. X. Zhou, Y. F. Li, et al, Birth intensity online estimation in GM-PHD filter for multi-target visual tracking, IEEE International Conference on Intelligent Robots and Systems (IROS 2012), Vilamoura, Portugal, pp. 3893-3898, Oct. 2012.
30. T. Bai, Y. F. Li, et al, Robust and Fast Visual Tracking Using Constrained Sparse Coding and Dictionary Learning, IEEE International Conference on Intelligent Robots and Systems (IROS 2012), Vilamoura, Portugal, pp. 3824-3829, Oct. 2012.
31. T. Bai and Y. F. Li, Learning Appearance Manifolds with Structured Sparse Representation for Robust Visual Tracking, IEEE International Conference on Robotics and Automation (ICRA 2013), Karlsruhe, Germany, pp. 5768-5773, May 2013.
32. Z. Shao and Y. F. Li, A New Descriptor for Multiple 3D Motion Trajectories Recognition, IEEE International Conference on Robotics and Automation (ICRA 2013), Karlsruhe, Germany, pp. 4734-4739, May 2013.
33. X. Zhou, Y. F. Li, B. He, T. Bai, Game-Theoretical Mutual Occlusion Handling for Multi-Target Visual Tracking, IEEE International Conference on Intelligent Robots and Systems (IROS 2013), Tokyo, Japan, pp. 4201-4206, Nov. 2013.
34. Shao, Y. F. Li, Multiscale Integral Invariant for Motion Trajectory Matching and Recognition, 2014 IEEE International Conference on Mechatronics and Automation (ICMA2014), Tianjin, China, pp. 126-131, Aug. 2014. (Best Conference Paper).
35. Y. Tang, Y. F. Li, et al, Distortion Invariant Joint-Feature Framework for Visual Tracking in Catadioptric Omnidirectional Vision, IEEE International Conference on Robotics and Automation (ICRA 2015), Seattle, USA, pp. 2418-2423, May 2015.
36. Y. Guo, Y. F. Li, Z. Shao, DSRF: A Flexible Descriptor for Effective Rigid Body Motion Trajectory Recognition, 2016 IEEE International Conference on Mechatronics and Automation (ICMA2016), Harbin, China, pp. 1673-1678, Aug. 2016. (Best Conference Paper)
37. X. Zhou, H. Cai, Y. F. Li, et al, Two-Eye Model-Based Gaze Estimation from A Kinect Sensor, IEEE International Conference on Robotics and Automation (ICRA 2017), Singapore, pp. 1646-1653, May 2017.
38. D. Su, Y. F. Li, Development of Precise Mobile Gaze Tracking System based on Online Sparse Gaussian Process Regression and Smooth-Pursuit Identification, IEEE International Conference on Robotics and Automation (ICRA 2017), Singapore, pp. 159-164, May 2017.
39. H. Chen, Y. F. Li, D. Su, M³Net: Multi-scale Multi-path Multi-modal Fusion Network and Example Application to RGB-D Salient Object Detection, IEEE International Conference on Intelligent Robots and Systems (IROS 2017), Vancouver, Canada, pp. 4911-4916, Sept. 2017.
40. Y. Guo, Y. F. Li, D. Su, Z. Shao, MSM-HOG: A Trajectory Descriptor for Effective Motion Recognition, IEEE International Conference on Intelligent Robots and Systems (IROS 2017), Vancouver, Canada, pp. 4298-4303, Sept. 2017.
41. Z.
Shao, Y. F. Li, et al, A
Hierarchical Model for Action Recognition Based on Body Parts,
IEEE
International Conference on Robotics and Automation
(ICRA 2018),
Brisbane, Australia, May 2018.