[174] Brijen THANANJEYAN, Justin KERR, Huang HUANG, Joseph E. GONZALEZ et Ken GOLDBERG. « All You Need is LUV : Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators ». In : *CoRR* abs/2203.04566 (2022). DOI : 10.48550/arXiv.2203.04566. arXiv : 2203.04566. URL : https://doi.org/10.48550/arXiv.2203.04566.

[175] Yoshihisa TSURUMINE, Yunduan CUI, Eiji UCHIBE et Takamitsu MATSUBARA. « Deep reinforcement learning with smooth policy update : Application to robotic cloth manipulation ». In : *Robotics and Autonomous Systems* 112 (2019), p. 72-83. DOI : 10.1016/j.robot.2018.11.004. URL : https://doi.org/10.1016/j.robot.2018.11.004.

[176] Emre UGUR et Justus H. PIATER. « Bottom-up learning of object categories, action effects and logical rules : From continuous manipulative exploration to symbolic planning ». In : *IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015*. IEEE, 2015, p. 2627-2633. DOI : 10.1109/ICRA.2015.7139553. URL : https://doi.org/10.1109/ICRA.2015.7139553.

[177] LIVRE Vladimir Naumovich VAPNI. *The Nature of Statistical Learning Theory*. Springer, 1995. DOI : 10.1007/978-1-4757-2440-0. URL : https://doi.org/10.1007/978-1-4757-2440-0.

[178] Giulia VEZZANI, Ugo PATTACINI et Lorenzo NATALE. « A grasping approach based on superquadric models ». In : *2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017*. IEEE, 2017, p. 1579-1586. DOI : 10.1109/ICRA.2017.7989187. URL : https://doi.org/10.1109/ICRA.2017.7989187.

[179] Ulrich VIERECK, Andreas ten PAS, Kate SAENKO et Robert Platt JR. « Learning a visuomotor controller for real world robotic grasping using simulated depth images ». In : *Conference on Robot Learning (CoRL)*. 2017.

[180] Ruben VILLEGAS, Arkanath PATHAK, Harini KANNAN, Dumitru ERHAN, Quoc V. LE et Honglak LEE. « High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks ». In : *Advances in Neural Information Processing Systems 32 : Annual Conference on Neural Information Processing Systems 2019, NeuralIPS 2019, December 8-14, 2019, Vancouver, BC, Canada*. Sous la dir. d'Hanna M. WALLACH, Hugo LAROCHELLE, Alina BEYGELZIMER, Florence D'ALCHÉ-BUC, Emily B. FOX et Roman GARNETT. 2019, p. 81-91. URL : https://proceedings.neurips.cc/paper/2019/hash/f7177163c833dff4b38fc8d2872f1ec6-Abstract.html.

[181] Mohit VOHRA, Ravi PRAKASH et Laxmidhar BEHERA. « Real-time Grasp Pose Estimation for Novel Objects in Densely Cluttered Environment ». In : *28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019, New Delhi, India, October 14-18, 2019*. IEEE, 2019, p. 1-6. DOI : 10.1109/RO-MAN46459.2019.8956438. URL : https://doi.org/10.1109/RO-MAN46459.2019.8956438.
[182] Yongbiao WAN, Yan WANG et Chuan Fei GUO. « Recent progresses on flexible tactile sensors ». In : *Materials Today Physics* 1 (2017), p. 61-73. ISSN : 2542-5293. DOI : https://doi.org/10.1016/j.mtphys.2017.06.002. URL : https://www.sciencedirect.com/science/article/pii/S2542529317301001.

[183] Bin WANG et Piotr DUDEK. « A Fast Self-Tuning Background Subtraction Algorithm ». In : *IEEE Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2014, Columbus, OH, USA, June 23-28, 2014*. IEEE Computer Society, 2014, p. 401-404. DOI : 10.1109/CVPRW.2014.64. URL : https://doi.org/10.1109/CVPRW.2014.64.

[184] David WANG, David TSENG, Pusong LI, Yiding JIANG, Menglong GUO, Michael DANIELCZUK, Jeffrey MAHLER, Jeffrey ICHNOWSKI et Ken GOLDBERG. « Adversarial Grasp Objects ». In : *15th IEEE International Conference on Automation Science and Engineering, CASE 2019, Vancouver, BC, Canada, August 22-26, 2019*. IEEE, 2019, p. 241-248. DOI : 10.1109/COASE.2019.8843059. URL : https://doi.org/10.1109/COASE.2019.8843059.

[185] DeLiang L. WANG. « Unsupervised Learning : Foundations of Neural Computation ». In : *AI Magazine* 22.2 (2001), p. 101-102. DOI : 10.1609/aimag.v22i2.1565. URL : https://doi.org/10.1609/aimag.v22i2.1565.

[186] Dexin WANG, Chunsheng LIU, Faliang CHANG, Nanjun LI et Guangxin LI. « High-Performance Pixel-Level Grasp Detection Based on Adaptive Grasping and Grasp-Aware Network ». In : *IEEE Transactions on Industrial Electronics* 69.11 (2022), p. 11611-11621. DOI : 10.1109/TIE.2021.3120474. URL : https://doi.org/10.1109/TIE.2021.3120474.

[187] Shaoxiong WANG, Mike LAMBETA, Po-Wei CHOU et Roberto CALANDRA. « TACTO : A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors ». In : *IEEE Robotics and Automation Letters* 7.2 (2022), p. 3930-3937. DOI : 10.1109/LRA.2022.3146945. URL : https://doi.org/10.1109/LRA.2022.3146945.

[188] Shengfan WANG, Xin JIANG, Jie ZHAO, Xiaoman WANG, Weiguo ZHOU et Yunhui LIU. « Efficient Fully Convolution Neural Network for Generating Pixel Wise Robotic Grasps With High Resolution Images ». In : *2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019, Dali, China, December 6-8, 2019*. IEEE, 2019, p. 474-480. DOI : 10.1109/ROBI049542.2019.8961711. URL : https://doi.org/10.1109/ROBI049542.2019.8961711.

[189] Yue WANG, Yongbin SUN, Ziwei LIU, Sanjay E. SARMA, Michael M. BRONSTEIN et Justin M. SOLOMON. « Dynamic Graph CNN for Learning on Point Clouds ». In : *ACM Transactions on Graphics* 38.5 (2019), 146 :1-146 :12. DOI : 10.1145/3326362. URL : https://doi.org/10.1145/3326362.

[190] Wei WEI, Yongkang LUO, Fuyu LI, Guangyun XU, Jun ZHONG, Wanyi LI et Peng WANG. « GPR : Grasp Pose Refinement Network for Cluttered Scenes ». In : *IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021*. IEEE, 2021, p. 4295-4302. DOI : 10.1109/ICRA48506.2021.9561868. URL : https://doi.org/10.1109/ICRA48506.2021.9561868.
[191] Ruoshi WEN, Kai YUAN, Qiang WANG, Shuai HENG et Zhibin LI. « Force-Guided High-Precision Grasping Control of Fragile and Deformable Objects Using sEMG-Based Force Prediction ». In : *IEEE Robotics and Automation Letters* 5.2 (2020), p. 2762-2769. DOI : 10.1109/LRA.2020.2974439. URL : https://doi.org/10.1109/LRA.2020.2974439.

[192] Lilian WENG. « From Autoencoder to Beta-VAE ». In : lilianweng.github.io (2018). URL : https://lilianweng.github.io/posts/2018-08-12-vae/.

[193] Walter WOHLKINGER, Aitor ALDOMA, Radu Bogdan RUSU et Markus VINCZE. « 3DNet : Large-scale object class recognition from CAD models ». In : *IEEE International Conference on Robotics and Automation, ICRA 2012, 14-18 May, 2012, St. Paul, Minnesota, USA*. IEEE, 2012, p. 5384-5391. DOI : 10.1109/ICRA.2012.6225116. URL : https://doi.org/10.1109/ICRA.2012.6225116.

[194] Bohan WU, Suraj NAIR, Roberto MARTIN-MARTIN, Li FEI-FEI et Chelsea FINN. « Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction ». In : *IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021*. Computer Vision Foundation / IEEE, 2021, p. 2318-2328. DOI : 10.1109/CVPR46437.2021.00235. URL : https://openaccess.thecvf.com/content/CVPR2021/html/Wu_Greedy_Hierarchical_Variational_Autoencoders_for_Large-Scale_Video_Prediction_CVPR_2021_paper.html.

[195] Zhirong WU, Shuran SONG, Aditya KHOSLA, Fisher YU, Linguang ZHANG, Xiaoou TANG et Jianxiong XIAO. « 3D ShapeNets : A deep representation for volumetric shapes ». In : *IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7-12, 2015*. IEEE Computer Society, 2015, p. 1912-1920. DOI : 10.1109/CVPR.2015.7298801. URL : https://doi.org/10.1109/CVPR.2015.7298801.

[196] Alessio XOMPERO, Ricardo SANCHEZ-MATILLA, Apostolos MODAS, Pascal FROSSARD et Andrea CAVALLARO. « Multi-View Shape Estimation of Transparent Containers ». In : *2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020*. IEEE, 2020, p. 2363-2367. DOI : 10.1109/ICASSP40776.2020.9054112. URL : https://doi.org/10.1109/ICASSP40776.2020.9054112.

[197] Chi XU, Jiale CHEN, Mengyang YAO, Jun ZHOU, Lijun ZHANG et Yi LIU. « 6DoF Pose Estimation of Transparent Object from a Single RGB-D Image ». In : *Sensors* 20.23 (2020), p. 6790. DOI : 10.3390/s20236790. URL : https://doi.org/10.3390/s20236790.

[198] Danfei XU, Dragomir ANGUELOV et Ashesh JAIN. « PointFusion : Deep Sensor Fusion for 3D Bounding Box Estimation ». In : *2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018*. Computer Vision Foundation / IEEE Computer Society, 2018, p. 244-253. DOI : 10.1109/CVPR.2018.00033. URL : http://openaccess.thecvf.com/content_cvpr_2018/html/Xu_PointFusion_Deep_Sensor_CVPR_2018_paper.html.
[199] Daniel YANG, Tarik TOSUN, Benjamin EISNER, Volkan ISLER et Daniel D. LEE. « Robotic Grasping through Combined Image-Based Grasp Proposal and 3D Reconstruction ». In : *IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021*. IEEE, 2021, p. 6350-6356.
DOI : 10.1109/ICRA48506.2021.9562046. URL : https://doi.org/10.1109/ICRA48506.2021.9562046.

[200] YoungJoon YOO, Sangdoo YUN, Hyung JIN CHANG, Yiannis DEMIRIS et Jin YOUNG CHOI. « Variational autoencoded regression : high dimensional regression of visual data on complex manifold ». In : *Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)*. 2017.

[201] Kuan-Ting YU et Alberto RODRIGUEZ. « Realtime State Estimation with Tactile and Visual Sensing. Application to Planar Manipulation ». In : *2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018*. IEEE, 2018, p. 7778-7785. DOI : 10.1109/ICRA.2018.8463183.
URL : https://doi.org/10.1109/ICRA.2018.8463183.

[202] Yingying YU, Zhiqiang CAO, Shuang LIANG, Wenjie GENG et Junzhi YU. « A novel vision-based grasping method under occlusion for manipulating robotic system ». In : *IEEE Sensors Journal* 20.18 (2020), p. 10996-11006.

[203] Wenzhen YUAN, Siyuan DONG et Edward H. ADELSON. « GelSight : High-Resolution Robot Tactile Sensors for Estimating Geometry and Force ». In : *Sensors* 17.12 (2017), p. 2762. DOI : 10.3390/s17122762. URL : https://doi.org/10.3390/s17122762.

[204] Andy ZENG, Shuran SONG, Stefan WELKER, Johnny LEE, Alberto RODRIGUEZ et Thomas A. FUNKHOUSER. « Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning ». In : *2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018*. IEEE, 2018, p. 4238-4245. DOI : 10.1109/IROS.2018.8593986.
URL : https://doi.org/10.1109/IROS.2018.8593986.

[205] Andy ZENG, Shuran SONG, Kuan-Ting YU, Elliott DONLON, Francois Robert HOGAN, Maria BAUZÁ, Daolin MA, Orion TAYLOR, Melody LIU, Eudald ROMO, Nima FAZELI, Ferran ALET, Nikhil Chavan DAFLE, Rachel M. HOLLADAY, Isabella MORONA, Prem Qu NAIR, Druck GREEN, Ian H. TAYLOR, Weber LIU, Thomas A. FUNKHOUSER et Alberto RODRIGUEZ. « Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching ». In : *International Journal of Robotics Research* 41.7 (2022), p. 690-705. DOI : 10.1177/0278364919868017. URL : https://doi.org/10.1177/0278364919868017.

[206] Hanbo ZHANG, Jian TANG, Shiguang SUN et Xuguang LAN. « Robotic Grasping from Classical to Modern : A Survey ». In : *CoRR* abs/2202.03631 (2022). arXiv : 2202.03631. URL : https://arxiv.org/abs/2202.03631.

[207] Hao ZHANG, Hongzhuo LIANG, Lin CONG, Jianzhi LYU, Long ZENG, Pingfa FENG et Jianwei ZHANG. « Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses ». In : *CoRR* abs/2302.13328 (2023). DOI : 10.48550/arXiv.2302.13328. arXiv : 2302.13328. URL : https://doi.org/10.48550/arXiv.2302.13328.
[208] Tianhao ZHANG, Zoe MCCARTHY, Owen JOW, Dennis LEE, Xi CHEN, Ken GOLDBERG et Pieter ABBEEL. « Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation ». In : 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018. IEEE, 2018, p. 1-8. DOI : 10.1109/ICRA.2018.8461249. URL : https://doi.org/10.1109/ICRA.2018.8461249.

[209] Binglei ZHAO, Hanbo ZHANG, Xuguang LAN, Haoyu WANG, Zhiqiang TIAN et Nanning ZHENG. « Regnet : Region-based grasp network for end-to-end grasp detection in point clouds ». In : 2021 IEEE International Conference on Robotics and Automation (ICRA) . IEEE. 2021, p. 13474-13480.

[210] Xupeng ZHU, Dian WANG, Ondrej BIZA, Guanang SU, Robin WALTERS et Robert PLATT. « Sample Efficient Grasp Learning Using Equivariant Models ». In : Proceedings of Robotics : Science and Systems (RSS) (2022).

[211] Xupeng ZHU, Dian WANG, Ondrej BIZA, Guanang SU, Robin WALTERS et Robert PLATT. « Sample Efficient Grasp Learning Using Equivariant Models ». In : CoRR abs/2202.09468 (2022). arXiv : 2202.09468. URL : https://arxiv.org/abs/2202.09468.

[212] Zoran ZIVKOVIC. « Improved Adaptive Gaussian Mixture Model for Background Subtraction ». In : 17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, UK, August 23-26, 2004 . IEEE Computer Society, 2004, p. 28-31. DOI : 10.1109/ICPR.2004.1333992. URL : https://doi.org/10.1109/ICPR.2004.1333992.

[213] Zoran ZIVKOVIC et Ferdinand van der HEIJDEN. « Efficient adaptive density estimation per image pixel for the task of background subtraction ». In : Pattern Recognition Letters 27.7 (2006), p. 773-780. DOI : 10.1016/j.patrec.2005.11.005. URL : https://doi.org/10.1016/j.patrec.2005.11.005.