Publications and Patents

Many of these publications are copyrighted by their respective publishers. Downloadable versions are not necessarily identical to the published versions. They are made available here for personal use only.

  1. paper figure
    J. Bowkett, S. Karumanchi and R. Detry, Grasping and Transport of Unstructured Collections of Massive Objects. In Field Robotics, 2: 385–405, 2022.
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  2. paper figure
    C. R. Carignan, R. Detry, M. C. Saaj, G. Marani and J. D. Vander Hook, Editorial: Robotic In-Situ Servicing, Assembly and Manufacturing. In Frontiers in Robotics and AI, 9, 2022.
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  3. paper figure
    C. C. Kessens, M. Kaplan, T. Rocks, P. R. Osteen, J. Rogers, E. Stump, A. Hurwitz, J. Fink, L. Quang, M. Gonzalez, J. Patel, M. DiBlasi, S. Patel, M. Weiker, D. Patel, J. Bowkett, R. Detry, S. Karumanchi, L. Matthies, J. Burdick, Y. Oza, A. Agarwal, A. Dornbush, D. M. Saxena, M. Likhachev, K. Schmeckpeper, K. Daniilidis, A. Kamat, A. Mandalika, S. Choudhury and S. S. Srinivasa, Human-Scale Mobile Manipulation Using RoMan. In Field Robotics, 2: 1232–1262, 2022.
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  4. paper figure
    A. Legrand, R. Detry and C. De Vleeschouwer, End-to-end Neural Estimation of Spacecraft Pose with Intermediate Detection of Keypoints. In AI4Space (ECCV Workshop), 2022.
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  5. paper figure
    S. Daftry, B. Ridge, W. Seto, T-H. Pham, P. Ilhardt, G. Maggiolino, M. Van der Merwe, A. Brinkman, J. Mayo, E. Kulczyski and R. Detry, Machine Vision based Sample-Tube Localization for Mars Sample Return. In IEEE Aerospace Conference, 2021.
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  6. paper figure
    T-H. Pham, W. Seto, S. Daftry, B. Ridge, J. Hansen, T. Thrush, M. V. d. Merwe, G. Maggiolino, A. Brinkman, J. Mayo, Y. Cheng, C. Padgett, E. Kulczycki and R. Detry, Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching. In IEEE Robotics and Automation Letters, 2021.
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  7. paper figure
    T-H. Pham, W. Seto, S. Daftry, A. Brinkman, J. Mayo, Y. Cheng, C. Padgett, E. Kulczycki and R. Detry, Rover Localization for Tube Pickup: Dataset, Methods and Validation for Mars Sample Return Planning. In IEEE Aerospace Conference, 2020.
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  8. paper figure
    S. Sonawani, R. Alimo, R. Detry, D. Jeong, A. Hess and H. B. Amor, Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks. In AIAA SciTech Forum, 2020.
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  9. paper figure
    S. Sonawani, S. Kailas, R. Detry, R. Alimo, S. Backus, R. McCormick, R. Mukherjee, K. Wehage and H. B. Amor, Robotic In-Space Assembly with Arm-Augmented Cubesats. In Opportunities and Challenges in Space Robotics (Workshop at ICRA 2020), 2020. (Best Poster Award).
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  10. paper figure
    K. Uckert, A. Parness, N. Chanover, E. J. Eshelman, N. Abcouwer, J. Nash, R. Detry, C. Fuller, D. Voelz, R. Hull, D. Flannery, R. Bhartia, K. S. Manatt, W. J. Abbey and P. Boston, Investigating Habitability with an Integrated Rock-Climbing Robot and Astrobiology Instrument Suite. In Astrobiology, 2020.
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  11. paper figure
    M. Hjelm, C. H. Ek, R. Detry and D. Kragic, Invariant Feature Mappings for Generalizing Affordance Understanding Using Regularized Metric Learning. In arXiv preprint arXiv:1901.10673, 2019.
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  12. paper figure
    L. Massari, C. M. Oddo, E. Sinibaldi, R. Detry, J. Bowkett and K. C. Carpenter, Tactile Sensing and Control of Robotic Manipulator Integrating Fiber Bragg Grating Strain-Sensor. In Frontiers In Neurorobotics, 2019.
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  13. S. Prasanna, L. Massari, E. Sinibaldi, R. Detry, J. Bowkett, K. Carpenter and C. M. Oddo, Neuromorphic tactile sensor array based on fiber Bragg gratings to encode object qualities. In SPIE Optics + Photonics, 2019.
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  14. paper figure
    P. Wu, J. Koch, T. Pailevanian, M. Garrett, D. Levine, C. Yahnker, M. Gildner, J. Nash and R. Detry, Reduced Backscatter for 3D Scene Reconstruction for Turbid Underwater Environments. In Underwater Robotics Perception (ICRA 2019 Workshop), 2019.
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  15. paper figure
    J. Bowkett, J. Burdick, L. Matthies and R. Detry, Semantic Understanding of Task Outcomes: Visually Identifying Failure Modes Autonomously Discovered in Simulation. In Representing a Complex World: Perception, Inference, and Learning for Joint Semantic, Geometric, and Physical Understanding (ICRA 2018 Workshop), 2018.
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  16. paper figure
    R. Detry, J. Koch, T. Pailevanian, M. Garrett, D. Levine, C. Yahnker and M. Gildner, Turbid-water Subsea Infrastructure 3D Reconstruction with Assisted Stereo. In MTS/IEEE OCEANS, 2018.
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  17. paper figure
    J. Koch, T. Pailevanian, M. Garrett, C. Yahnker, R. Detry, D. Levine and M. Gildner, Development of a Robotic Limb for Underwater Mobile Manipulation. In MTS/IEEE OCEANS, 2018.
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  18. paper figure
    B. Lee, R. Detry, J. Moreno, D. D. Lee and E. Kulczycki, Monocular Visual Pose Estimation via Online Sampling for Mars Sample-Tube Pickup. In IEEE Aerospace Conference, 2018.
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  19. J. Mahler, R. Platt, A. Rodriguez, M. Ciocarlie, A. Dollar, R. Detry, M. A. Roa, H. Yanco, A. Norton, J. Falco, K. v. Wyk, E. Messina, J. Leitner, D. Morrison, M. Mason, O. Brock, L. Odhner, A. Kurenkov, M. Matl and K. Goldberg, Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics. In IEEE Transactions on Automation Science and Engineering, 15 (4): 1440-1442, 2018.
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  20. M. Ono, K. Mitchel, A. Parness, K. Carpenter, S. Iacoponi, E. Simonson, A. Curtis, M. Ingham, C. Budney, T. Estlin, C. Parcheta, R. Detry, J. Nash, J-P. de la Croix, J. Kawata and K. Hand, Enceladus Vent Explorer Concept. In Outer Solar System: Prospective Energy and Material Resources, pages 665–717, Springer International Publishing, 2018.
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  21. P. Sobron, L. M Barge, J. Amend, J. Burnett, R. Detry, I. Doloboff, D. S Kelley, A. Marburg, A. K Misra, A. Nawaz and thers, Exploring Underwater Vent Systems: New Technologies and Strategies to Advance Life Detection and Scientific Understanding of Ocean Worlds. In AGU Fall Meeting Abstracts, 2018.
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  22. K Uckert, A Parness, N Chanover, D Voelz, PJ Boston, R Bhartia, D Flannery, N Abcouwer, C Fuller, J Nash, A Curtis, R Detry and R Hull, An Investigation of a Terrestrial Lava Tube with an Instrument Payload Integrated with the LEMUR Rock-Climbing Robot. In AGU Fall Meeting Abstracts, 2018.
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  23. paper figure
    M. Zhang, A. t. Pas, R. Detry and K. Daniilidis, Tactile-Visual Integration for Task-Aware Grasping. In RSS Pioneers (RSS 2018 Workshop), 2018.
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  24. paper figure
    R. Detry, J. Papon and L. Matthies, Learning to Grasp with a Deep Network for 2D Context and Geometric Prototypes for 3D Structure. In Learning and control for autonomous manipulation systems: the role of dimensionality reduction (ICRA 2017 Workshop), 2017.
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  25. paper figure
    R. Detry, J. Papon and L. Matthies, Semantic and Geometric Scene Understanding for Task-oriented Grasping of Novel Objects from a Single View. In Learning and control for autonomous manipulation systems: the role of dimensionality reduction (ICRA 2017 Workshop), 2017.
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  26. paper figure
    R. Detry, J. Papon and L. Matthies, Task-oriented Grasping with Semantic and Geometric Scene Understanding. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017. (Best Paper Award in Cognitive Robotics).
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  27. paper figure
    R. Detry, J. Papon and L. Matthies, Semantic and Geometric Scene Understanding for Single-view Task-oriented Grasping of Novel Objects. In Workshop on Spatial-Semantic Representations in Robotics (RSS 2017 Workshop), 2017.
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  28. E. Hyttinen, D. Kragic and R. Detry, Estimating tactile data for adaptive grasping of novel objects. In IEEE/RAS International Conference on Humanoid Robots, 2017.
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  29. paper figure
    J. Papon, R. Detry, P. Vieira, S. Brooks, T. Srinivasan, A. Peterson and E. Kulczycki, Martian Fetch: Finding and Retrieving Sample-Tubes on the Surface of Mars. In IEEE Aerospace Conference, 2017.
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  30. paper figure
    M. Zhang, R. Detry, L. Matthies and K. Daniilidis, Tactile-Vision Integration for Task-Compatible Fine-Part Manipulation. In Revisiting Contact – Turning a problem into a solution (RSS 2017 Workshop), 2017.
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  31. Y. Bekiroglu, A. Damianou, R. Detry, J. A Stork, D. Kragic and C. H. Ek, Probabilistic consolidation of grasp experience. In IEEE International Conference on Robotics and Automation, 2016.
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  32. M. Hjelm, C. H. Ek, R. Detry and D. Kragic, Learning Human Priors for Task-Constrained Grasping. In International Conference on Computer Vision Systems, Springer, 2015.
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  33. paper figure
    E. Hyttinen, D. Kragic and R. Detry, Learning the Tactile Signatures of Prototypical Object Parts for Robust Part-based Grasping of Novel Objects. In IEEE International Conference on Robotics and Automation, 2015.
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  34. paper figure
    A. Kleinhans, B. Rosman, M. Michalik, B. Tripp and R. Detry, G3DB: A Database of Successful and Failed Grasps with RGB-D Images, Point Clouds, Mesh Models and Gripper Parameters. In Robotic Hands, Grasping and Manipulation (ICRA 2015 workshop), 2015.
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  35. paper figure
    M. Kopicki, R. Detry, M. Adjigble, R. Stolkin, A. Leonardis and J. Wyatt, One shot learning and generation of dexterous grasps for novel objects. In International Journal of Robotics Research, 35 (8): 959-976, 2015.
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  36. L. Nalpantidis, R. Detry, D. Damen, G. Bleser, M. Cakmak and M. S. Erden, Cognitive Robotics Systems. In Journal of Intelligent & Robotic Systems, 80: 3, 2015.
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  37. M. Hjelm, R. Detry, C. H. Ek and D. Kragic, Representations for Cross-task, Cross-object Grasp Transfer. In IEEE International Conference on Robotics and Automation, 2014.
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  38. paper figure
    A. Kleinhans, S. Thill, B. Rosman, R. Detry and B. Tripp, Modelling primate control of grasping for robotics applications. In Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis (in conjunction with ECCV 2014), 2014.
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  39. paper figure
    M. Kopicki, R. Detry, F. Schmidt, C. Borst, R. Stolkin and J. L. Wyatt, Learning Dexterous Grasps That Generalise To Novel Objects By Combining Hand And Contact Models. In IEEE International Conference on Robotics and Automation, 2014.
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  40. S. M. Parvathi Krishna Moorthy, R. Detry, B. Boigelot and B. Mercatoris, A vision-based autonomous inter-row weeder. In ENVITAM PhD Student Day, 2014.
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  41. paper figure
    R. Detry, C. H. Ek, M. Madry and D. Kragic, Learning a Dictionary of Prototypical Grasp-predicting Parts from Grasping Experience. In IEEE International Conference on Robotics and Automation, 2013.
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  42. paper figure
    R. Detry, M. Hjelm, C. H. Ek and D. Kragic, Generalizing Task Parameters Through Modularization. In Autonomous Learning Workshop (Workshop at ICRA 2013), 2013.
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  43. paper figure
    R. Detry and J. Piater, Unsupervised Learning Of Predictive Parts For Cross-object Grasp Transfer. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013. (Finalist for the Best Cognitive Robotics Paper award).
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  44. M. Hjelm, C. H. Ek, R. Detry, H. Kjellström and D. Kragic, Sparse Summarization of Robotic Grasping Data. In IEEE International Conference on Robotics and Automation, 2013.
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  45. paper figure
    A. Rietzler, R. Detry, M. Kopicki, J. L. Wyatt and J. Piater, Inertially-safe Grasping of Novel Objects. In Cognitive Robotics Systems: Replicating Human Actions and Activities (Workshop at IROS 2013), 2013.
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  46. Y. Bekiroglu, R. Detry and D. Kragic, Grasp Stability from Vision and Touch. In Advances in Tactile Sensing and Touch-based Human Robot Interaction (Workshop at IROS 2012), 2012.
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  47. paper figure
    R. Detry, C. H. Ek, M. Madry, J. Piater and D. Kragic, Generalizing Grasps Across Partly Similar Objects. In IEEE International Conference on Robotics and Automation, 2012.
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  48. paper figure
    R. Detry, C. H. Ek, M. Madry and D. Kragic, Compressing Grasping Experience into a Dictionary of Prototypical Grasp-predicting Parts. In International Workshop on Human-Friendly Robotics, 2012.
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  49. paper figure
    M. Madry, C. H. Ek, R. Detry, K. Hang and D. Kragic, Improving Generalization for 3D Object Categorization with Global Structure Histograms. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012. (Finalist for the Best Cognitive Robotics Paper award).
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  50. paper figure
    Y. Bekiroglu, R. Detry and D. Kragic, Joint Observation of Object Pose and Tactile Imprints for Online Grasp Stability Assessment. In Manipulation Under Uncertainty (Workshop at IEEE ICRA 2011), 2011.
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  51. paper figure
    Y. Bekiroglu, R. Detry and D. Kragic, Learning Tactile Characterizations Of Object- And Pose-specific Grasps. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011.
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  52. paper figure
    L. Bodenhagen, R. Detry, J. Piater and N. Krüger, What a successful grasp tells about the success chances of grasps in its vicinity. In ICDL-EpiRob, 2011.
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  53. paper figure
    R. Detry, D. Kraft, O. Kroemer, L. Bodenhagen, J. Peters, N. Krüger and J. Piater, Learning Grasp Affordance Densities. In Paladyn. Journal of Behavioral Robotics, 2 (1): 1–17, 2011.
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  54. paper figure
    R. Detry and J. Piater, Grasp Generalization Via Predictive Parts. In Austrian Robotics Workshop, 2011.
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  55. paper figure
    J. Piater, S. Jodogne, R. Detry, D. Kraft, N. Krüger, O. Kroemer and J. Peters, Learning Visual Representations for Perception-Action Systems. In International Journal of Robotics Research, 30 (3): 294–307, 2011.
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  56. paper figure
    R. Detry, E. Başeski, M. Popović, Y. Touati, N. Krüger, O. Kroemer, J. Peters and J. Piater, Learning Continuous Grasp Affordances by Sensorimotor Exploration. In From Motor Learning to Interaction Learning in Robots, pages 451–465, Springer-Verlag, 2010.
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  57. paper figure
    R. Detry, D. Kraft, A. G. Buch, N. Krüger and J. Piater, Refining Grasp Affordance Models by Experience. In IEEE International Conference on Robotics and Automation, pages 2287–2293, 2010.
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  58. paper figure
    R. Detry and J. Piater, Continuous Surface-point Distributions for 3D Object Pose Estimation and Recognition. In Asian Conference on Computer Vision, pages 572–585, 2010.
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  59. paper figure
    R. Detry, Learning of Multi-Dimensional, Multi-Modal Features for Robotic Grasping. Ph.D. Thesis, University of Liège, 2010.
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  60. paper figure
    A. Erkan, O. Kroemer, R. Detry, Y. Altun, J. Piater and J. Peters, Learning Probabilistic Discriminative Models of Grasp Affordances under Limited Supervision. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 1586–1591, 2010.
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  61. paper figure
    D. Kraft, R. Detry, N. Pugeault, E. Başeski, F. Guerin, J. Piater and N. Krüger, Development of Object and Grasping Knowledge by Robot Exploration. In IEEE Transactions on Autonomous Mental Development, 2 (4): 368–383, 2010.
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  62. paper figure
    O. Kroemer, R. Detry, J. Piater and J. Peters, Adapting Preshaped Grasping Movements using Vision Descriptors. In From Animals to Animats 11 – International Conference on the Simulation of Adaptive Behavior, pages 156–166, 2010.
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  63. paper figure
    O. Kroemer, R. Detry, J. Piater and J. Peters, Grasping with Vision Descriptors and Motor Primitives. In International Conference on Informatics in Control, Automation and Robotics, 2010. (Best Paper Award in Robotics and Automation).
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  64. paper figure
    O. Kroemer, R. Detry, J. Piater and J. Peters, Combining Active Learning and Reactive Control for Robot Grasping. In Robotics and Autonomous Systems, 58 (9): 1105–1116, 2010.
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  65. paper figure
    R. Detry, N. Pugeault and J. Piater, A Probabilistic Framework for 3D Visual Object Representation. In IEEE Trans. Pattern Anal. Mach. Intell., 31 (10): 1790–1803, 2009.
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  66. paper figure
    R. Detry, E. Başeski, N. Krüger, M. Popović, Y. Touati and J. Piater, Autonomous Learning of Object-specific Grasp Affordance Densities. In Approaches to Sensorimotor Learning on Humanoid Robots (Workshop at the IEEE International Conference on Robotics and Automation), 2009.
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  67. paper figure
    R. Detry, E. Başeski, N. Krüger, M. Popović, Y. Touati, O. Kroemer, J. Peters and J. Piater, Learning Object-specific Grasp Affordance Densities. In IEEE International Conference on Development and Learning, pages 1–7, 2009.
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  68. paper figure
    D. Kraft, R. Detry, N. Pugeault, E. Başeski, J. Piater and N. Krüger, Learning Objects and Grasp Affordances through Autonomous Exploration. In International Conference on Computer Vision Systems, pages 235–244, 2009.
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  69. paper figure
    O. Kroemer, R. Detry, J. Piater and J. Peters, Active Learning using Mean Shift Optimization for Robot Grasping. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 2610–2615, 2009.
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  70. paper figure
    J. Piater, S. Jodogne, R. Detry, D. Kraft, N. Krüger, O. Kroemer and J. Peters, Learning Visual Representations for Interactive Systems. In International Symposium on Robotics Research, 2009.
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  71. paper figure
    R. Detry, N. Pugeault and J. H. Piater, Probabilistic Pose Recovery Using Learned Hierarchical Object Models. In International Cognitive Vision Workshop (Workshop at the 6th International Conference on Vision Systems), pages 107–120, Springer-Verlag, Berlin, Heidelberg, 2008.
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  72. paper figure
    D. Kraft, E. Başeski, M. Popović, A. M. Batog, A. Kjær-Nielsen, N. Krüger, R. Petrick, C. Geib, N. Pugeault, M. Steedman, T. Asfour, R. Dillmann, S. Kalkan, F. Wörgötter, B. Hommel, R. Detry and J. Piater, Exploration and Planning in a Three-Level Cognitive Architecture. In International Conference on Cognitive Systems (Workshop at the IEEE International Conference on Robotics and Automation), 2008.
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  73. paper figure
    J. Piater, F. Scalzo and R. Detry, Vision as Inference in a Hierarchical Markov Network. In International Conference on Cognitive and Neural Systems, 2008.
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  74. paper figure
    J. Piater and R. Detry, 3D Probabilistic Representations for Vision and Action. In Robotics Challenges for Machine Learning II (Workshop at the IEEE/RSJ International Conference on Intelligent Robots and Systems), 2008.
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  75. paper figure
    R. Detry and J. H. Piater, Hierarchical Integration of Local 3D Features for Probabilistic Pose Recovery. In Robot Manipulation: Sensing and Adapting to the Real World (Workshop at Robotics, Science and Systems), 2007.
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Patents

  1. paper figure
    Renaud Detry, Matt Gildner, Jeremy Nash, A 3D Perception System for Underwater Robot Manipulation Autonomy. Caltech provisional patent, CIT 8127-P2, 2019.

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