16.7.4.7.4 Actions, Grasping, Robot Grasping, Shape for Grasp

Chapter Contents (Back)
Grasping. See also Hand Gesture Systems, Gesture Recognition.

Foresti, G.L., Pellegrino, F.A.,
Automatic Visual Recognition of Deformable Objects for Grasping and Manipulation,
SMC-C(34), No. 3, August 2004, pp. 325-333.
IEEE Abstract. 0409
BibRef

Carrasco, M.[Miguel], Clady, X.[Xavier],
Exploiting eye-hand coordination to detect grasping movements,
IVC(30), No. 11, November 2012, pp. 860-874.
Elsevier DOI 1211
Visual system; Grasping movements; Motion analysis; Hand posture; Hand gesture; Object recognition BibRef

Colasanto, L., Suarez, R., Rosell, J.,
Hybrid Mapping for the Assistance of Teleoperated Grasping Tasks,
SMCS(43), No. 2, March 2013, pp. 390-401.
IEEE DOI 1303
BibRef

Zhou, K.[Kai], Richtsfeld, A.[Andreas], Varadarajan, K.M.[Karthik Mahesh], Zillich, M.[Michael], Vincze, M.[Markus],
Combining Plane Estimation with Shape Detection for Holistic Scene Understanding,
ACIVS11(736-747).
Springer DOI 1108
BibRef

Varadarajan, K.M.[Karthik Mahesh], Vincze, M.[Markus],
AfNet: The Affordance Network,
ACCV12(I:512-523).
Springer DOI 1304
BibRef
Earlier:
Knowledge Representation and Inference for Grasp Affordances,
CVS11(173-182).
Springer DOI 1109
BibRef
And:
Surface reconstruction for RGB-D data using real-time depth propagation,
Dense11(723-724).
IEEE DOI 1201
BibRef
Earlier:
Real-time depth diffusion for 3D surface reconstruction,
ICIP10(4149-4152).
IEEE DOI 1009
BibRef

Olufs, S.[Sven], Vincze, M.[Markus],
Room-structure estimation in Manhattan-like environments from dense 2˝D range data using minumum entropy and histograms,
WACV11(118-124).
IEEE DOI 1101
BibRef

Richtsfeld, M.[Mario], Vincze, M.[Markus],
Point Cloud Segmentation Based on Radial Reflection,
CAIP09(955-962).
Springer DOI 0909
BibRef

Lee, C.S.[Chan-Su], Chun, S.[Sung_Yong], Park, S.W.[Shin Won],
Tracking hand rotation and various grasping gestures from an IR camera using extended cylindrical manifold embedding,
CVIU(117), No. 12, 2013, pp. 1711-1723.
Elsevier DOI 1310
BibRef
Earlier: A1, A3, Only:
Tracking Hand Rotation and Grasping from an IR Camera Using Cylindrical Manifold Embedding,
ICPR10(2612-2615).
IEEE DOI 1008
Tracking BibRef

Song, K.T., Jiang, S.Y., Lin, M.H.,
Interactive Teleoperation of a Mobile Manipulator Using a Shared-Control Approach,
HMS(46), No. 6, December 2016, pp. 834-845.
IEEE DOI 1612
Grasping BibRef

Cotugno, G., Althoefer, K., Nanayakkara, T.,
The Role of the Thumb: Study of Finger Motion in Grasping and Reachability Space in Human and Robotic Hands,
SMCS(47), No. 7, July 2017, pp. 1061-1070.
IEEE DOI 1706
Grasping, Grippers, Kinematics, Robot kinematics, Standards, Thumb, Dexterous manipulation, grasping, humanoid robots, kinematics, multifingered, hands BibRef

Cai, M., Kitani, K.M., Sato, Y.,
An Ego-Vision System for Hand Grasp Analysis,
HMS(47), No. 4, August 2017, pp. 524-535.
IEEE DOI 1708
Cameras, Feature extraction, Image segmentation, Robots, Sensors, Taxonomy, Visualization, Egocentric vision, hand grasp, recognition, wearable, system BibRef

Song, P.[Peng], Fu, Z.Q.[Zhong-Qi], Liu, L.G.[Li-Gang],
Grasp planning via hand-object geometric fitting,
VC(34), No. 2, February 2018, pp. 257-270.
WWW Link. 1802
BibRef

Asif, U.[Umar], Bennamoun, M.[Mohammed], Sohel, F.A.[Ferdous A.],
A Multi-Modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling,
PAMI(40), No. 9, September 2018, pp. 2051-2065.
IEEE DOI 1808
BibRef
Earlier:
Model-Free Segmentation and Grasp Selection of Unknown Stacked Objects,
ECCV14(V: 659-674).
Springer DOI 1408
Labeling, Solid modeling, Proposals, Semantics, Image reconstruction, Computational modeling, semantic segmentation BibRef

González-Díaz, I.[Iván], Benois-Pineau, J.[Jenny], Domenger, J.P.[Jean-Philippe], Cattaert, D.[Daniel], de Rugy, A.[Aymar],
Perceptually-guided deep neural networks for ego-action prediction: Object grasping,
PR(88), 2019, pp. 223-235.
Elsevier DOI 1901
Human perception, Grasping action prediction, Weakly supervised active object detection BibRef

Chauhan, R., Sebastian, B., Ben-Tzvi, P.,
Grasp Prediction Toward Naturalistic Exoskeleton Glove Control,
HMS(50), No. 1, February 2020, pp. 22-31.
IEEE DOI 2001
Prediction algorithms, Exoskeletons, Principal component analysis, Sensors, Electromyography, upper limb BibRef

Irmak, E.C.[Erdem Can], Sahillioglu, Y.[Yusuf],
3D indirect shape retrieval based on hand interaction,
VC(36), No. 1, January 2020, pp. 5-17.
WWW Link. 2001
BibRef


Gong, S., Bahri, M., Bronstein, M.M., Zafeiriou, S.P.[Stefanos P.],
Geometrically Principled Connections in Graph Neural Networks,
CVPR20(11412-11421)
IEEE DOI 2008
Convolution, Neural networks, Machine learning, Kernel, Interpolation, Task analysis, Shape BibRef

Fang, H., Wang, C., Gou, M., Lu, C.,
GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping,
CVPR20(11441-11450)
IEEE DOI 2008
Grasping, Cameras, Robot vision systems, Benchmark testing, Machine learning, Robustness BibRef

Shan, D., Geng, J., Shu, M., Fouhey, D.F.,
Understanding Human Hands in Contact at Internet Scale,
CVPR20(9866-9875)
IEEE DOI 2008
Videos, Internet, Image reconstruction, YouTube, Computer vision, Data mining BibRef

James, S.[Stephen], Wohlhart, P.[Paul], Kalakrishnan, M.[Mrinal], Kalashnikov, D.[Dmitry], Irpan, A.[Alex], Ibarz, J.[Julian], Levine, S.[Sergey], Hadsell, R.[Raia], Bousmalis, K.[Konstantinos],
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks,
CVPR19(12619-12629).
IEEE DOI 2002
BibRef

Brahmbhatt, S.[Samarth], Ham, C.[Cusuh], Kemp, C.C.[Charles C.], Hays, J.[James],
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging,
CVPR19(8701-8711).
IEEE DOI 2002
BibRef

Tang, Q.[Qirong], Hu, X.[Xue], Chu, Z.[Zhugang], Wu, S.[Shun],
6d Gripper Pose Estimation from RGB-D Image,
CVS19(120-125).
Springer DOI 1912
BibRef

Kiatos, M.[Marios], Malassiotis, S.[Sotiris],
Grasping Unknown Objects by Exploiting Complementarity with Robot Hand Geometry,
CVS19(88-97).
Springer DOI 1912
BibRef

Gritsenko, P.[Pavel], Gritsenko, I.[Igor], Seidakhmet, A.[Askar], Kwolek, B.[Bogdan],
Plane-Based Humanoid Robot Navigation and Object Model Construction for Grasping,
4DPose18(I:649-664).
Springer DOI 1905
BibRef

Ghazaei, G.[Ghazal], Laina, I.[Iro], Rupprecht, C.[Christian], Tombari, F.[Federico], Navab, N.[Nassir], Nazarpour, K.[Kianoush],
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions,
ACCV18(IV:38-55).
Springer DOI 1906
BibRef

Gupta, K., Burschka, D., Bhavsar, A.,
Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions,
Hands16(1232-1239)
IEEE DOI 1612
BibRef

de Gregorio, D.[Daniele], Tombari, F.[Federico], di Stefano, L.[Luigi],
RobotFusion: Grasping with a Robotic Manipulator via Multi-view Reconstruction,
6DPose16(III: 634-647).
Springer DOI 1611
BibRef

Lakani, S.R.[Safoura Rezapour], Rodríguez-Sánchez, A.J.[Antonio J.], Piater, J.H.[Justus H.],
Can Affordances Guide Object Decomposition into Semantically Meaningful Parts?,
WACV17(82-90)
IEEE DOI 1609
Computer vision, Grasping, Histograms, Semantics, Shape, Visualization BibRef

Yang, Y.Z.[Ye-Zhou], Fermuller, C.[Cornelia], Li, Y.[Yi], Aloimonos, Y.[Yiannis],
Grasp type revisited: A modern perspective on a classical feature for vision,
CVPR15(400-408)
IEEE DOI 1510
BibRef

Huang, D.A.[De-An], Ma, M.H.[Ming-Huang], Ma, W.C.[Wei-Chiu], Kitani, K.M.[Kris M.],
How do we use our hands? Discovering a diverse set of common grasps,
CVPR15(666-675)
IEEE DOI 1510
BibRef

Lakani, S.R.[Safoura Rezapour], Popa, M.[Mirela], Rodriguez-Sanchez, A.J.[Antonio J.], Piater, J.H.[Justus H.],
CPS: 3D Compositional Part Segmentation through Grasping,
CRV15(117-124)
IEEE DOI 1507
Feature extraction BibRef

Kim, J.W., You, S., Ji, S.H., Kim, H.S.,
Real-Time Hand Grasp Recognition Using Weakly Supervised Two-Stage Convolutional Neural Networks for Understanding Manipulation Actions,
DeepLearnRV17(481-483)
IEEE DOI 1709
Feature extraction, Grasping, Image recognition, Network architecture, Pattern recognition, Real-time, systems BibRef

Thonnagith, P., Sudsang, A.,
New hand posture classification strategy for finding kinematically-feasible precision grasps,
ICARCV10(1583-1588).
IEEE DOI 1109
BibRef

Wörsdörfer, F.[Florian], Stock, F.[Florian], Bayro-Corrochano, E.[Eduardo], Hildenbrand, D.[Dietmar],
Optimizations and Performance of a Robotics Grasping Algorithm Described in Geometric Algebra,
CIARP09(263-271).
Springer DOI 0911
BibRef

Yasumuro, Y.[Yoshihiro], Yamazaki, M.[Masayuki], Imura, M.[Masataka], Manabe, Y.[Yoshitsugu], Chihara, K.[Kunihiro],
Grasp Motion Synthesis Based on Object Features,
AMDO06(305-314).
Springer DOI 0607
BibRef

Taylor, M.J., Blake, A.,
Grasping the Apparent Contour,
ECCV94(B:25-34).
Springer DOI BibRef 9400

Blake, A., Taylor, M.J., and Cox, A.,
Grasping Visual Symmetry,
ICCV93(724-733).
IEEE DOI Symmetry as the locus of bi-tangent circles. BibRef 9300

Gatrell, L.B.[Lance B.],
CAD-Based Grasp Synthesis Utilizing Polygons, Edges, and Vertices,
CRA89(184-189). BibRef 8900

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Carried Objects, Carrying Objects .


Last update:Oct 19, 2020 at 15:02:28