Bard C, Troccaz J, (1990) Automatic preshaping for a dextrous hand from a simple description of objects. In: International workshop on intelligent robots and systems, Ibaraki, Japan, pp. 865-872. New York: IEEE.
Bekiroglu Y, Huebner K, Kragic D, (2011) Integrating grasp planning with online stability assessment using tactile sensing. In: International conference on robotics and automation, Shanghai, China, pp. 4750-4755. New York: IEEE.
Ben Amor H, Kroemer O, Hillenbrand U, et al. (2012) Generalization of human grasping for multi-fingered robot hands. In: International conference on intelligent robots and systems, Vilamoura, Portugal, pp. 2043-2050. New York: IEEE.
Bicchi A, Kumar V, (2000) Robotic grasping and contact: A review. In: International conference on robotics and automation, Washington DC, USA, pp. 348-353. New York: IEEE.
Borra E, Gerbella M, Rozzi S, et al. (2011) Anatomical evidence for the involvement of the macaque ventrolateral prefrontal area 12r in controlling goal-directed actions. The Journal of Neuroscience 31 (34): 12351-12363.
Boutselis GI, Bechlioulis CP, Liarokapis MV, et al. (2014) Task specific robust grasping for multifingered robot hands. In: International conference on robotics and automation, Hong Kong, China, pp. 858-863. New York: IEEE.
Coelho J, Piater J, Grupen R, (2000) Developing haptic and visual perceptual categories for reaching and grasping with a humanoid robot. Robotics and Autonomous Systems 37: 7-8.
Detry R, Ek CH, Madry M, et al. (2013) Learning a dictionary of prototypical grasp-predicting parts from grasping experience. In: International conference on robotics and automation, Karlsruhe, Germany, pp. 601-608. New York: IEEE.
Fagg AH, Arbib MA, (1998) Modeling parietal-premotor interactions in primate control of grasping. Neural Networks 11 (7-8): 1277-1303.
Ferrari C, Canny J, (1992) Planning optimal grasps. In: International conference on robotics and automation, Nice, France, pp. 2290-2295.
Fischinger D, Vincze M, (2012) Empty the basket-a shape based learning approach for grasping piles of unknown objects. In: International conference on intelligent robots and systems, Vilamoura, Portugal, pp. 2051-2057. New York: IEEE/RSJ
Fisher RA, (1953) Dispersion on a sphere. In: Proceedings of the Royal Society London Series A, vol. 217. London: Royal Society, pp. 295-305.
Goins AK, Carpenter R, Wong WK, et al. (2014) Evaluating the efficacy of grasp metrics for utilization in a Gaussian process-based grasp predictor. In: IEEE/RSJ international conference on intelligent robots and systems, Chicago, USA, pp. 3353-3360. New York: IEEE.
Gori I, Pattacini U, Tikhanoff V, et al. (2014) Three-finger precision grasp on incomplete 3D point clouds. In: IEEE international conference on robotics and automation, Hong Kong, China, pp. 5366-5373. New York: IEEE.
Grupen R, (1991) Planning grasp strategies for multifingered robot hands. In: IEEE international conference on robotics and automation, Sacramento, USA, pp. 646-651. New York: IEEE
Hang K, Stork JA, Pokorny FT, et al. (2014) Combinatorial optimization for hierarchical contact-level grasping. In: IEEE international conference on robotics and automation, Hong Kong, China, pp. 381-388. New York: IEEE
Herzog A, Pastor P, Kalakrishnan M, et al. (2014) Learning of grasp selection based on shape-templates. Autonomous Robots 36 (1-2): 51-65.
Hillenbrand U, Roa M, (2012) Transferring functional grasps through contact warping and local replanning. In: IEEE/RSJ international conference on robotics and systems, Vilamoura, Portugal, pp. 2963-2970. New York: IEEE.
Hu Y, Eagleson R, Goodale MA, (1999) Human visual servoing for reaching and grasping: The role of 3D geometric features. In: IEEE international conference on robotics and automation, Detroit, USA, pp. 3209-3216. New York: IEEE
Jakobson LS, Goodale MA, (1991) Factors affecting higher-order movement planning: a kinematic analysis of human prehension. Experimental Brain Research 86 (1): 199-208.
Kamon I, Flash T, Edelman S, (1996) Learning to grasp using visual information. In: IEEE international conference on robotics and automation, vol. 3, Minneapolis, USA, pp. 2470-2476.
Kanatani K, (2005) Statistical Optimization for Geometric Computation: Theory and Practice. New York: Courier Dover Publications.
Kim J, (2007) Example-based grasp adaptation. Master's Thesis, Massachusetts Institute of Technology, USA.
Kim J, Iwamoto K, Kuffner JJ, et al. (2013) Physically based grasp quality evaluation under pose uncertainty. IEEE Transactions on Robotics 29 (6): 1424-1439.
Klingbeil E, Rao D, Carpenter B, et al. (2011) Grasping with application to an autonomous checkout robot. In: IEEE international conference on robotics and automation, Shanghai, China, pp. 2837-2844. New York: IEEE.
Kootstra GW, Popovi M, Jørgensen JA, et al. (2012) Enabling grasping of unknown objects through a synergistic use of edge and surface information. The International Journal of Robotics Research 34: 26-42.
Kopicki M, (2010) Prediction learning in robotic manipulation. PhD Thesis, University of Birmingham, UK.
Kopicki M, (2014) Grasp modelling. patent wo/2014/188177 Available at: https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2014188177. (. accessed 21 May 2014)
Kopicki M, Detry R, Schmidt F, et al. (2014) Learning dextrous grasps that generalise to novel objects by combining hand and contact models. In: IEEE international conference on robotics and automation, Hong Kong, China, pp. 5358-5365. New York: IEEE.
Kroemer O, Detry R, Piater J, et al. (2010) Combining active learning and reactive control for robot grasping. Robotics and Autonomous Systems 58 (9): 1105-1116.
Kroemer O, Ugur E, Oztop E, et al. (2012) A kernel-based approach to direct action perception. In: IEEE international conference on robotics and automation, Minneapolis, USA, pp. 2605-2610. New York: IEEE.
Liu YH, (2000) Computing n-finger form-closure grasps on polygonal objects. The International Journal of Robotics Research 19 (2): 149-158.
Morales A, Chinellato E, Fagg AH, et al. (2004) Using experience for assessing grasp reliability. International Journal of Humanoid Robotics 1 (4): 671-691.
Platt R, Grupen RA, Fagg AH, (2006) Learning grasp context distinctions that generalize. In: Proceedings of the IEEE-RAS international conference on humanoid robots, Genoa, Italy, pp. 504-511. New York: IEEE.
Pollard NS, (2004) Closure and quality equivalence for efficient synthesis of grasps from examples. The International Journal of Robotics Research 23 (6): 595-613.
Ponce J, Faverjon B, (1995) On computing three-finger force-closure grasps of polygonal objects. IEEE Transactions on Robotics and Automation 11 (6): 868-881.
Popovic M, Kraft D, Bodenhagen L, et al. (2010) A strategy for grasping unknown objects based on co-planarity and colour information. Robotics and Autonomous Systems 58 (5): 551-565.
Richtsfeld M, Zillich M, (2008) Grasping unknown objects based on 2.5D range data. In: IEEE international conference on automation science and engineering, Washington, USA, pp. 691-696. New York: IEEE.
Rizzolatti G, Luppino G, (2001) The cortical motor system. Neuron 31 (6): 889-901.
Rosales C, Ros L, Porta JM, et al. (2011) Synthesizing grasp configurations with specified contact regions. The International Journal of Robotics Research 30 (4): 431-443.
Rosales C, Suárez R, Gabiccini M, et al. (2012) On the synthesis of feasible and prehensile robotic grasps. In: IEEE international conference on robotics and automation, Minneapolis, USA, pp. 550-556. New York: IEEE.
Rusu RB, Holzbach A, Diankov R, et al. (2009) Perception for mobile manipulation and grasping using active stereo. In: IEEE-RAS international conference on humanoids, Paris, France, pp. 632-638. New York: IEEE.
Saut J, Sidobre D, (2012) Efficient models for grasp planning with a multi-fingered hand. Robotics and Autonomous Systems 60 (3): 347-357.
Saxena A, Wong L, Ng A, (2008) Learning grasp strategies with partial shape information. In: Proceedings of AAAI, Chicago, USA, pp. 1491-1494. Palo Alto: AAAI.
Shapiro A, Rimon E, Burdick JW, (2004) On the mechanics of natural compliance in frictional contacts and its effect on grasp stiffness and stability. In: IEEE international conference on robotics and automation, vol 2, New Orleans, USA, pp. 1264-1269. New York: IEEE.
Shimoga KB, (1996) Robot grasp synthesis algorithms: A survey. The International Journal of Robotics Research 15 (3): 230-266.
Silverman BW, (1986) Density Estimation for Statistics and Data Analysis. London: Chapman & Hall.
Spivak M, (1999) A Comprehensive Introduction to Differential Geometry, vol. 1. Berkeley: Publish or Perish
Sudderth EB, (2006) Graphical models for visual object recognition and tracking. PhD Thesis, MIT, USA.
ten Pas A, Platt R, (2014) Localizing handle-like grasp affordances in 3D point clouds. In: International symposium on experimental robotics, Marrakech, Morocco.
Trobina M, Leonardis A, (1995) Grasping arbitrarily shaped 3D objects from a pile. In: IEEE international conference on robotics and automation, Nagoya, Japan, pp. 241-246. New York: IEEE
Weber R, Schek HJ, Blott S, (1998) A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In: Proceedings of the 24th international conference on very large databases, vol. 98, pp. 194-205. San Francisco: Morgan Kaufmann.
Xu J, Wang M, Wang H, et al. (2007) Force analysis of whole hand grasp by multifingered robotic hand. In: IEEE international conference on robotics and automation, Rome, Italy, pp. 211-216. New York: IEEE.
Zhang LE, Ciocarlie M, Hsiao K, (2011) Grasp evaluation with graspable feature matching. In: RSS 2011 workshop on mobile manipulation: learning to manipulate, Los Angeles, USA.
Zheng Y, Qian WH, (2005) Coping with the grasping uncertainties in force-closure analysis. The International Journal of Robotics Research 24 (4): 311-327.
