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Publication search results
found 51 matches
- 2024
- Qifeng Wan, Aocheng Luo, Yan Meng, Chong Zhang, Wanchao Chi, Shenghao Zhang, Yuzhen Liu, Qiuguo Zhu, Shihan Kong, Junzhi Yu:
Learning and Reusing Quadruped Robot Movement Skills from Biological Dogs for Higher-Level Tasks. Sensors 24(1): 28 (2024) - 2023
- Mahdiar Edraki, Pauline Maurice, Dagmar Sternad:
Humans Need Augmented Feedback to Physically Track Non-Biological Robot Movements. ICRA 2023: 9872-9878 - 2022
- Sweta Kumari, V. Srinivasa Chakravarthy:
Biologically inspired image classifier based on saccadic eye movement design for convolutional neural networks. Neurocomputing 513: 294-317 (2022) - Ruizhi Zhang:
Analyzing body changes of high-level dance movements through biological image visualization technology by convolutional neural network. J. Supercomput. 78(8): 10521-10541 (2022) - 2021
- Johannes R. Walter, Michael Günther, Daniel F. B. Haeufle, Syn Schmitt:
A geometry- and muscle-based control architecture for synthesising biological movement. Biol. Cybern. 115(1): 7-37 (2021) - Johannes R. Walter, Michael Günther, Daniel F. B. Haeufle, Syn Schmitt:
Correction to: A geometry- and muscle-based control architecture for synthesising biological movement. Biol. Cybern. 115(2): 193 (2021) - Henrique Dantas, Taylor C. Hansen, David J. Warren, V. John Mathews:
Interpreting Volitional Movement Intent From Biological Signals: A Review. IEEE Signal Process. Mag. 38(4): 23-33 (2021) - 2019
- Rina R. Wehbe, Giovanni Riberio, Kin Pon Fung, Lennart E. Nacke, Edward Lank:
Biologically-Inspired Gameplay: Movement Algorithms for Artificially Intelligent (AI) Non-Player Characters (NPC). Graphics Interface 2019: 28:1-28:9 - 2018
- Jonathan Hoff, Alireza Ramezani, Soon-Jo Chung, Seth Hutchinson:
Optimizing the structure and movement of a robotic bat with biological kinematic synergies. Int. J. Robotics Res. 37(10) (2018) - 2017
- Hiroki Sayama, Farnaz Zamani Esfahlani, Ali Jazayeri, J. Scott Turner:
Robust tracking and behavioral modeling of movements of biological collectives from ordinary video recordings. SSCI 2017: 1-8 - Hiroki Sayama, Farnaz Zamani Esfahlani, Ali Jazayeri, J. Scott Turner:
Robust Tracking and Behavioral Modeling of Movements of Biological Collectives from Ordinary Video Recordings. CoRR abs/1707.07310 (2017) - 2016
- Geoffrey Gamble:
Biologically Plausible Control of Fast Reaching Movements Using Non-Traditional Cost Functions. University of California, San Diego, USA, 2016 - Bardia Yousefi, Chu Kiong Loo:
Slow feature action prototypes effect assessment in mechanism for recognition of biological movement ventral stream. Int. J. Bio Inspired Comput. 8(6): 410-424 (2016) - Alessia Vignolo, Francesco Rea, Nicoletta Noceti, Alessandra Sciutti, Francesca Odone, Giulio Sandini:
Biological movement detector enhances the attentive skills of humanoid robot iCub. Humanoids 2016: 338-344 - Wei Wu, Hong Qiao, Jiahao Chen, Peijie Yin, Yinlin Li:
Biologically inspired model simulating visual pathways and cerebellum function in human - Achieving visuomotor coordination and high precision movement with learning ability. CoRR abs/1603.02351 (2016) - 2015
- Zeng Tang, Jun Lu, Pei-tao Wang:
A Unified Biologically-Inspired Prediction Framework for Classification of Movement-Related Potentials Based on a Logistic Regression Model. Cogn. Comput. 7(6): 731-739 (2015) - Vincenzo Maffei, Iole Indovina, Emiliano Macaluso, Yuri P. Ivanenko, Guy A. Orban, Francesco Lacquaniti:
Visual gravity cues in the interpretation of biological movements: neural correlates in humans. NeuroImage 104: 221-230 (2015) - Marcello Mulas, Manxiu Zhan, Jörg Conradt:
Integration of Biological Neural Models for the Control of Eye Movements in a Robotic Head. Living Machines 2015: 231-242 - 2014
- Etienne Thoret:
Caractérisation acoustique des relations entre les mouvements biologiques et la perception sonore : application au contrôle de la synthèse et à l'apprentissage de gestes. (Acoustic characterisation of relations between biological movements and auditory perception: applications to the control of sound synthesis and gesture learning). Aix-Marseille University, Aix-en-Provence, France, 2014 - 2013
- Ning Qian, Yu Jiang, Zhong-Ping Jiang, Pietro Mazzoni:
Movement Duration, Fitts's Law, and an Infinite-Horizon Optimal Feedback Control Model for Biological Motor Systems. Neural Comput. 25(3): 697-724 (2013) - Yuki Ueyama:
Effects of Cost Structure in Optimal Control on Biological Arm Movement: A Simulation Study. ICONIP (1) 2013: 241-248 - 2012
- Zhenhui Li, Jiawei Han, Bolin Ding, Roland Kays:
Mining periodic behaviors of object movements for animal and biological sustainability studies. Data Min. Knowl. Discov. 24(2): 355-386 (2012) - 2011
- Aleksandra Kupferberg, Stefan Glasauer, Markus Huber, Markus Rickert, Alois C. Knoll, Thomas Brandt:
Biological movement increases acceptance of humanoid robots as human partners in motor interaction. AI Soc. 26(4): 339-345 (2011) - Martin Lesmana, Dinesh K. Pai:
A biologically inspired controller for fast eye movements. ICRA 2011: 3670-3675 - Branislav Borovac, Mirko Rakovic, Milutin Nikolic:
Biologicaly inspired on-line generation of complex movements using primitives. RiiSS 2011: 99-106 - 2010
- Michael Gienger, Christian Goerick, Edgar Körner:
Movement control in biologically plausible frames of reference. ISR/ROBOTIK 2010: 1-7 - 2009
- Silvia Conforto, Ivan Bernabucci, Giacomo Severini, Maurizio Schmid, Tommaso D'Alessio:
Biologically inspired modelling for the control of the upper limb movements: from concept studies to future applications. Frontiers Neurorobotics 3: 3 (2009) - Heiko Hoffmann, Peter Pastor, Dae-Hyung Park, Stefan Schaal:
Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance. ICRA 2009: 2587-2592 - 2008
- Bastien Berret, Christian Darlot, Frédéric Jean, Thierry Pozzo, Charalambos Papaxanthis, Jean-Paul Gauthier:
The Inactivation Principle: Mathematical Solutions Minimizing the Absolute Work and Biological Implications for the Planning of Arm Movements. PLoS Comput. Biol. 4(10) (2008) - 2007
- Eduardo Akira Kinto, Emílio Del Moral Hernandez, Alexis Marcano-Cedeño, Francisco Javier Ropero Peláez:
A Preliminary Neural Model for Movement Direction Recognition Based on Biologically Plausible Plasticity Rules. IWINAC (2) 2007: 628-636
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