Neuro-inspired continual anthropomorphic grasping
暂无分享,去创建一个
[1] Daniele Calandriello,et al. Information-theoretic Online Memory Selection for Continual Learning , 2022, ICLR.
[2] Wanyi Li,et al. DVGG: Deep Variational Grasp Generation for Dextrous Manipulation , 2022, IEEE Robotics and Automation Letters.
[3] W. Kim,et al. A 3D-printed neuromorphic humanoid hand for grasping unknown objects , 2022, iScience.
[4] Yi Sun,et al. Toward Human-Like Grasp: Dexterous Grasping via Semantic Representation of Object-Hand , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[5] Xiaolong Wang,et al. Hand-Object Contact Consistency Reasoning for Human Grasps Generation , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[6] Simone Calderara,et al. Avalanche: an End-to-End Library for Continual Learning , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[7] Tyler L. Hayes,et al. Replay in Deep Learning: Current Approaches and Missing Biological Elements , 2021, Neural Computation.
[8] Jihwan Bang,et al. Rainbow Memory: Continual Learning with a Memory of Diverse Samples , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Peter Corke,et al. EGAD! An Evolved Grasping Analysis Dataset for Diversity and Reproducibility in Robotic Manipulation , 2020, IEEE Robotics and Automation Letters.
[10] Soheil Kolouri,et al. Neuromodulated attention and goal-driven perception in uncertain domains , 2020, Neural Networks.
[11] David M. Smith,et al. Context-dependent odor learning requires the anterior olfactory nucleus , 2020, bioRxiv.
[12] Michael Levin,et al. Regenerative Adaptation to Electrochemical Perturbation in Planaria: A Molecular Analysis of Physiological Plasticity , 2019, iScience.
[13] Danica Kragic,et al. Trends and challenges in robot manipulation , 2019, Science.
[14] Dieter Fox,et al. 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[15] Cordelia Schmid,et al. Learning Joint Reconstruction of Hands and Manipulated Objects , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Marc'Aurelio Ranzato,et al. On Tiny Episodic Memories in Continual Learning , 2019 .
[17] F. Ficuciello,et al. Vision-based grasp learning of an anthropomorphic hand-arm system in a synergy-based control framework , 2019, Science Robotics.
[18] Stefan Wermter,et al. Continual Lifelong Learning with Neural Networks: A Review , 2018, Neural Networks.
[19] Elizabeth A. McDevitt,et al. Human hippocampal replay during rest prioritizes weakly learned information and predicts memory performance , 2017, Nature Communications.
[20] Surya Ganguli,et al. Continual Learning Through Synaptic Intelligence , 2017, ICML.
[21] Andrei A. Rusu,et al. Overcoming catastrophic forgetting in neural networks , 2016, Proceedings of the National Academy of Sciences.
[22] James L. McClelland,et al. What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated , 2016, Trends in Cognitive Sciences.
[23] Siddhartha S. Srinivasa,et al. Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set , 2015, IEEE Robotics & Automation Magazine.
[24] G. Tononi,et al. Sleep and the Price of Plasticity: From Synaptic and Cellular Homeostasis to Memory Consolidation and Integration , 2014, Neuron.
[25] Yuval Tassa,et al. MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[26] Hong Liu,et al. Multisensory five-finger dexterous hand: The DLR/HIT Hand II , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[27] W. Abraham. Metaplasticity: tuning synapses and networks for plasticity , 2008, Nature Reviews Neuroscience.
[28] James L. McClelland,et al. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.
[29] Jeffrey Scott Vitter,et al. Random sampling with a reservoir , 1985, TOMS.