Results 141 to 150 of about 11,612 (263)

Enhancing robotics learning using imitation learning through visual-based behaviour cloning [PDF]

The development of the behaviour cloning technique allows robots to mimic human experts’ behaviour by observation. The technique is mainly based on model architecture’s design and associated training mechanisms.
Paul Wood, Aaisha Makkar, Wood, P., Jadeja, Y., Makkar, A., Yagna Jadeja, Mahmoud Shafik, Shafik, M.   +7 more
core   +1 more source

Humanoid Robot Walking and Grasping Method Using Similarity Reward-Augmented Generative Adversarial Imitation Learning

Sensors
This study aims to enhance the precision of humanoid robots in imitating complex human “walking–grasping” coordinated movements. Addressing limitations in sample efficiency and reward function design in Generative Adversarial Imitation Learning (GAIL ...
Gen-Yong Huang, Wen-Feng Li
doaj   +1 more source

Quantifying Generalisation in Imitation Learning

CoRR
Imitation learning benchmarks often lack sufficient variation between training and evaluation, limiting meaningful generalisation assessment. We introduce Labyrinth, a benchmarking environment designed to test generalisation with precise control over structure, start and goal positions, and task complexity.
Nathan Gavenski, Odinaldo Rodrigues
openaire   +2 more sources

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Imitation, local interaction, and efficiency: reappraisal [PDF]

We revisit the model of Alos-Ferrer and Weidenholzer (2006) but under the assumption that risk-dominant equilibria are Pareto efficient. It is found that risk-dominant equilibria, non-risk-dominant equilibria, and some non-monomorphic states can emerge ...
Yunshyong Chow, Hsiao-Chi Chen, Li-Chau Wu   +2 more
core  

The Mirror Protocol for teaching generalized Imitation in six children with Autism Spectrum Disorder

Journal of Clinical & Developmental Psychology
Background: Generalized Imitation is a higher-order ability that enables an individual to imitate novel behavior without extrinsic reinforcement. With this capability, children often learn by seizing natural daily opportunities. It is different, however,
Alice Bellodi, Monica Cattalini, Emanuela Riccio, Samantha Giannatiempo   +3 more
doaj   +1 more source

Action-Constrained Imitation Learning

CoRR
Published in ICML ...
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung-Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh   +6 more
openaire   +3 more sources

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Actions speak louder than words: comparing automatic imitation and verbal command

, 2008
Automatic imitation – copying observed actions without intention – is known to occur, not only in neurological patients and those with developmental disorders, but also in healthy, typically-developing adults and children.
Badets, A., Gillmeister, H., Heyes, C.
core