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In this work, we propose a human-like Autonomous Developmental Evolutionary Learning (ADEL) framework combining both genotype (evolution strategies) and ...
We introduce the Q-network to interact with the environment for learning manipulation policies and use an evolutionary algorithm to automatically optimize ...
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IEEE Transactions on Robotics, 2024. 1, 2024. ADEL: Autonomous Developmental Evolutionary Learning for Robotic Manipulation. Y Li, P Wang, X Shen, J Liu, H Duan ...
al., ADEL: Autonomous Developmental Evolutionary Learning for Robotic Manipulation, ICDL 2021; Jia Sun, Peng Wang*, Yongkang Luo, Wanyi Li. Surface Defects ...
Machine learning is now playing important role in robotic object manipulation. In addition, force control is necessary for manipulating various objects to ...
ADEL: Autonomous Developmental Evolutionary Learning for Robotic Manipulation. Yiming Li; Peng Wang; Xiaofei Shen; Jiayuan Liu; Haonan Duan; Chenlin Zhou.
ADEL: AUTONOMOUS DEVELOPMENTAL EVOLUTIONARY LEARNING FOR ROBOTIC ... ENABLING THE SENSE OF SELF IN A DUAL-ARM ROBOT ... PROPERTY-AWARE ROBOT OBJECT MANIPULATION: A ...
Therefore, this work improves robots' autonomous abilities and reduces their learning complexity. Additionally, this work introduces a new robotic learning ...
Missing: ADEL: | Show results with:ADEL:
We describe a learning-based approach to hand-eye coordination for robotic grasping from monocular images.