no code implementations • 22 Oct 2023 • Francisco Munguia-Galeano, Jihong Zhu, Juan David Hernández, Ze Ji
Bagging is an essential skill that humans perform in their daily activities.
no code implementations • 15 Oct 2023 • Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji
The novelty of the IECR framework lies in its capacity to extract contextual information from the environment and learn from the CKFs' representation.
no code implementations • 7 Oct 2023 • Shuyang Liu, Zixuan Chen, Ge Shi, Ji Wang, Changjie Fan, Yu Xiong, Runze Wu Yujing Hu, Ze Ji, Yang Gao
The selection of appropriate baselines in IG is crucial for crafting meaningful and unbiased explanations of model predictions in diverse settings.
no code implementations • 28 Sep 2023 • Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen, Yang Gao
Heuristically, we extend the usual notion of action to a dual Cognition (high-level)-Action (low-level) architecture by introducing intuitive human cognitive priors, and propose a novel skill IL framework through human-robot interaction, called Cognition-Action-based Skill Imitation Learning (CasIL), for the robotic agent to effectively cognize and imitate the critical skills from raw visual demonstrations.
no code implementations • 9 Mar 2023 • Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
As a popular concept proposed in the field of psychology, affordance has been regarded as one of the important abilities that enable humans to understand and interact with the environment.
1 code implementation • 19 Jul 2022 • Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
Although Deep Reinforcement Learning (DRL) has been popular in many disciplines including robotics, state-of-the-art DRL algorithms still struggle to learn long-horizon, multi-step and sparse reward tasks, such as stacking several blocks given only a task-completion reward signal.
2 code implementations • 12 May 2021 • Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai
This work re-implements the OpenAI Gym multi-goal robotic manipulation environment, originally based on the commercial Mujoco engine, onto the open-source Pybullet engine.
1 code implementation • 21 Feb 2021 • Hanlin Niu, Ze Ji, Farshad Arvin, Barry Lennox, Hujun Yin, Joaquin Carrasco
An efficient training strategy is proposed to allow a robot to learn from both human experience data and self-exploratory data.
no code implementations • 21 Feb 2021 • Hanlin Niu, Ze Ji, Zihang Zhu, Hujun Yin, Joaquin Carrasco
This paper presents the development of a control system for vision-guided pick-and-place tasks using a robot arm equipped with a 3D camera.
no code implementations • 7 Feb 2019 • Houpu Yao, Jingjing Wen, Yi Ren, Bin Wu, Ze Ji
The results show that the proposed network is capable to map low-end shock signals to its high-end counterparts with satisfactory accuracy.