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
Thus, we propose a novel baseline construction method called Shapley Integrated Gradients (SIG) that searches for a set of baselines by proportional sampling to partly simulate the computation path of Shapley Value.
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.