14 citations · 61 across the 7 of their papers we have counts for
7 papers
Self-Imitation Learning for Robot Tasks with Sparse and Delayed Rewards
Zhixin Chen, Mengxiang Lin
The application of reinforcement learning (RL) in robotic control is still limited in the environments with sparse and delayed rewards. In this paper, we propose a practical self-i…
Towards Generalization and Data Efficient Learning of Deep Robotic Grasping
Zhixin Chen, Mengxiang Lin, Zhixin Jia +1
Deep reinforcement learning (DRL) has been proven to be a powerful paradigm for learning complex control policy autonomously. Numerous recent applications of DRL in robotic graspin…
Vision-based Robot Manipulation Learning via Human Demonstrations
Zhixin Jia, Mengxiang Lin, Zhixin Chen +1
Vision-based learning methods provide promise for robots to learn complex manipulation tasks. However, how to generalize the learned manipulation skills to real-world interactions…
A Collaborative Aerial-Ground Robotic System for Fast Exploration
Luqi Wang, Daqian Cheng, Fei Gao +4
Autonomous exploration of unknown environments has been widely applied in inspection, surveillance, and search and rescue. In exploration task, the basic requirement for robots is…
Detect Related Bugs from Source Code Using Bug Information
Deqing Wang, Mengxiang Lin, Hui Zhang +1
Open source projects often maintain open bug repositories during development and maintenance, and the reporters often point out straightly or implicitly the reasons why bugs occur…
Predicting Bugs' Components via Mining Bug Reports
Deqing Wang, Hui Zhang, Rui Liu +3
The number of bug reports in complex software increases dramatically. Now bugs are triaged manually, bug triage or assignment is a labor-intensive and time-consuming task. Without…