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Guoqiang Hu

8 accepted papers

2025

Learning Routing Policy With Spatial Awareness: A Distance-Based Attention Mechanism for Multi-Robot Routing With Time Windows in Multi-Product Delivery

RA-L 2025

Deep Reinforcement Learning (DRL) approaches with Attention Mechanism have shown efficiency and effectiveness for combinatorial optimization problem, such as routing problem for autonomous vehicles (VRP). However, the real-world routing problems often involve intricate constraints and multiple objec

Cited by 1SourceScholar
2025

ManiGaussian++: General Robotic Bimanual Manipulation with Hierarchical Gaussian World Model

IROS 2025

Multi-task robotic bimanual manipulation is becoming increasingly popular as it enables sophisticated tasks that require diverse dual-arm collaboration patterns. Compared to unimanual manipulation, bimanual tasks pose challenges to understanding the multi-body spatiotemporal dynamics. An existing me

Cited by 9SourcecodeScholar
2025

Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression Under Indirect Supervision

IJCAI 2025

Supervised time series prediction relies on directly measured target variables, but real-world use cases such as predicting remaining useful life (RUL) involve indirect supervision, where the target variable is labeled as a function of another dependent variable. Trending temporal regression techniq

Cited by 0SourcePDFScholar
2024

Recent Advances in End-to-End Simultaneous Speech Translation

IJCAI 2024poster

Simultaneous speech translation (SimulST) is a demanding task that involves generating translations in real-time while continuously processing speech input. This paper offers a comprehensive overview of the recent developments in SimulST research, focusing on four major challenges. Firstly, the comp…

Cited by 2SourcePDFScholar
2024

Safe Human Dual-Robot Interaction Based on Control Barrier Functions and Cooperation Functions

RA-L 2024

Nowadays, humans are allowed to work side-by-side with a robot team, which consists of dual robots in most cases. To ensure human safety, the motion of each robot should be reactive to and compliant with humans via human-in-the-loop control. Furthermore, when the robots conduct a cooperative task, t

Cited by 15SourceScholar
2024

Safety-Guaranteed and Task-Consistent Human-Robot Interaction Using High-Order Time-Varying Control Barrier Functions and Quadratic Programs

RA-L 2024

Close human-robot interaction enables the combination of complementary abilities of humans and robots, thereby promoting efficient manufacturing. Human safety is an important aspect of human-robot interaction. To this end, the robot executes an evasive motion for collision avoidance when the human a

Cited by 13SourceScholar
2023

Dual-Mode Human-Robot Collaboration With Guaranteed Safety Using Time-Varying Zeroing Control Barrier Functions and Quadratic Program

RA-L 2023

Safety and efficiency are two important aspects of human-robot collaboration (HRC). Most existing control methods for HRC consider either contactless HRC or physical HRC, hindering more efficient HRC. The proposed control framework enables dual-mode HRC, filling the gap between contactless and physi

Cited by 9SourceScholar