3 citations · 4 across the 10 of their papers we have counts for
10 papers
STAGE: STyle-controllable Action GEneration for personalized autonomous driving
Zihao Liu, Xing Liu, Yizhai Zhang +1
Driving style refers to the behavioral preferences that drivers maintain during driving, shaped by their diverse experiences, habits, and needs, and is typically reflected in varyi…
Learning Smooth and Robust Space Robotic Manipulation of Dynamic Target via Inter-frame Correlation
Siyi Lang, Hongyi Gao, Yingxin Zhang +5
On-orbit servicing represents a critical frontier in future aerospace engineering, with the manipulation of dynamic non-cooperative targets serving as a key technology. In microgra…
Curiosity-Diffuser: Curiosity Guide Diffusion Models for Reliability
Zihao Liu, Xing Liu, Yuhang Dong +3
One of the bottlenecks in robotic intelligence is the instability of neural network models. This leads to risks when applying intelligence in the physical world. Specifically, imit…
Asynchronous Event-Inertial Odometry using a Unified Gaussian Process Regression Framework
Xudong Li, Zhixiang Wang, Zihao Liu +4
Recent works have combined monocular event camera and inertial measurement unit to estimate the trajectory. However, the asynchronicity of event cameras brings a great chal…
Continuous Gaussian Process Pre-Optimization for Asynchronous Event-Inertial Odometry
Zhixiang Wang, Xudong Li, Yizhai Zhang +2
Event cameras, as bio-inspired sensors, are asynchronously triggered with high-temporal resolution compared to intensity cameras. Recent work has focused on fusing the event measur…
Self-reconfiguration Strategies for Space-distributed Spacecraft
Tianle Liu, Zhixiang Wang, Yongwei Zhang +4
This paper proposes a distributed on-orbit spacecraft assembly algorithm, where future spacecraft can assemble modules with different functions on orbit to form a spacecraft struct…
AsynEIO: Asynchronous Monocular Event-Inertial Odometry Using Gaussian Process Regression
Zhixiang Wang, Xudong Li, Yizhai Zhang +2
Event cameras, when combined with inertial sensors, show significant potential for motion estimation in challenging scenarios, such as high-speed maneuvers and low-light environmen…
An Integrating Comprehensive Trajectory Prediction with Risk Potential Field Method for Autonomous Driving
Kailu Wu, Xing Liu, Feiyu Bian +2
Due to the uncertainty of traffic participants' intentions, generating safe but not overly cautious behavior in interactive driving scenarios remains a formidable challenge for aut…
AsynEVO: Asynchronous Event-Driven Visual Odometry for Pure Event Streams
Zhixiang Wang, Xudong Li, Yizhai Zhang +1
Event cameras are bio-inspired vision sensors that asynchronously measure per-pixel brightness changes.The high-temporal resolution and asynchronicity of event cameras offer great…
Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition
Zihao Liu, Xing Liu, Yizhai Zhang +2
Robotic manipulation holds the potential to replace humans in the execution of tedious or dangerous tasks. However, control-based approaches are not suitable due to the difficulty…