3 citations · 3 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…