7 papers
Grounded in Time: A Multi-Source Dataset and Benchmark for Temporal Grounding in Robotic Manipulation
Yi Wang, Yang Yang, Guangqi Xu +9
Robotic manipulation often requires inferring task-relevant states from past interactions when the current observation alone is insufficient to determine the appropriate action. De…
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…
Contact SLAM: An Active Tactile Exploration Policy Based on Physical Reasoning Utilized in Robotic Fine Blind Manipulation Tasks
Gaozhao Wang, Xing Liu, Zhenduo Ye +2
Contact-rich manipulation is difficult for robots to execute and requires accurate perception of the environment. In some scenarios, vision is occluded. The robot can then no longe…
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…
Semantic-Geometric-Physical-Driven Robot Manipulation Skill Transfer via Skill Library and Tactile Representation
Mingchao Qi, Yuanjin Li, Xing Liu +2
Developing general robotic systems capable of manipulating in unstructured environments is a significant challenge, particularly as the tasks involved are typically long-horizon an…
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…
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…